Presentation on ReplacingMergeTree by Robert Hodges of Altinity at the 14 December 2022 SF Bay Area ClickHouse Meetup (https://www.meetup.com/san-francisco-bay-area-clickhouse-meetup/events/289605843/)
All About JSON and ClickHouse - Tips, Tricks and New Features-2022-07-26-FINA...Altinity Ltd
JSON is the king of data formats and ClickHouse has a plethora of features to handle it. This webinar covers JSON features from A to Z starting with traditional ways to load and represent JSON data in ClickHouse. Next, we’ll jump into the JSON data type: how it works, how to query data from it, and what works and doesn’t work. JSON data type is one of the most awaited features in the 2022 ClickHouse roadmap, so you won’t want to miss out. Finally, we’ll talk about Jedi master techniques like adding bloom filter indexing on JSON data.
Deep Dive on ClickHouse Sharding and Replication-2202-09-22.pdfAltinity Ltd
Join the Altinity experts as we dig into ClickHouse sharding and replication, showing how they enable clusters that deliver fast queries over petabytes of data. We’ll start with basic definitions of each, then move to practical issues. This includes the setup of shards and replicas, defining schema, choosing sharding keys, loading data, and writing distributed queries. We’ll finish up with tips on performance optimization.
#ClickHouse #datasets #ClickHouseTutorial #opensource #ClickHouseCommunity #Altinity
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Join the ClickHouse Reddit community: https://www.reddit.com/r/Clickhouse/
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Learn more about Altinity!
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ClickHouse tips and tricks. Webinar slides. By Robert Hodges, Altinity CEOAltinity Ltd
From webinar on December 3, 2019
New users of ClickHouse love the speed but may run into a few surprises when designing applications. Column storage turns classic SQL design precepts on their heads. This talk shares our favorite tricks for building great applications. We'll talk about fact tables and dimensions, materialized views, codecs, arrays, and skip indexes, to name a few of our favorites. We'll show examples of each and also reserve time to handle questions. Join us to take your next step to ClickHouse guruhood!
Speaker Bio:
Robert Hodges is CEO of Altinity, which offers enterprise support for ClickHouse. He has over three decades of experience in data management spanning 20 different DBMS types. ClickHouse is his current favorite. ;)
ClickHouse Features for Advanced Users, by Aleksei MilovidovAltinity Ltd
This document summarizes key features for advanced users of ClickHouse, an open-source column-oriented database management system. It describes sample keys that can be defined in MergeTree tables to generate instant reports on large customer data. It also summarizes intermediate aggregation states, consistency modes, and tools for processing data without a server like clickhouse-local.
A Fast Intro to Fast Query with ClickHouse, by Robert HodgesAltinity Ltd
Slides for the Webinar, presented on March 6, 2019
For the webinar video visit https://www.altinity.com/
Extracting business insight from massive pools of machine-generated data is the central analytic problem of the digital era. ClickHouse data warehouse addresses it with sub-second SQL query response on petabyte-scale data sets. In this talk we'll discuss the features that make ClickHouse increasingly popular, show you how to install it, and teach you enough about how ClickHouse works so you can try it out on real problems of your own. We'll have cool demos (of course) and gladly answer your questions at the end.
Speaker Bio:
Robert Hodges is CEO of Altinity, which offers enterprise support for ClickHouse. He has over three decades of experience in data management spanning 20 different DBMS types. ClickHouse is his current favorite. ;)
ClickHouse Deep Dive, by Aleksei MilovidovAltinity Ltd
This document provides an overview of ClickHouse, an open source column-oriented database management system. It discusses ClickHouse's ability to handle high volumes of event data in real-time, its use of the MergeTree storage engine to sort and merge data efficiently, and how it scales through sharding and distributed tables. The document also covers replication using the ReplicatedMergeTree engine to provide high availability and fault tolerance.
A Day in the Life of a ClickHouse Query Webinar Slides Altinity Ltd
Why do queries run out of memory? How can I make my queries even faster? How should I size ClickHouse nodes for best cost-efficiency? The key to these questions and many others is knowing what happens inside ClickHouse when a query runs. This webinar is a gentle introduction to ClickHouse internals, focusing on topics that will help your applications run faster and more efficiently. We’ll discuss the basic flow of query execution, dig into how ClickHouse handles aggregation and joins, and show you how ClickHouse distributes processing within a single CPU as well as across many nodes in the network. After attending this webinar you’ll understand how to open up the black box and see what the parts are doing.
ClickHouse materialized views - a secret weapon for high performance analytic...Altinity Ltd
ClickHouse materialized views allow you to precompute aggregates and transform data to improve query performance. Materialized views can store precomputed aggregates from a source table to speed up aggregation queries over 100x. They can also retrieve the last data point for each item over 100x faster than scanning the raw data table. Materialized views provide a way to optimize data storage layout and indexing to improve query efficiency.
Webinar: Secrets of ClickHouse Query Performance, by Robert HodgesAltinity Ltd
From webinars September 11 and September 17, 2019
ClickHouse is famous for speed. That said, you can almost always make it faster! This webinar uses examples to teach you how to deduce what queries are actually doing by reading the system log and system tables. We'll then explore standard ways to increase query speed: data types and encodings, filtering, join reordering, skip indexes, materialized views, session parameters, to name just a few. In each case we'll circle back to query plans and system metrics to demonstrate changes in ClickHouse behavior that explain the boost in performance. We hope you'll enjoy the first step to becoming a ClickHouse performance guru!
Speaker Bio:
Robert Hodges is CEO of Altinity, which offers enterprise support for ClickHouse. He has over three decades of experience in data management spanning 20 different DBMS types. ClickHouse is his current favorite. ;)
Clickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlareAltinity Ltd
Presented on December ClickHouse Meetup. Dec 3, 2019
Concrete findings and "best practices" from building a cluster sized for 150 analytic queries per second on 100TB of http logs. Topics covered: hardware, clients (http vs native), partitioning, indexing, SELECT vs INSERT performance, replication, sharding, quotas, and benchmarking.
Alexander Sapin from Yandex presents reasoning, design considerations, and implementation of ClickHouse Keeper. It replaces ZooKeeper in ClickHouse clusters, thereby simplifying operation enormously.
All about Zookeeper and ClickHouse Keeper.pdfAltinity Ltd
ClickHouse clusters depend on ZooKeeper to handle replication and distributed DDL commands. In this Altinity webinar, we’ll explain why ZooKeeper is necessary, how it works, and introduce the new built-in replacement named ClickHouse Keeper. You’ll learn practical tips to care for ZooKeeper in sickness and health. You’ll also learn how/when to use ClickHouse Keeper. We will share our recommendations for keeping that happy as well.
This document provides an overview and introduction to ClickHouse, an open source column-oriented data warehouse. It discusses installing and running ClickHouse on Linux and Docker, designing tables, loading and querying data, available client libraries, performance tuning techniques like materialized views and compression, and strengths/weaknesses for different use cases. More information resources are also listed.
ClickHouse and the Magic of Materialized Views, By Robert Hodges and Altinity...Altinity Ltd
Presented at the webinar, June 26, 2019
Materialized views are a killer feature of ClickHouse that can speed up queries 20X or more. Our webinar will teach you how to use this potent tool starting with how to create materialized views and load data. We'll then walk through cookbook examples to solve practical problems like deriving aggregates that outlive base data, answering last point queries, and using AggregateFunctions to handle problems like counting unique values, which is a special ClickHouse feature. There will be time for Q&A at the end. At that point you'll be a wizard of ClickHouse materialized views and able to cast spells of your own.
ClickHouse Query Performance Tips and Tricks, by Robert Hodges, Altinity CEOAltinity Ltd
1. ClickHouse uses a MergeTree storage engine that stores data in compressed columnar format and partitions data into parts for efficient querying.
2. Query performance can be optimized by increasing threads, reducing data reads through filtering, restructuring queries, and changing the data layout such as partitioning strategy and primary key ordering.
3. Significant performance gains are possible by optimizing the data layout, such as keeping an optimal number of partitions, using encodings to reduce data size, and skip indexes to avoid unnecessary I/O. Proper indexes and encodings can greatly accelerate queries.
ClickHouse Materialized Views: The Magic ContinuesAltinity Ltd
Slides for the webinar, presented on February 26, 2020
By Robert Hodges, Altinity CEO
Materialized views are the killer feature of ClickHouse, and the Altinity 2019 webinar on how they work was very popular. Join this updated webinar to learn how to use materialized views to speed up queries hundreds of times. We'll cover basic design, last point queries, using TTLs to drop source data, counting unique values, and other useful tricks. Finally, we'll cover recent improvements that make materialized views more useful than ever.
High Performance, High Reliability Data Loading on ClickHouseAltinity Ltd
This document provides a summary of best practices for high reliability data loading in ClickHouse. It discusses ClickHouse's ingestion pipeline and strategies for improving performance and reliability of inserts. Some key points include using larger block sizes for inserts, avoiding overly frequent or compressed inserts, optimizing partitioning and sharding, and techniques like buffer tables and compact parts. The document also covers ways to make inserts atomic and handle deduplication of records through block-level and logical approaches.
Migration to ClickHouse. Practical guide, by Alexander ZaitsevAltinity Ltd
This document provides a summary of migrating to ClickHouse for analytics use cases. It discusses the author's background and company's requirements, including ingesting 10 billion events per day and retaining data for 3 months. It evaluates ClickHouse limitations and provides recommendations on schema design, data ingestion, sharding, and SQL. Example queries demonstrate ClickHouse performance on large datasets. The document outlines the company's migration timeline and challenges addressed. It concludes with potential future integrations between ClickHouse and MySQL.
Real-time Data Ingestion from Kafka to ClickHouse with Deterministic Re-tries...HostedbyConfluent
In a real-time data ingestion pipeline for analytical processing, efficient and fast data loading to a columnar database such as ClickHouse favors large blocks over individual rows. Therefore, applications often rely on some buffering mechanism such as Kafka to store data temporarily, and having a message processing engine to aggregate Kafka messages into large blocks which then get loaded to the backend database. Due to various failures in this pipeline, a naive block aggregator that forms blocks without additional measures, would cause data duplication or data loss. We have developed a solution to avoid these issues, thereby achieving exactly-once delivery from Kafka to ClickHouse. Our solution utilizes Kafka’s metadata to keep track of blocks that we intend to send to ClickHouse, and later uses this metadata information to deterministically re-produce ClickHouse blocks for re-tries in case of failures. The identical blocks are guaranteed to be deduplicated by ClickHouse. We have also developed a run-time verification tool that monitors Kafka’s internal metadata topic, and raises alerts when the required invariants for exactly-once delivery are violated. Our solution has been developed and deployed to the production clusters that span multiple datacenters at eBay.
Introduction to the Mysteries of ClickHouse Replication, By Robert Hodges and...Altinity Ltd
Presented at the webinar, July 31, 2019
Built-in replication is a powerful ClickHouse feature that helps scale data warehouse performance as well as ensure high availability. This webinar will introduce how replication works internally, explain configuration of clusters with replicas, and show you how to set up and manage ZooKeeper, which is necessary for replication to function. We'll finish off by showing useful replication tricks, such as utilizing replication to migrate data between hosts. Join us to become an expert in this important subject!
Webinar slides: MORE secrets of ClickHouse Query Performance. By Robert Hodge...Altinity Ltd
The document provides an overview of ClickHouse and techniques for optimizing performance. It discusses how the ClickHouse query log can help understand query execution and bottlenecks. Methods covered for improving performance include adding indexes, optimizing data layout through partitioning and ordering, using encodings to reduce data size, and materialized views. Storage optimizations like multi-disk volumes and tiered storage are also introduced.
ClickHouse Mark Cache, by Mik Kocikowski, CloudflareAltinity Ltd
The document summarizes how ClickHouse stores and retrieves data from MergeTree tables. It discusses how data is stored in parts organized by primary key, with each column's data and marks stored in separate files. It describes how the primary index and mark cache are used to efficiently find and read data, and how mark cache performance impacts SELECT queries. It provides examples of calculating mark sizes and dropping the mark cache.
Better than you think: Handling JSON data in ClickHouseAltinity Ltd
Robert Hodges shows how ClickHouse, a relational database with tables, can offer high-performance analysis of JSON data. This talk provides a cookbook of schema design, indexing, data loading, and query tricks we gave learned over years of helping users build analytical apps for servicds logs, observability data, financial transactions, and other types of semi-structured data. Robert Hodges is CEO of Altinity and a certified database geek.
https://altinity.com
https://www.meetup.com/San-Francisco-Bay-Area-ClickHouse-Meetup
ClickHouse Unleashed 2020: Our Favorite New Features for Your Analytical Appl...Altinity Ltd
Robert Hodges is the Altinity CEO with over 30 years of experience in DBMS, virtualization, and security. ClickHouse is the 20th DBMS he has worked with. Alexander Zaitsev is the Altinity CTO and founder with decades of experience designing and operating petabyte-scale analytic systems. Vitaliy Zakaznikov is the QA Architect with over 13 years of testing hardware and software and is the author of the TestFlows open source testing tool.
Materialize: a platform for changing dataAltinity Ltd
Frank McSherry, Chief Scientist from Materialize, joins the SF Bay Area ClickHouse meetup to introduce Materialize, which creates real-time materialized views on event streams. Materialize is in the same space, solving similar problems to ClickHouse. It's fun to hear what the neighbors are up to.
Materialize: https://materialize.com
Meetup: https://www.meetup.com/San-Francisco-Bay-Area-ClickHouse-Meetup/events/282872933/
Altinity: https://altinity.com
Altinity Quickstart for ClickHouse-2202-09-15.pdfAltinity Ltd
Welcome to a live session of our popular introduction to ClickHouse application development. The talk explains what ClickHouse is and how to install it. We then work through the basics of inserting and selecting data, followed by tips on how to maximize the legendary performance of ClickHouse. You’ll get everything you need to get started on your own application, including some time at the end for questions.
A day in the life of a click house query webinar
Why do queries run out of memory? How can I make my queries even faster? How should I size ClickHouse nodes for best cost-efficiency? The key to these questions and many others is knowing what happens inside ClickHouse when a query runs. This webinar is a gentle introduction to ClickHouse internals, focusing on topics that will help your applications run faster and more efficiently. We’ll discuss the basic flow of query execution, dig into how ClickHouse handles aggregation and joins, and show you how ClickHouse distributes processing within a single CPU as well as across many nodes in the network. After attending this webinar you’ll understand how to open up the black box and see what the parts are doing.
Webinar: Secrets of ClickHouse Query Performance, by Robert HodgesAltinity Ltd
From webinars September 11 and September 17, 2019
ClickHouse is famous for speed. That said, you can almost always make it faster! This webinar uses examples to teach you how to deduce what queries are actually doing by reading the system log and system tables. We'll then explore standard ways to increase query speed: data types and encodings, filtering, join reordering, skip indexes, materialized views, session parameters, to name just a few. In each case we'll circle back to query plans and system metrics to demonstrate changes in ClickHouse behavior that explain the boost in performance. We hope you'll enjoy the first step to becoming a ClickHouse performance guru!
Speaker Bio:
Robert Hodges is CEO of Altinity, which offers enterprise support for ClickHouse. He has over three decades of experience in data management spanning 20 different DBMS types. ClickHouse is his current favorite. ;)
Clickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlareAltinity Ltd
Presented on December ClickHouse Meetup. Dec 3, 2019
Concrete findings and "best practices" from building a cluster sized for 150 analytic queries per second on 100TB of http logs. Topics covered: hardware, clients (http vs native), partitioning, indexing, SELECT vs INSERT performance, replication, sharding, quotas, and benchmarking.
Alexander Sapin from Yandex presents reasoning, design considerations, and implementation of ClickHouse Keeper. It replaces ZooKeeper in ClickHouse clusters, thereby simplifying operation enormously.
All about Zookeeper and ClickHouse Keeper.pdfAltinity Ltd
ClickHouse clusters depend on ZooKeeper to handle replication and distributed DDL commands. In this Altinity webinar, we’ll explain why ZooKeeper is necessary, how it works, and introduce the new built-in replacement named ClickHouse Keeper. You’ll learn practical tips to care for ZooKeeper in sickness and health. You’ll also learn how/when to use ClickHouse Keeper. We will share our recommendations for keeping that happy as well.
This document provides an overview and introduction to ClickHouse, an open source column-oriented data warehouse. It discusses installing and running ClickHouse on Linux and Docker, designing tables, loading and querying data, available client libraries, performance tuning techniques like materialized views and compression, and strengths/weaknesses for different use cases. More information resources are also listed.
ClickHouse and the Magic of Materialized Views, By Robert Hodges and Altinity...Altinity Ltd
Presented at the webinar, June 26, 2019
Materialized views are a killer feature of ClickHouse that can speed up queries 20X or more. Our webinar will teach you how to use this potent tool starting with how to create materialized views and load data. We'll then walk through cookbook examples to solve practical problems like deriving aggregates that outlive base data, answering last point queries, and using AggregateFunctions to handle problems like counting unique values, which is a special ClickHouse feature. There will be time for Q&A at the end. At that point you'll be a wizard of ClickHouse materialized views and able to cast spells of your own.
ClickHouse Query Performance Tips and Tricks, by Robert Hodges, Altinity CEOAltinity Ltd
1. ClickHouse uses a MergeTree storage engine that stores data in compressed columnar format and partitions data into parts for efficient querying.
2. Query performance can be optimized by increasing threads, reducing data reads through filtering, restructuring queries, and changing the data layout such as partitioning strategy and primary key ordering.
3. Significant performance gains are possible by optimizing the data layout, such as keeping an optimal number of partitions, using encodings to reduce data size, and skip indexes to avoid unnecessary I/O. Proper indexes and encodings can greatly accelerate queries.
ClickHouse Materialized Views: The Magic ContinuesAltinity Ltd
Slides for the webinar, presented on February 26, 2020
By Robert Hodges, Altinity CEO
Materialized views are the killer feature of ClickHouse, and the Altinity 2019 webinar on how they work was very popular. Join this updated webinar to learn how to use materialized views to speed up queries hundreds of times. We'll cover basic design, last point queries, using TTLs to drop source data, counting unique values, and other useful tricks. Finally, we'll cover recent improvements that make materialized views more useful than ever.
High Performance, High Reliability Data Loading on ClickHouseAltinity Ltd
This document provides a summary of best practices for high reliability data loading in ClickHouse. It discusses ClickHouse's ingestion pipeline and strategies for improving performance and reliability of inserts. Some key points include using larger block sizes for inserts, avoiding overly frequent or compressed inserts, optimizing partitioning and sharding, and techniques like buffer tables and compact parts. The document also covers ways to make inserts atomic and handle deduplication of records through block-level and logical approaches.
Migration to ClickHouse. Practical guide, by Alexander ZaitsevAltinity Ltd
This document provides a summary of migrating to ClickHouse for analytics use cases. It discusses the author's background and company's requirements, including ingesting 10 billion events per day and retaining data for 3 months. It evaluates ClickHouse limitations and provides recommendations on schema design, data ingestion, sharding, and SQL. Example queries demonstrate ClickHouse performance on large datasets. The document outlines the company's migration timeline and challenges addressed. It concludes with potential future integrations between ClickHouse and MySQL.
Real-time Data Ingestion from Kafka to ClickHouse with Deterministic Re-tries...HostedbyConfluent
In a real-time data ingestion pipeline for analytical processing, efficient and fast data loading to a columnar database such as ClickHouse favors large blocks over individual rows. Therefore, applications often rely on some buffering mechanism such as Kafka to store data temporarily, and having a message processing engine to aggregate Kafka messages into large blocks which then get loaded to the backend database. Due to various failures in this pipeline, a naive block aggregator that forms blocks without additional measures, would cause data duplication or data loss. We have developed a solution to avoid these issues, thereby achieving exactly-once delivery from Kafka to ClickHouse. Our solution utilizes Kafka’s metadata to keep track of blocks that we intend to send to ClickHouse, and later uses this metadata information to deterministically re-produce ClickHouse blocks for re-tries in case of failures. The identical blocks are guaranteed to be deduplicated by ClickHouse. We have also developed a run-time verification tool that monitors Kafka’s internal metadata topic, and raises alerts when the required invariants for exactly-once delivery are violated. Our solution has been developed and deployed to the production clusters that span multiple datacenters at eBay.
Introduction to the Mysteries of ClickHouse Replication, By Robert Hodges and...Altinity Ltd
Presented at the webinar, July 31, 2019
Built-in replication is a powerful ClickHouse feature that helps scale data warehouse performance as well as ensure high availability. This webinar will introduce how replication works internally, explain configuration of clusters with replicas, and show you how to set up and manage ZooKeeper, which is necessary for replication to function. We'll finish off by showing useful replication tricks, such as utilizing replication to migrate data between hosts. Join us to become an expert in this important subject!
Webinar slides: MORE secrets of ClickHouse Query Performance. By Robert Hodge...Altinity Ltd
The document provides an overview of ClickHouse and techniques for optimizing performance. It discusses how the ClickHouse query log can help understand query execution and bottlenecks. Methods covered for improving performance include adding indexes, optimizing data layout through partitioning and ordering, using encodings to reduce data size, and materialized views. Storage optimizations like multi-disk volumes and tiered storage are also introduced.
ClickHouse Mark Cache, by Mik Kocikowski, CloudflareAltinity Ltd
The document summarizes how ClickHouse stores and retrieves data from MergeTree tables. It discusses how data is stored in parts organized by primary key, with each column's data and marks stored in separate files. It describes how the primary index and mark cache are used to efficiently find and read data, and how mark cache performance impacts SELECT queries. It provides examples of calculating mark sizes and dropping the mark cache.
Better than you think: Handling JSON data in ClickHouseAltinity Ltd
Robert Hodges shows how ClickHouse, a relational database with tables, can offer high-performance analysis of JSON data. This talk provides a cookbook of schema design, indexing, data loading, and query tricks we gave learned over years of helping users build analytical apps for servicds logs, observability data, financial transactions, and other types of semi-structured data. Robert Hodges is CEO of Altinity and a certified database geek.
https://altinity.com
https://www.meetup.com/San-Francisco-Bay-Area-ClickHouse-Meetup
ClickHouse Unleashed 2020: Our Favorite New Features for Your Analytical Appl...Altinity Ltd
Robert Hodges is the Altinity CEO with over 30 years of experience in DBMS, virtualization, and security. ClickHouse is the 20th DBMS he has worked with. Alexander Zaitsev is the Altinity CTO and founder with decades of experience designing and operating petabyte-scale analytic systems. Vitaliy Zakaznikov is the QA Architect with over 13 years of testing hardware and software and is the author of the TestFlows open source testing tool.
Materialize: a platform for changing dataAltinity Ltd
Frank McSherry, Chief Scientist from Materialize, joins the SF Bay Area ClickHouse meetup to introduce Materialize, which creates real-time materialized views on event streams. Materialize is in the same space, solving similar problems to ClickHouse. It's fun to hear what the neighbors are up to.
Materialize: https://materialize.com
Meetup: https://www.meetup.com/San-Francisco-Bay-Area-ClickHouse-Meetup/events/282872933/
Altinity: https://altinity.com
Altinity Quickstart for ClickHouse-2202-09-15.pdfAltinity Ltd
Welcome to a live session of our popular introduction to ClickHouse application development. The talk explains what ClickHouse is and how to install it. We then work through the basics of inserting and selecting data, followed by tips on how to maximize the legendary performance of ClickHouse. You’ll get everything you need to get started on your own application, including some time at the end for questions.
A day in the life of a click house query webinar
Why do queries run out of memory? How can I make my queries even faster? How should I size ClickHouse nodes for best cost-efficiency? The key to these questions and many others is knowing what happens inside ClickHouse when a query runs. This webinar is a gentle introduction to ClickHouse internals, focusing on topics that will help your applications run faster and more efficiently. We’ll discuss the basic flow of query execution, dig into how ClickHouse handles aggregation and joins, and show you how ClickHouse distributes processing within a single CPU as well as across many nodes in the network. After attending this webinar you’ll understand how to open up the black box and see what the parts are doing.
Big Data and Beautiful Video: How ClickHouse enables Mux to Deliver Content a...Altinity Ltd
Slides for the webinar by Adam Brown, Mux and Robert Hodges, Altinity
Mux.com enables content providers to stream video to vast audiences while maintaining pin-point control over performance. Join us as Adam Brown, a co-founder of Mux and video expert, explains the role that ClickHouse plays in content delivery. We'll start with an overview of the Mux platform and the importance of real-time feedback. We'll then discuss key features of ClickHouse that enable it to ingest live session data and provide real-time dashboards to Mux users. Finally, we'll talk a bit about the Mux journey to ClickHouse and lessons learned along the way about how data enables content delivery networks.
Bio:
Adam Brown is a co-founder and Head of Technology and Architecture at Mux. He has worked extensively with video, including experience at Zencoder where he and other Mux co-founders pioneered cloud-based video encoding for users like Amazon and the NFL.
Robert Hodges is CEO of Altinity with experience in databases dating back to 1983. ClickHouse is the 20th DBMS he has worked on. His previous database company exited successfully to VMware.
Meistern Sie die Zukunft des digitalen Arbeitsplatzes: Nahtloses hybrides Arbeiten ermöglichen, verteilte Daten schützen, Anwender mit intelligenter Technologie begeistern. Guido Baron, CMC (DELL Technologies)
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/optimization-techniques-with-intels-openvino-to-enhance-performance-on-your-existing-hardware-a-presentation-from-intel/
Nico Galoppo, Principal Engineer (substituting for Ansley Dunn, Product Marketing Manager), and Ryan Loney, Technical Product Manager, both of Intel, present the “Optimization Techniques with Intel’s OpenVINO to Enhance Performance on Your Existing Hardware” tutorial at the May 2022 Embedded Vision Summit.
Whether you’re using TensorFlow, PyTorch or another framework, Galoppo and Loney show you optimization techniques to enhance performance on your existing hardware. With the OpenVINO Toolkit, built on the foundation of OneAPI, developers can utilize their own AI model or leverage one of the hundreds of pre-trained models available across vision and audio use cases.
In this presentation, you’ll learn how the Neural Network Compression Framework provides optimal model training templates for performance boosts while preserving accuracy, and how the Model Optimizer reduces complexity and makes model conversion faster. Other areas explored by Galoppo and Loney include auto device discovery to enable automatic load balancing and how to optimize for latency or throughput based on your workload.
The Dell OptiPlex 3020 is an affordable, reliable and secure desktop computer for workplace productivity. It features 4th generation Intel Core processors, dual monitor support, and durable chassis sizes. It provides comprehensive security features and easy manageability. Dell ProSupport provides 24/7 support to help keep systems running.
Building High Performance Apps with Altinity Stable Builds for ClickHouse | A...Altinity Ltd
Altinity Stable Builds offer a ClickHouse distribution that is ready for production use and with 3 years of maintenance. Our webinar introduces the special features of Stable Builds and describes how we build them from ClickHouse Long-Term Support (LTS) releases. We’ll show you how to find them and install them yourself, then guide you through the important topic of upgrading. We’ll also walk through how to use Altinity Stable Builds in Altinity.Cloud, our managed ClickHouse platform for high-performance analytics.
This document provides instructions for installing the Tilera Multicore Development Environment (MDE). It describes downloading the installation files, running the installer, verifying a successful installation, and an overview of the MDE directory structure and included documentation. It also provides instructions for installing the PCIe driver needed for TILExpress cards before using the MDE with hardware.
Optimizing Direct X On Multi Core Architecturespsteinb
This slide set covers best practices in designing threaded rendering in PC games. Examples of current PC titles will be used throughout the talk to highlight the various points.
This document provides setup instructions and specifications for the Dell Vostro 3671 laptop. It includes steps for setting up the computer such as connecting the keyboard, mouse, display, and power cable. It also provides the system specifications including physical dimensions, ports, memory, storage, processor and other hardware details. The document describes the system setup options in the BIOS including configurations for general, system, security, performance, power and other settings. It lists the drivers that can be downloaded and installed for optimal system performance. Contact details are provided for getting help from Dell.
This document discusses strategies for transitioning from monolithic applications to microservices. It covers topics like domain-driven design, event storming, identifying core domains, and technical and business heuristics for determining when to use microservices. It also addresses challenges that can arise with too many microservices and discusses alternative approaches like modular monoliths. The implementation section covers sociotechnical architecture approaches and building cloud-native applications.
Learn how to improve performance and quality of your game on Intel® Processor Graphics, including scaling from 1080p to 4k, with dynamic resolution rendering and checkerboard rendering (CBR).
New ThousandEyes Product Features and Release HighlightsThousandEyes
The document summarizes new features from ThousandEyes' August 2022 release. It highlights improvements to workflow automation, faster insights, and operational intelligence. New features include a Terraform provider for test and agent configuration, automatic session tests, next gen webhooks, new cloud agents, Webex Control Hub integration, continuous monitoring, WAN insights, and Meraki integration. The presentation provides overviews and screenshots of the new features.
2022 SF Summit - Improving Developer Experience with CDKCasey Lee
The document discusses the challenges faced by Gaggle's technology team in delivering projects efficiently and isolating developer work. Some of the challenges included long feedback loops due to inability to work in isolation, lack of automation in provisioning AWS accounts and deployments. The solutions proposed were to provision separate AWS accounts for each developer, use AWS CDK to define infrastructure as code and automate deployments for each application, create pipelines for continuous delivery of dependencies and services, and set up separate integration accounts with budget automation to address costs. This improved the efficiency of Gaggle's technology team.
The document describes setting up a virtual infrastructure including installing and configuring Windows Server 2012, Exchange 2013, Active Directory, and client virtual machines. Key steps included installing VMware Workstation on two physical machines, creating virtual machines for a domain controller, Windows Server, and Windows clients, installing DNS, DHCP and Active Directory on the domain controller to set up the domain, connecting the client VMs to the domain, and installing and configuring Exchange 2013 for email between VMs. The virtual infrastructure allowed hands-on experience with server technologies on one physical set of hardware.
From zero to SYSTEM on full disk encrypted windows systemNabeel Ahmed
This document discusses exploiting trust relationships and group policies to escalate privileges on a Windows system with full disk encryption. It describes exploiting MS15-122 and MS16-014 to poison the credential cache and authenticate to a rogue domain controller. Group policies can then be used to run applications with SYSTEM privileges and extract credentials or encryption keys before Windows fully loads. While Windows 10 provides some improvements, similar vulnerabilities were still present until MS16-072 was released after several months.
2012 09 MariaDB Boston Meetup - MariaDB 是 Mysql 的替代者吗YUCHENG HU
MariaDB is a community developed fork of MySQL created by many of the original MySQL developers. It aims to be a drop-in replacement for MySQL that is fully open source. Major versions include 5.1 which added new storage engines, 5.2 which focused on authentication and statistics plugins, and 5.3 which introduced dynamic columns and handler sockets. Future versions will integrate features from MySQL 5.6 such as global transaction IDs and an improved InnoDB engine. MariaDB is supported by Monty Program and SkySQL.
Database Development Replication Security Maintenance Reportnyin27
The document discusses various database administration tasks including:
1. Creating stored procedures, functions, views and indexes
2. Configuring security using roles, permissions and encryption
3. Implementing database maintenance including backups, jobs, partitioning and monitoring
4. Setting up reports and notifications
Building an Analytic Extension to MySQL with ClickHouse and Open Source.pptxAltinity Ltd
Building an Analytic Extension to MySQL with ClickHouse and Open Source
In this webinar Percona and Altinity offer suggestions and tips on how to recognize when MySQL is overburdened with analytics and can benefit from ClickHouse’s unique capabilities.
Also, they will walk you through important patterns for integrating MySQL and ClickHouse which will enable the building of powerful and cost-efficient applications that leverage the strengths of both databases.
Cloud Native ClickHouse at Scale--Using the Altinity Kubernetes Operator-2022...Altinity Ltd
Over the last few years Kubernetes has transitioned from an object of curiosity and fear to a robust platform for big data. Watch this webinar and you will learn how the Altinity Kubernetes Operator for ClickHouse enables users to run high performance analytics on ClickHouse. You will see a simple installation and teach you how to scale it into a cluster that can analyze 100s of terabytes of data. Along the way we’ll share our lessons for ClickHouse on Kubernetes in Altinity.Cloud. We built it on Kubernetes using the Altinity Operator and now run hundreds of clusters in the cloud. You can too!
Building an Analytic Extension to MySQL with ClickHouse and Open SourceAltinity Ltd
This is a joint webinar Percona - Altinity.
In this webinar we will discuss suggestions and tips on how to recognize when MySQL is overburdened with analytics and can benefit from ClickHouse’s unique capabilities.
We will then walk through important patterns for integrating MySQL and ClickHouse which will enable the building of powerful and cost-efficient applications that leverage the strengths of both databases.
Fun with ClickHouse Window Functions-2021-08-19.pdfAltinity Ltd
Fun with ClickHouse Window Functions | Altinity Webinar
Window functions have arrived in ClickHouse!
Our webinar will start with an introduction to standard window function syntax and show how it is implemented in ClickHouse. We’ll next show you problems that you can now solve easily using window functions. Finally, we’ll compare window functions to arrays, another powerful ClickHouse feature.
There will be time for questions with our SQL experts.
Join us for a complete overview of this long-awaited feature!
Speakers:
Robert Hodges, CEO @Altinity
Vitaliy Zakaznikov, QA Manager and Architect @Altinity
Cloud Native Data Warehouses - Intro to ClickHouse on Kubernetes-2021-07.pdfAltinity Ltd
Robert Hodges from Altinity, an enterprise provider of ClickHouse and developer of the ClickHouse Kubernetes operator, provides an introduction to running ClickHouse on Kubernetes. The presentation demonstrates how to deploy ClickHouse and Zookeeper on Kubernetes using the ClickHouse Kubernetes operator. It shows how to define ClickHouse installations using custom resources, access ClickHouse, and update the cluster configuration, such as changing the number of shards and replicas or ClickHouse version. The operator automatically applies configuration changes to pods.
Application Monitoring using Open Source - VictoriaMetrics & Altinity ClickHo...Altinity Ltd
Application Monitoring using Open Source - VictoriaMetrics & Altinity ClickHouse Webinar Slides
Monitoring is the key to the successful operation of any software service, but commercial solutions are complex, expensive, and slow. Let us show you how to build monitoring that is simple, cost-effective, and fast using open-source stacks easily accessible to any developer.
We’ll start with the elements of monitoring systems: data ingest, query engine, visualization, and alerting. We’ll then explain and contrast two implementation approaches. The first uses VictoriaMetrics, a fast-growing, high-performance time series database that uses PromQL for queries. The second is based on ClickHouse, a popular real-time analytics database that speaks SQL. Fast, affordable monitoring is within reach. This webinar provides designs and working code to get you there.
Presented by:
Roman Khavronenko, Co-Founder at VictoriaMetrics
Robert Hodges, CEO at Altinity
Own your ClickHouse data with Altinity.Cloud Anywhere-2023-01-17.pdfAltinity Ltd
The document discusses Altinity.Cloud Anywhere, a service that allows users to run ClickHouse databases on their own Kubernetes clusters. It provides automation of ClickHouse operations and management through the Altinity Connector. Users can prepare their own Kubernetes environment, connect it to Altinity.Cloud, and then launch and manage ClickHouse clusters on their infrastructure. Advanced topics covered include how the service works internally and how to get support from Altinity.
ClickHouse ReplacingMergeTree in Telecom AppsAltinity Ltd
Alexandr Dubovikov of QXIP explains how to use ClickHouse ReplacingMergeTree engine for an important Telecom use case: tracking state of calls from incoming call detail records aka CDRs. (https://www.meetup.com/san-francisco-bay-area-clickhouse-meetup/events/289605843/)
Building a Real-Time Analytics Application with Apache Pulsar and Apache PinotAltinity Ltd
This document provides an overview of building a real-time analytics application with Apache Pulsar and Apache Pinot. It introduces Mary Grygleski and Mark Needham, describes what real-time analytics is, and discusses the properties of real-time analytics systems. It then demonstrates how to ingest data from the Wikimedia recent changes feed into Pulsar and Pinot for real-time analytics and builds a dashboard with the data using Streamlit.
Altinity Webinar: Introduction to Altinity.Cloud-Platform for Real-Time Data.pdfAltinity Ltd
Altinity Webinar: Introduction to Altinity.Cloud-Platform for Real-Time Data - Presentation Slides
Altinity.Cloud is a fully automated cloud service for ClickHouse that is optimized for real-time analytics.
In this webinar, we’ll explain how Altinity.Cloud works, then show how to set up your first ClickHouse cluster. We’ll then tour important features like scale-up, scale-out, uptime schedules, and DBA tools to analyze your tables.
You’ll learn everything necessary to start working on real-time analytics today.
Bring your questions!
Presenters: Robert Hodges & Alexander Zaitsev
Note: This webinar will be recorded and later posted on our Webinar page (https://altinity.com/webinarspage/) or Altinity official Youtube channel (https://www.youtube.com/@Altinity).
OSA Con 2022 - What Data Engineering Can Learn from Frontend Engineering - Pe...Altinity Ltd
OSA Con 2022: What Data Engineering Can Learn from Frontend Engineering
Pete Hunt - Elementl
Frontend engineering went through a revolution in the last decade. I'll recap what happened, and how a similar revolution started in data engineering.
OSA Con 2022 - Welcome to OSA CON Version 2022 - Robert Hodges - Altinity.pdfAltinity Ltd
OSA Con 2022: Welcome to OSA CON Version 2022
Robert Hodges - Altinity
Join us as we guide you through the conference and highlight the many presenters who are contributing talks.
We'll also include a few tips about how to use the conference platform.
OSA Con 2022 - Using ClickHouse Database to Power Analytics and Customer Enga...Altinity Ltd
OSA Con 2022: Using ClickHouse Database to Power Analytics and Customer Engagement Platform
Prafulla Gupta - Times Internet
This talk covers how we empowered Product Managers and Editors at Times Internet by developing an in-house product, GrowthRx, using Clickhouse Open Source Database to track and analyze user behavior to increase user retention and customer engagement. Times Internet is India's largest digital news publisher, which manages leading brands like Times of India, Economic Times, Navbharat Times, etc, where we are tracking more than 10 billion events per month in the ClickHouse Database.
OSA Con 2022 - Tips and Tricks to Keep Your Queries under 100ms with ClickHou...Altinity Ltd
- ClickHouse can query 170 billion rows at 500 queries per second with a 99th percentile latency of 110ms through careful data modeling, query optimization, and use of materialized views.
- To achieve low latency at high query rates, it is important to reduce the amount of data scanned by queries through techniques like sorting keys, data compression, and reducing data cardinality.
- Materialized views can reduce data sizes by 1000-10,000x and are critical for maintaining low query latencies on large datasets. Dividing data into read and write replicas also improves query performance.
OSA Con 2022 - The Open Source Analytic Universe, Version 2022 - Robert Hodge...Altinity Ltd
OSA Con 2022: The Open Source Analytic Universe, Version 2022
Robert Hodges - Altinity
Every generation builds new cathedrals. For many of us, this means implementing analytic applications built on a foundation of open source.
We'll survey developments in analytics since the last OSA Con and highlight new technologies that developers should be watching as we head into the mid-2020s.
OSA Con 2022 - Switching Jaeger Distributed Tracing to ClickHouse to Enable A...Altinity Ltd
The document discusses how OpsVerse migrated their Jaeger distributed tracing storage from Cassandra to ClickHouse for improved performance monitoring. Jaeger is an open source distributed tracing system that was originally designed to use Elasticsearch or Cassandra for storage. While Cassandra worked well for basic functionality, it lacked capabilities for advanced analytics. ClickHouse supports richer query functions and better handles large datasets. The document outlines the steps OpsVerse took to implement the ClickHouse storage plugin for Jaeger and deploy ClickHouse on Kubernetes using the ClickHouse Operator. This migration enabled more insightful performance monitoring and analytics.
OSA Con 2022 - Streaming Data Made Easy - Tim Spann & David Kjerrumgaard - St...Altinity Ltd
OSA Con 2022: Streaming Data Made Easy
Tim Spann & David Kjerrumgaard - StreamNative
Click into new streaming applications the easy way with Apache Pulsar, Clickhouse, and Open Source. A quick introduction to how to build modern data streaming applications.
OSA Con 2022 - State of Open Source Databases - Peter Zaitsev - Percona.pdfAltinity Ltd
OSA Con 2022 - State of Open Source Databases
Peter Zaitsev - Percona
It has been an exciting year in the open-source database industry, with more choices, more cloud, and key changes in the industry. We will dive into the key developments over 2022, including the most important open-source database software releases in general, the significance of cloud-native solutions in a multi-vendor multi-cloud world, the new criticality of security challenges, and the evolution of the open-source software industry.
OSA Con 2022 - Specifics of data analysis in Time Series Databases - Roman Kh...Altinity Ltd
OSA Con 2022: Specifics of data analysis in Time Series Databases
Roman Khavronenko - VictoriaMetrics
Time series data is special. Not only its nature but also the ways that we store and interact with it.
In this talk, we'll cover the differences between storing time series data in classic relational databases
and a new generation of time series databases like VictoriaMetrics and Prometheus.
OSA Con 2022 - Signal Correlation, the Ho11y Grail - Michael Hausenblas - AWS...Altinity Ltd
OSA Con 2022: Signal Correlation, the Ho11y Grail
Michael Hausenblas - AWS.pdf
Michael shows how the signal correlation in observability use cases helps you to spot issues faster, optimize code, or make you more productive in delivering features.
Mieke Jans is a Manager at Deloitte Analytics Belgium. She learned about process mining from her PhD supervisor while she was collaborating with a large SAP-using company for her dissertation.
Mieke extended her research topic to investigate the data availability of process mining data in SAP and the new analysis possibilities that emerge from it. It took her 8-9 months to find the right data and prepare it for her process mining analysis. She needed insights from both process owners and IT experts. For example, one person knew exactly how the procurement process took place at the front end of SAP, and another person helped her with the structure of the SAP-tables. She then combined the knowledge of these different persons.
How iCode cybertech Helped Me Recover My Lost Fundsireneschmid345
I was devastated when I realized that I had fallen victim to an online fraud, losing a significant amount of money in the process. After countless hours of searching for a solution, I came across iCode cybertech. From the moment I reached out to their team, I felt a sense of hope that I can recommend iCode Cybertech enough for anyone who has faced similar challenges. Their commitment to helping clients and their exceptional service truly set them apart. Thank you, iCode cybertech, for turning my situation around!
[email protected]
Just-in-time: Repetitive production system in which processing and movement of materials and goods occur just as they are needed, usually in small batches
JIT is characteristic of lean production systems
JIT operates with very little “fat”