A Picture Can Replace A Thousand Words

Feb 22, 20161 like333 views

We all have business user requirements that drive our data warehouse and business intelligence system implementation. Delivered in various formats, these documents, emails, chats, or meeting minutes can be interpreted many different ways, depending on the reader. An effective approach to end the miscommunication...draw a picture. When properly constructed, an architecture diagram, data model, or process model will have only a single meaning. That is why a picture can replace a thousand words. Presented as a TED style talk at Rittman Mead BI Forum 2014.

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A Picture Can Replace A
Thousand Words
Michael Rainey
Principal Consultant
Rittman Mead

www.rittmanmead.com inquiries@rittmanmead.com @rittmanmead www.facebook.com/rittmanmead
Requirements come from everywhere!

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Our Job? Translate - Consolidate - Design - Build!

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But it’s not that easy...
•Business terminology
‣Synonyms - “Network ID” and “User ID”
‣Unqualified - “Add the account to the ledger table.” Which account?
‣Similar, but different meanings - “Employee ID” and “Employee Number”
‣Lack of data dictionary
•Misuse of terminology / miscommunication
‣“Can you please ETL some reports for us?”
•Misinterpreted, incorrect, or missing requirements
‣Too much guesswork during design / build phase

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Simplify the process...draw a picture!

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Simplify the process...draw a picture!
File Server
Target Server
Oracle BI Apps
Target Server
Source Server
Source DB
Extract Pump Replicat
Target
(Operational
Data Store)
Target
(Source
Dependent
Schema)
Target
(Staging)
Target
(Foundation)
Extract Pump Replicat
Replicat
Replicat
Pump
Pump
Stage Star
ETL ETL
Source Server
(Disaster Recovery)
Source DB
Data Guard
Target
(ADW)
Replicat
Pump
Trail Trail
File server is shared
storage with Disaster
Recovery source.
GoldenGate
Manager
GoldenGate
Manager
GoldenGate
Manager
GoldenGate
Manager
Star
ETL
GoldenGate
Manager
GoldenGate
Manager

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Why do pictures, models, diagrams work?
•Standardization
‣Identify shapes and their meanings
‣e.g. Business Process Model and Notation (BPMN)
!
•Pictures are less likely to be incorrectly interpreted
!
•Relationships and flow of activities are much easier to recognize
!
•Allows engagement with the business users

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Where else are visuals preferred?

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Draw the business process

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Here’s how it works...
Determine
proﬁtability of
current clients
Is client
proﬁtable?
Start
Proﬁtability of Clients

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But wait...how does this apply to me?
Determine
proﬁtability of
current clients
Is client
proﬁtable?
Start
Propose rate
increase to
client
Client
determines if
rate increase
acceptable
No
Rate
increase
accepted?
Drop clientNo End
End
Schedule visit
with client
Yes
Yes
...
Proﬁtability of Clients
Salesperson Client
Sales Mgr
Salesperson
Salesperson

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Conclusion
Draw A Picture

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Going "serverless" is the latest technology trend for enterprises moving their processing to the cloud, including data integration and ETL tools. But what does that mean and when should I use serverless ETL? In this session, we'll dive into the world of Amazon's fully managed data processing service called AWS Glue. With no server to provision or resources to allocate, and an easy to populate metadata catalog, AWS Glue allows the data engineer to focus on his or her craft; building data transformations and pipelines. Gaining an understanding of the similarities and differences between traditional ETL tools, such as Oracle Data Integrator, and Glue will prepare attendees for the new world of data integration. Presented at Collaborate 18.

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As a data integration professional, it’s almost a guarantee that you’ve heard of real-time stream processing of Big Data. The usual players in the open source world are Apache Kafka, used to move data in real-time, and Spark Streaming, built for in-flight transformations. But what about relational data? Quite often we forget that products incubated in the Apache Foundation can also serve a purpose for “standard” relational databases as well. But how? Well, let’s introduce Oracle GoldenGate and Oracle Data Integrator for Big Data. GoldenGate can extract relational data in real time and produce Kafka messages, ensuring relational data is a part of the enterprise data bus. These messages can then be ingested via ODI through a Spark Streaming process, integrating with additional data sources, such as other relational tables, flat files, etc, as needed. Finally, the output can be sent to multiple locations: on through to a data warehouse for analytical reporting, back to Kafka for additional targets to consume, or any number of targets. Attendees will walk away with a framework on which they can build their data streaming projects, combining relational data with big data and using a common, structured approach via the Oracle Data Integration product stack. Presented at BIWA Summit 2017.

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We produce quite a lot of data! Much of the data are business transactions stored in a relational database. More frequently, the data are non-structured, high volume and rapidly changing datasets known in the industry as Big Data. The challenge for data integration professionals is to combine and transform the data into useful information. Not just that, but it must also be done in near real-time and using a target system such as Hadoop. The topic of this session, real-time data streaming, provides a great solution for this challenging task. By integrating GoldenGate, Oracle’s premier data replication technology, and Apache Kafka, the latest open-source streaming and messaging system, we can implement a fast, durable, and scalable solution. Presented at Oracle OpenWorld 2016

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Oracle GoldenGate and Apache Kafka A Deep Dive Into Real-Time Data StreamingMichael Rainey

This document provides an overview and summary of a presentation on integrating Oracle GoldenGate and Apache Kafka for real-time data streaming. It introduces the speaker, describes Rittman Mead as a specialist in Oracle data integration and analytics, and outlines the challenges of integrating new data sources. The bulk of the document then dives into a step-by-step example of using GoldenGate to replicate transactional data from an Oracle database to Kafka in real-time via Kafka's publish-subscribe capabilities.

Oracle GoldenGate and Apache Kafka A Deep Dive Into Real-Time Data StreamingMichael Rainey

We produce quite a lot of data. Some of this data comes in the form of business transactions and is stored in a relational database. This relational data is often combined with other non-structured, high volume and rapidly changing datasets known in the industry as Big Data. The challenge for us as data integration professionals is to then combine this data and transform it into something useful. Not just that, but we must also do it in near real-time and using a big data target system such as Hadoop. The topic of this session, real-time data streaming, provides us a great solution for that challenging task. By combining GoldenGate, Oracle’s premier data replication technology, and Apache Kafka, the latest open-source streaming and messaging system for big data, we can implement a fast, durable, and scalable solution. This session will walk through the implementation of GoldenGate and Kafka. Presented at Collaborate16 in Las Vegas.

A Walk Through the Kimball ETL Subsystems with Oracle Data Integration - Coll...Michael Rainey

Big Data integration is an excellent feature in the Oracle Data Integration product suite (Oracle Data Integrator, GoldenGate, & Enterprise Data Quality). But not all analytics require big data technologies, such as labor cost, revenue, or expense reporting. Ralph Kimball, an original architect of the dimensional model in data warehousing, spent much of his career working to build an enterprise data warehouse methodology that can meet these reporting needs. His book, "The Data Warehouse ETL Toolkit", is a guide for many ETL developers. This session will walk you through his ETL Subsystem categories; Extracting, Cleaning & Conforming, Delivering, and Managing, describing how the Oracle Data Integration products are perfectly suited for the Kimball approach. Presented at Collaborate16 in Las Vegas.

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- The document discusses upgrading Oracle GoldenGate 11g and Oracle Data Integrator 11g to their 12c versions. It provides an overview of the steps to upgrade each product including preparing the source and target systems, installing 12c, updating supplemental logging, and finalizing the upgrade by altering processes to write a new sequence number. It also discusses using the convprm tool to convert GoldenGate parameter files during the upgrade process.

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Oracle GoldenGate 12c is well known for its highly performant data replication between relational databases. With the GoldenGate Adaptors, the tool can now apply the source transactions to a Big Data target, such as HDFS. In this session, we'll explore the different options for utilizing Oracle GoldenGate 12c to perform real-time data replication from a relational source database into HDFS. The GoldenGate Adaptors will be used to load movie data from the source to HDFS for use by Hive. Next, we'll take the demo a step further and publish the source transactions to a Flume agent, allowing Flume to handle the final load into the targets. Presented at the Oracle Technology Network Virtual Technology Summit February/March 2015.

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Real-time Data Warehouse Upgrade – Success StoriesMichael Rainey

Providing a real-time BI solution for its global customers and operations department is a necessity for IFPI, the International Federation of the Phonographic Industry, whose primary objective is to safeguard the rights of record producers through various anti-piracy strategies. For the data warehousing team at IFPI, using Oracle Streams and Oracle Warehouse Builder (OWB) for real-time data replication and integration was becoming a challenge. The solution was difficult to maintain and overall throughput was degrading as data volumes increased. The need for greater stability and performance led IFPI to implement Oracle GoldenGate and Oracle Data Integrator. Co-presented with Nick Hurt at Rittman Mead BI Forum 2014 and KScope14.

GoldenGate and Oracle Data Integrator - A Perfect Match...Michael Rainey

Oracle Data Integrator and Oracle GoldenGate excel as standalone products, but paired together they are the perfect match for real-time data warehousing. Following Oracle’s Next Generation Reference Data Warehouse Architecture, this discussion will provide best practices on how to configure, implement, and process data in real-time using ODI and GoldenGate. Attendees will see common real-time challenges solved, including parent-child relationships within micro-batch ETL. Presented at Rittman Mead BI Forum 2013 Masterclass.

GoldenGate and ODI - A Perfect Match for Real-Time Data WarehousingMichael Rainey

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Oracle data integrator 12c - getting startedMichael Rainey

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Oracle GoldenGate and Apache Kafka A Deep Dive Into Real-Time Data StreamingMichael Rainey

A Walk Through the Kimball ETL Subsystems with Oracle Data Integration - Coll...Michael Rainey

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Real-time Data Warehouse Upgrade – Success StoriesMichael Rainey

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