Tutorial Expert How-To - Create a model for Avro schemas
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The document provides an overview of Apache Avro, highlighting its role in data serialization, schema evolution, and interoperability in various data systems. It introduces Hackolade Studio as a visual design tool for Avro schemas, which supports schema modeling and integration with schema registries. Additionally, it emphasizes the benefits of using Avro schema design, including message validation, optimization, and compatibility features.
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Viral>Wondershare Filmora 14.5.18.12900 Crack Free Download
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Wondershare Filmora Crack is a user-friendly video editing software designed for both beginners and experienced users.
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“Key Requirements to Successfully Implement Generative AI in Edge Devices—Opt...
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This presentation, "Kubernetes Security: Act Now Before It’s Too Late," is your essential guide to understanding and mitigating the critical security risks within your Kubernetes environments. This presentation dives deep into the OWASP Kubernetes Top Ten, providing actionable insights to harden your clusters.
We will cover:
The fundamental architecture of Kubernetes and why its security is paramount.
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Crucial best practices for securing your workloads and nodes, covering topics like privileged containers, root filesystem security, and the essential role of Pod Security Admission.
Don't wait for a breach. Learn how to identify, prevent, and respond to Kubernetes security threats effectively.
It's time to act now before it's too late!
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To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.
AI VIDEO MAGAZINE - June 2025 - r/aivideo
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“Key Requirements to Successfully Implement Generative AI in Edge Devices—Opt...
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“From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,...
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Tutorial Expert How-To - Create a model for Avro schemas
- 1. Hackolade Tutorial Visual design of Avro schema Copyright © 2016-2023 Hackolade 1
- 2. About Apache Avro • Open-source project • Provides • Data serialisation framework • Data exchange services • Often used with • Kafka pub-sub pipelines • Data lake storage • Row-oriented object container • as opposed to Parquet which is column-oriented • Language independent, compact and efficient Copyright © 2016-2023 Hackolade 2
- 3. Components of an Avro Schema Model • An Avro schema can be viewed as a language- agnostic contract for systems to interoperate. • 4 attributes: • Type: specifies the data type of the JSON record, whether its complex type or primitive value. At the top level of an Avro schema, it is mandatory to have a “record” type. • Name: the name of the Avro schema being defined • Namespace: a high-level logical indicator of the Avro schema • Fields: the individual data elements of the JSON object. Fields can be of primitive as well as complex type, which can be further made of simple and complex data types. Copyright © 2016-2023 Hackolade 3
- 4. About Apache Avro • Uses JSON to define schema and data types • Warning: Avro schema is quite different from JSON Schema, even if schema is defined using JSON format • Container file has header containing the schema, plus 1 or more storage blocks Copyright © 2016-2023 Hackolade 4
- 5. Avro schema evolution • Avro allows for powerful schema evolution • Can achieve backward- and forward-compatibility if done well • Super interesting for “integration” services where many producers/consumers may evolve applications using different versions of the schema • Schemas and their evolving versions can be published in a schema registry • Goal is to maximise compatibility when decoupling the lifecycle of publishers and consumers • Specific guidelines and best practices Copyright © 2016-2023 Hackolade 5
- 6. Benefits of Avro schema design in Hackolade Studio • Visual design of Avro schema • Anticipate future schema evolution • Facilitate message validation • Optimize message payload • Enable compatibility and interoperability • Integrate with Confluent Schema Registry and others • Promote schema reuse (despite limited official specification and documentation) via • Avro namespace references • Confluent Schema Registry’s • Schema references • Union schemas Copyright © 2016-2023 Hackolade 6
- 7. Hackolade Studio support for Avro schema • Graphical Avro schema design tool • Can also import existing Avro schemas • Integrates with the schema registries (Confluent Schema Registry, Azure EventHubs Schema Registry, Pulsar Schema Registry, other CSR API-compatible registries) • For forward- and reverse-engineering of the Avro schema with these registries • Hackolade also integrates with Object Storage providers (S3, ADLS, …) for data lakes • Hackolade maintains (recursive) references between elements of the Avro schema Copyright © 2016-2023 Hackolade 7
- 8. Hackolade Studio support for Avro schema • Outputs of Avro Schema modeling in Hackolade Studio: • Entity-Relationship Diagrams of multi-record/event environments • Hierarchical view of nested objects • Syntactically correct schema generation for • users without technical knowledge • developers wanting to improve quality and productivity • Documentation of schema in different formats • Conversion to/from other targets (OpenAPI, RDBMS, NoSQL) via Polyglot Data Modeling Copyright © 2016-2023 Hackolade 8
- 9. Hackolade Studio and Confluent Schema Registry • Central repository with RESTful interface • Developers publish schemas for • Versioning • Safe schema evolution • Enhanced integrity • Data discoverability • Self-hosted or SaaS • Hackolade Studio native integration • can forward/reverse engineer Avro schemas with the registry • including support for the different Subject Name Strategies • supports namespace references, schema references, and union schemas Copyright © 2016-2023 Hackolade 9
- 10. Reading material • See Hackolade Studio online documentation • The Hackolade Blog • These excellent new books: • MongoDB Data Modeling & Schema Design • Many of the principles in the book are related to query-driven modeling based on access patterns • Neo4j Data Modeling • Hackolade’s on social media: LinkedIn page, Twitter page • Download Hackolade Studio for free Copyright © 2016-2023 Hackolade 10
- 11. Questions? Answers! Copyright © 2016-2023 Hackolade 11