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Upgrade Journey: The Path from CDH to CDP Private Cloud

Cloudera

The customer also wanted to utilize the new features in CDP PvC Base like Apache Ranger for dynamic policies, Apache Atlas for lineage, comprehensive Kafka streaming services and Hive 3 features that are not available in legacy CDH versions. ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements.

Cloud 130
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A Reference Architecture for the Cloudera Private Cloud Base Data Platform

Cloudera

This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure. Introduction and Rationale. Further information and documentation [link] .

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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

Cloudera has been providing enterprise support for Apache NiFi since 2015, helping hundreds of organizations take control of their data movement pipelines on premises and in the public cloud. Now, we shift focus on the needs of developers and addressing the challenges they face when building dataflows in the cloud.

Testing 95
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Using Graph Processing for Kafka Stream Visualizations

Confluent

We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Looking at your data as a graph pays off tremendously when the connections between individual data items are as valuable as the items themselves. The approach we’ll use works with any Kafka run though.

Social 55
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Delta: A Data Synchronization and Enrichment Platform

Netflix Tech

Another issue exists for the capture of schema changes, where some systems, like MySQL, don’t support transactional schema changes [1][2]. Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3]. Now the challenge becomes how to keep these datastores in sync.

Data 77
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9 Free Tools to Automate Your Incident Response Process

Altexsoft

Retrospective and improvement. It works via a monitoring and response agent connected to a server that gathers intelligence and performs analyses. This data can provide valuable insights into customer needs and assist in creating innovative products. In this article, you’ll learn what incident response is. Identification and analysis.

Tools 109
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Kafka Connect and Elasticsearch vs. PostgreSQL Pipelines: Initial Performance Results (Pipeline Series Part 8)

Instaclustr

In Part 6 and Part 7 of the pipeline series we took a different path in the pipe/tunnel and explored PostgreSQL and Apache Superset, mainly from a functional perspective—how can you get JSON data into PostgreSQL from Kafka Connect , and what does it look like in Superset. But how big is big enough?