Remove databases-meet-stream-processing-the-future-of-sql
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Cloudera Streaming Analytics 1.4: the unification of SQL batch and streaming

Cloudera

In October of 2020 Cloudera acquired Eventador and Cloudera Streaming Analytics (CSA) 1.3.0 It was the first release to incorporate SQL Stream Builder (SSB) from the acquisition, and brought rich SQL processing to the already robust Apache Flink offering. Why batch + streaming? was released early in 2021.

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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. Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. But what about when the relationships between items dominate your application?

Social 55
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Implement a Multi-Cloud Open Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. Multi-cloud deployment with CDP public cloud.

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Book Review: Designing Data-Intensive Applications

Henrik Warne

It covers databases and distributed systems in clear language, great detail and without any fluff. I really like the mix of references – some are to computer science papers from the 1970s and onwards, and many are to various blog posts. In a document model, joins are shifted from the database to the application.

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Open Data Lakehouse powered by Iceberg for all your Data Warehouse needs

Cloudera

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. This library is integrated by execution engines such as Impala, Hive and Spark.

Data 80
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Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture

Confluent

Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach. Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

Altexsoft

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. Velocity is the speed at which the data is generated and processed. Big Data enjoys the hype around it and for a reason.