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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

The essential theories, procedures, and equipment for creating trustworthy and effective data systems are covered in this book. It explores subjects including data modeling, data pipelines, data integration, and data quality, offering helpful advice on organizing and implementing reliable data solutions.

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The Role of Database Applications in Modern Business Environments

Knowledge Hut

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

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Data Mesh Architecture: Revolutionizing Event Streaming with Striim

Striim

This allows for two-way integration so that information can flow from one system to another in real-time. Striim is a cloud-native Data Mesh platform that offers features such as automated data mapping, real-time data integration, streaming analytics, and more.

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

of data engineer job postings on Indeed? If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. And how is it done? By using SQL queries!

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How to Use KSQL Stream Processing and Real-Time Databases to Analyze Streaming Data in Kafka

Rockset

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka.

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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential?

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Data Hub – Streams Messaging Template. Data Hub – . Data integration, distribution, and routing engine. Glue combining multiple data engines into end-to-end flows. Data Hub – . Streaming Analytics Template. Engine providing stateful analytics computations over data streams.