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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

This is the third post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! There’s no time to buffer data for leisurely ingestion.

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

This article suggests the top eight data engineer books ranging from beginner-friendly manuals to in-depth technical references. What is Data Engineering? It refers to a series of operations to convert raw data into a format suitable for analysis, reporting, and machine learning which you can learn from data engineer books.

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5 Apache Spark Best Practices

Data Science Blog: Data Engineering

Apache Spark is an open-source distributed system for big data workforces. For fast analytic queries against another size of data, it uses in-memory caching and optimised query execution. It is a parallel processing framework for grouped computers to operate large-scale data analytics applications.

Hadoop 52
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SQL and Complex Queries Are Needed for Real-Time Analytics

Rockset

This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them!

SQL 52
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Data Mesh Architecture: Revolutionizing Event Streaming with Striim

Striim

The Data Mesh architecture is based on four core principles: scalability, resilience, elasticity, and autonomy. Data mesh technology also employs event-driven architectures and APIs to facilitate the exchange of data between different systems. What are the four principles of a Data Mesh, and what problems do they solve?

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The Role of Database Applications in Modern Business Environments

Knowledge Hut

Database applications also help in data-driven decision-making by providing data analysis and reporting tools. In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications?

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

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. They must load the raw data into a data warehouse for this analysis.