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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! Databases could just buffer, ingest and query data on a regular schedule.

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Why Real-Time Analytics Requires Both the Flexibility of NoSQL and Strict Schemas of SQL Systems

Rockset

This is the fifth post in a series by Rockset's CTO and Co-founder 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! Fixing and rerunning the queries is a time-wasting hassle.

NoSQL 52
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5 Apache Spark Best Practices

Data Science Blog: Data Engineering

Introduction Spark’s aim is to create a new framework that was optimized for quick iterative processing, such as machine learning and interactive data analysis while retaining Hadoop MapReduce’s scalability and fault-tolerant. Apache Spark is an open-source distributed system for big data workforces.

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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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. Almost all major tech organizations use SQL. Data transformation is another crucial task for data engineers.

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Why Mutability Is Essential for Real-Time Data Analytics

Rockset

This is the first 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! Immutable data stores have been useful in certain analytics scenarios.

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. Data engineers are experts who specialize in the design and execution of data systems and infrastructure. Who are Data Engineers?