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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. Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. NoSQL Comes to the Rescue.

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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. Moreover, analytical systems and pipelines were complementary, not mission-critical. Analytics wasn’t embedded into applications or used for day-to-day operations as it is today.

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Handling Out-of-Order Data in Real-Time Analytics Applications

Rockset

This is the second post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. The application, and not the data system, has to keep track of where all linked-but-scattered records are stored, as well as any resulting dependencies.

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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. For instance, customer personalization systems need to combine historic data sets with real-time data streams to instantly provide the most relevant product recommendations to customers.

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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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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. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. Successful data-driven companies like Uber, Facebook and Amazon rely on real-time analytics.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. RDBMS is a part of system software used to create and manage databases based on the relational model. FSCK stands for File System Check, used by HDFS. Data Processing: This is the final step in deploying a big data model.