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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Finally, the database must be cloud native, so all scaling is automatic and hidden from developers and users. For more details, read my blog post on ALT and why it beats the Lambda architecture for real-time analytics.

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

Rockset

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. NoSQL Comes to the Rescue. And when it comes to the cloud and developers, that means wasted money.

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SQL and Complex Queries Are Needed for Real-Time Analytics

Rockset

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. That changed when NoSQL databases such as key-value and document stores came on the scene.

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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

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! If you want to see all of the key requirements of real-time analytics databases, watch my recent talk at the Hive on Designing the Next Generation of Data Systems for Real-Time Analytics , available below.

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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. If your database is cloud-based, using SQL to clean data is far more effective than scripting languages.

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Intel and Cloudera collaborate to bring improved performance to customers with Optane DC Persistent Memory

Cloudera

Cloudera customers who want more flexibility in how and where they run their applications can benefit from Intel Optane DC persistent memory as well. A key characteristic of an enterprise data cloud is its ability to run multiple workloads on shared data without encountering “noisy neighbor” problems.

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