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How Rockset Enables SQL-Based Rollups for Streaming Data

Rockset

Rockset: Real-time Analytics Built for the Cloud Rockset is doing for real-time analytics what Snowflake did for batch. Rockset is a real-time analytics database in the cloud that uses an indexing approach to deliver low-latency analytics at scale. You can also optionally use WHERE clauses to filter out data.

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Comparing ClickHouse vs Rockset for Event and CDC Streams

Rockset

Separation of Compute and Storage Design for the cloud is another area where Rockset and ClickHouse diverge. ClickHouse is offered as software, which can be self-managed on-premises or on cloud infrastructure. Several vendors also offer cloud versions of ClickHouse.

MySQL 52
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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. Another leading European company, Claranet, has adopted Glue to migrate their data load from their existing on-premise solution to the cloud. How Does AWS Glue Work?

AWS 98
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Data Lake vs. Data Warehouse: Differences and Similarities

U-Next

Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. For building data lakes, the following technologies provide flexible and scalable data lake storage : . Gen 2 Azure Data Lake Storage . Cloud storage provided by Google . Amazon Web Services S3 .

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

This is an end-to-end big data project for building a data engineering pipeline involving data extraction, data cleansing, data transformation, exploratory analysis , data visualization, data modeling, and data flow orchestration of event data on the cloud.

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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. Following these statistics, big data is set to get bigger with the evolution of open-source projects.