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Demystifying Modern Data Platforms

Cloudera

The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. The third element in the process is the connection between the data products and the collection of analytics applications to provide business results.

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The Evolution of Table Formats

Monte Carlo

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

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Rockset Is Up to 9.4x Faster than Apache Druid on the Star Schema Benchmark

Rockset

Rockset released new numbers for the Star Schema Benchmark in April 2022. Real-time analytics is all about deriving insights and taking actions as soon as data is produced. When broken down into its core requirements, real-time analytics means two things: access to fresh data and fast responses to queries. Rockset was 9.4x

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Unleash the Power of Addresses with Precisely’s Pre-built Geocode API for Snowflake

Precisely

This capability opens the door to a wide array of data analytics applications. The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade. You need access to high-quality, accurate, and complete data. Cloud analytics has grown very rapidly, for many of the reasons cited above.

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Turning Streams Into Data Products

Cloudera

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. Moving beyond traditional data-at-rest analytics: next generation stream processing with Apache Flink.

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Recap of Hadoop News for February 2017

ProjectPro

Two Tech giants, Hortonworks and IBM have partnered to enable IBM clients run hadoop analytics directly on IBM storage without requiring a separate analytic storage.IBM’s enterprise storage will be paired with Hortonworks analytics application so that clients can opt for either centralized or distributed deployments.

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

Even Fortune 500 businesses (Facebook, Google, and Amazon) that have created their own high-performance database systems also typically use SQL to query data and conduct analytics. According to the 2022 developer survey by Stack Overflow , Python is surpassed by SQL in popularity. data engineer, data scientist , data analyst, etc.)