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Apache Spark Use Cases & Applications

Knowledge Hut

According to marketanalysis.com survey, the Apache Spark market worldwide will grow at a CAGR of 67% between 2019 and 2022. billion by 2022, with a cumulative market v alued at $9.2 billion (2019 - 2022). The Spark market revenue is zooming fast and may grow up $4.2 Spark is developed in Scala programming language.

Scala 52
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Real-Time Data Predictions for 2023

Rockset

Move from batch-based stacks to real-time streaming data stacks Pairing an event streaming platform like Confluent Kafka or Kinesis with a batch-based data warehouse limits the value of the data to the organization.

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The right words in the right place

Tweag

Table of contents Overview Motivation Statistics Retrospective Thoughts on future work Acknowledgements Overview This is a retrospective of my and many other people’s work on documentation in the Nix ecosystem between October 2022 and March 2024. Nixpkgs is the world’s largest knowledge base for getting open source software to run.

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Exploring Incident Management Strategies For Data Teams

Data Engineering Podcast

Summary Data assets and the pipelines that create them have become critical production infrastructure for companies. This adds a requirement for reliability and management of up-time similar to application infrastructure. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams.

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Unifying Messaging Experiences across LinkedIn

LinkedIn Engineering

From our legacy asynchronous email-based system to our current system, which features threaded conversations delivered in real-time, LinkedIn���s messaging platform serves as the backbone to all of its applications including Flagship, Recruiter, Sales Navigator, and LinkedIn Lite.��

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How Precision Time Protocol is being deployed at Meta

Engineering at Meta

The journey to PTP has been years long, as we’ve had to rethink how both the timekeeping hardware and software operate within our servers and data centers. The PTP rack This houses the hardware and software that serves time to clients; the rack consists of multiple critical components, each of which has been carefully selected and tested.

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Data Mesh Architecture: Concept, Main Principles, and Implementation

AltexSoft

That’s exactly what every data-driven organization has been trying to find for years,” someone would come up with a new, better solution. It took three years for her book “Data Mesh: Delivering Data-Driven Value at Scale” to finally see the world in March 2022. And whenever we started thinking, “Hey, that’s it.