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DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. As a result, they can be slow, inefficient, and prone to errors.

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Data News — Week 24.16

Christophe Blefari

This blog shows how you can use Gen AI to evaluate inputs like translations with added reasons. How we build Slack AI to be secure and private — How Slack uses VPC and Amazon SageMaker with your data secured and private. — A great blog to answer a great question. Is SQLMesh the dbt Core 2.0 ?

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Enabling Data Mesh Principles for Organizational Agility

Snowflake

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. How, then, are modern data teams finding success with the data mesh? Still, implementing this new architecture was not without its challenges.

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A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Cloudera

Things like in-place schema evolution and ACID transactions on the data lakehouse are critical pieces for organizations as they push to achieve regulatory compliance and adhere to policies like the General Data Protection Regulation (GDPR). Learn more about the next generation of Cloudera Data Platform for Private Cloud.

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Top 8 Hadoop Projects to Work in 2024

Knowledge Hut

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Hadoop can store data and run applications on cost-effective hardware clusters. Its data architecture is flexible, relevant, and schema-free.

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When Private Cloud is the Right Fit for Public Sector Missions

Cloudera

Translation: Government agencies — especially those under the Department of Defense (DoD) — have use cases that require data storage and analytic workloads to be maintained on premises to retain absolute control of data security, privacy, and cost predictability. . It’s here where the private cloud delivers.

Cloud 84
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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Cloud 83