Systems | Development | Analytics | API | Testing

Opening Keynote From Snowflake Summit 2023

Aug 7, 2023 By Snowflake In Snowflake
Snowflake has been on a journey to break down silos to help organizations put their data to work. From high-performance analytics at scale to global collaboration across shared data to enabling full programmability without sacrificing governance, Snowflake continues to redefine what's possible with data... and we're just getting started.
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cloudera

HDFS Snapshot Best Practices

Aug 7, 2023 By Tsz Sze In Cloudera

The snapshots feature of the Apache Hadoop Distributed Filesystem (HDFS) enables you to capture point-in-time copies of the file system and protect your important data against corruption, user-, or application errors. This feature is available in all versions of Cloudera Data Platform (CDP), Cloudera Distribution for Hadoop (CDH) and Hortonworks Data Platform (HDP).

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Why stakeholders are key for prioritizing data workflows

Aug 7, 2023 By ThoughtSpot In ThoughtSpot
Prioritization is a difficult but vital skill for any data leader. In this segment, Alex Viana, VP of Data at Vercel discusses how he focuses on broad coverage of tasks, involving more team members to build stronger relationships, better understand workflows, and leverage stakeholder input to ensure needs are addressed effectively.
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The Snowflake Healthcare & Life Sciences Data Cloud

Aug 4, 2023 By Snowflake In Snowflake
Healthcare and life sciences organizations are under unprecedented pressure to adapt and respond to changing patient needs, regulations, and market conditions. Snowflake’s Healthcare & Life Sciences Data Cloud enables healthcare and life sciences organizations to securely leverage the full potential of data to help deliver exceptional patient and business outcomes and accelerate medical innovation, while ensuring the highest levels of data security, governance, and compliance.
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unravel

Unlocking Cost Optimization: Insights from FinOps Camp Episode #1

Aug 4, 2023 By Stephen Lamont In Unravel

With the dramatic increase in the volume, velocity, and variety of data analytics projects, understanding costs and optimizing expenditure is crucial for success. Data teams often face challenges in effectively managing costs, accurately attributing them, and finding ways to enhance cost efficiency.

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