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Top Data Science Trends in 2024

Knowledge Hut

billion by 2025. The global augmented analytics market size is projected to reach $29,856 million by 2025. from 2018 to 2025. As per a survey by IDC, over 75% of organizations will invest in reskilling programs or their workforce to bridge the rising skill gap by 2025. Its growth rate is expected to be at a CAGR of 28.4%

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7 Resources to Becoming a Data Engineer

KDnuggets

An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.

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5 Big Data Challenges in 2024

Knowledge Hut

A study has predicted that by 2025, each person will be making a bewildering 463 exabytes of information every day. The previous two years have seen significantly more noteworthy increments in the quantity of streams, posts, searches and writings, which have cumulatively produced an enormous amount of data.

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New Snowflake Deployments: Saudi Arabia and Zurich Coming Soon

Snowflake

1, 2024-Jan 31, 2025) in the Europe, Middle East, and Africa (EMEA) region, Snowflake plans to be online with two new cloud regions: AWS Zurich and GCP Dammam (Saudi Arabia). Next fiscal year (Feb.

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Data News — Week 23.37

Christophe Blefari

Be ready for a downhill in 2025 if you have picked Databricks. Soon there will be no letter in the alphabet to associate with Databricks fundraising. Since the beginning they raised $4b and are today valued at $43b. Nothing to say except than they love to burn cash. Treefera raises $2.2m

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Data News — Week 23.42

Christophe Blefari

This is about what France wants to until 2025 to drive IA adoption. In all experience and talks I have with people smaller teams obviously drives bigger impact. La stratégie nationale pour l'intelligence artificielle — In French. dbt MetricFlow, semantic layer 2.0 — An quick analyse of the new semantic layer vision.

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Gartner Market Guide to DataOps Software

DataKitchen

“By 2025, a … team guided by DataOps practices and tools will be 10 times more productive than teams that do not use DataOps.” We tell all our prospects to strive for zero errors and make deployment fast/low risk, and your team will see incredible gains in the amount of work they create. Gartner agrees: .