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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

He drew from his twenty-five years of experience in business analytics, pharmaceutical brand launch strategy, and project management. He also highlighted the importance of agility and adaptability in data analytics. It is essential to recognize the evolution of the field and the changing expectations of data consumers.

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Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents

AWS Big Data

For example, financial analysts currently have to manually read and summarize lengthy regulatory filings and earnings transcripts in order to respond to Q&A on investment strategies. Prepare the structured data in a Redshift database – Ingest the structured data into your Amazon Redshift Serverless table.

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Watch the Ninth Video in Our Snowflake Tutorial Series

CDW Research Hub

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Learn about current trends.

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Watch the Tenth Video in Our Snowflake Tutorial Series

CDW Research Hub

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Learn about current trends.

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Watch the Eleventh Video in Our Snowflake Tutorial Series

CDW Research Hub

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Learn about current trends.

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Watch the Eighth Video in Our Snowflake Tutorial Series

CDW Research Hub

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Learn about current data trends.