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What Is Data Management and Why Is It Important?

Astera

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

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What is ETL? – Extract, Transform, Load Explained

Astera

ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. With reliable data, you can make strategic moves more confidently, whether it’s optimizing supply chains, tailoring marketing efforts, or enhancing customer experiences. So, the data flows in the opposite direction.

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5 Data Management Trends to Watch in 2023

Astera

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals. Download Free Whitepaper 2. Try it Now!

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Actian Datacast: Is Your Enterprise Fully Maximizing the Value of its Available Data?

Actian

As AI and machine learning become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses used for analytics. In the near future, many more enterprises will leverage data to differentiate and win with superior customer experience.

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Actian Datacast: Is Your Enterprise Fully Maximizing the Value of its Available Data?

Actian

As AI and machine learning become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses used for analytics. In the near future, many more enterprises will leverage data to differentiate and win with superior customer experience.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

Data Pine

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience. Maheshwari Lean Analytics: Use Data to Build a Better Startup Faster , by A.

Big Data 105
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What is a Data Pipeline?

Insight Software

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.