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Mitigate Risks and Protect Sensitive Procurement Data

The Data Administration Newsletter

Procurement is an essential function within any organization, involving the acquisition of goods and services necessary for business operations. However, with the rise of digitalization and technology, procurement processes have become increasingly vulnerable to cyber threats.

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Top 7 Data Management Challenges for Tech Firms and Solutions

Astera

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Let’s explore the 7 data management challenges that tech companies face and how to overcome them.

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Top 7 Data Management Challenges for Tech Firms and Solutions

Astera

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Let’s explore the 7 data management challenges that tech companies face and how to overcome them.

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Top 7 Data Management Challenges for Tech Firms and Solutions

Astera

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Let’s explore the 7 data management challenges that tech companies face and how to overcome them.

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What Is Data Management and Why Is It Important?

Astera

Breaking down data silos and building a single source of truth (SSOT) are some prerequisites that organizations must do right to ensure data accuracy. Big Data Management Growing data volumes compel organizations to invest in scalable data management solutions.

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Cloud Data Warehouse: A Comprehensive Guide

Astera

Cloud Data Warehouse: Microsoft Azure Synapse Analytics Microsoft Azure Synapse Analytics combines big data analytics with enterprise data warehousing to accelerate time to insight. Specifically, it uses SQL for data warehousing, Spark technologies to handle big data, and Pipelines for data integration via ETL and ELT.