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How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Smart Data Collective

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 286
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5 Considerations for Choosing the Right Data Center

Smart Data Collective

Your data center should be available to provide your company with quick and efficient support. A Service Level Agreement is typically used to govern this. The ideal data service provider should offer in-house remote support with engineers available at all hours of the day. Support and Uptime.

Big Data 292
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Avoid Data-Driven Cyber Attacks By Avoiding These 5 File Sharing Errors

Smart Data Collective

Moore points out that big data has created both new opportunities and risks for fighting cyberattacks. You need to be aware of the risks of sharing files carelessly in a world governed by big data. Big data has made file sharing more dangerous than ever, since more hackers use machine learning to dupe their targets.

Big Data 217
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Three Reasons to Take a More Holistic Approach to Data Management

Dataversity

Taking a holistic approach to data requires considering the entire data lifecycle – from gathering, integrating, and organizing data to analyzing and maintaining it. Companies must create a standard for their data that fits their business needs and processes. Click to learn more about author Olivia Hinkle.

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What Is Data Governance and Why It Matters?

Astera

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52
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Factors and Considerations Involved in Choosing a Data Management Solution!

ElegantJ BI

Data Volume, Transformation and Location Data Warehouse Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information).