Remove Dashboards Remove OLAP Remove Risk
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Closing the breach window, from data to action

IBM Big Data Hub

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. QRadar Log Insights rapidly ingests, analyzes and presents data in interactive, built-in dashboards designed by cybersecurity experts.

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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Data warehouses have been in widespread use for years.

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How to Build a Performant Data Warehouse in Redshift

Sisense

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. OLAP databases excel at queries that require large table scans (e.g.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

Large, untested workloads run the risk of hogging all the resources. As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries. In some cases, the queries run out of memory and do not complete.

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Business Intelligence vs. Reporting: Finding Your Bread and Butter

Jet Global

The risk of not clearly identifying and defining these: you’ll attempt to use the wrong tools for the job. It will save you an unlimited amount of time trying to use the wrong tools for the job and mitigate the risk of getting inaccurate data into your financial statements, operational reports, or analytical dashboards.

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CCPA 2020: Getting Your Data Landscape Ready

Octopai

You can evaluate and mitigate compliance risks. As a company’s data landscape grows and evolves, more computing “horsepower” is needed to perform the ETL and OLAP cube processing required to populate data warehouses and drive reports and dashboards. Not Yet CCPA Compliant? On the Horizon: Federal Data Privacy Law.

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How to Get Data from Microsoft D365 BC into Power BI

Jet Global

Microsoft Power BI is a popular tool for designing visual dashboards that help everyone in your organization to better understand how the company is performing against key metrics. Smaller, low-risk, incremental enhancements sound great, right? Well, yes and no. You might choose to extract data daily, hourly, or even more frequently.