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For decades, businesses have turned to online analytical process (OLAP) tools to help extract and analyze data. In fact, OLAP has been around so long that OLAP-based solutions may seem almost dated at this point.
In reality, however, OLAP remains as relevant and valuable as ever – at least for businesses that leverage modern OLAP tools, meaning those that can integrate with scalable, cloud-centric environments and resources. When deployed as an analytics solution for cloud-based data lakes, OLAP plays a central role in helping to optimize data analytics performance, manage data quality, minimize the cost of data operations, and, ultimately, derive the most value from large-scale data sets with the least effort.
Learn how OLAP has evolved to meet the data analytics needs of the cloud age and which specific benefits OLAP delivers as a solution for data lake analytics.
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