Big data startup Imply, founded by the original developers of open-source Apache Druid, is offering a fully-managed cloud service and query engine to help programmers build high-performance analytical ...
Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...
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Is an analytical response within 300 milliseconds on data generated yesterday considered realtime? In today’s fast-paced digital landscape the concept of realtime data analysis has become increasingly ...
As the world of business grows more complex and instantaneous, reducing time to insight with modern data analytics is the name of the game. In fact, the number one metric for every company today ...
The EXASolution in-memory database engine is engineered from the ground up to drive the world's fastest analytics. It achieves lightning-fast performance with linear scalability by combining in-memory ...
The newest version of the Vertica Analytic Database is now commercially available worldwide. New features support new types of analytics, improve the way queries are executed in terms of better ...
Designing a data model that supports the reporting and analytical functions is no different, initially, than any other modeling effort. Understanding the data is crucial. The data architect or modeler ...
Businesses and organizations are increasingly challenged to handle the huge volumes of data, both internally generated and acquired from outside sources, that they need to process, store and analyze ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Databases have been traditionally segmented into analytical and transactional capabilities.
Analytic databases are the principal engines driving business intelligence, delivering operational data into reports, dashboards and ad-hoc queries. Analytic databases are the principal engines ...