Remove 2019 Remove Cost-Benefit Remove OLAP Remove Optimization
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RDF-Star: Metadata Complexity Simplified

Ontotext

Relational databases benefit from decades of tweaks and optimizations to deliver performance. To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP). It provides meaning.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. See also: Caroline Lemieux’s slides for that NeurIPS talk, and Rohan Bavishi’s video from the RISE Summer Retreat 2019. Software writes Software? SQL and Spark.

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Database vs. Data Warehouse: What’s the Difference?

Jet Global

In the business landscape of 2019, data is the only currency that matters. Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. Enter the Warehouse.

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What Is Embedded Analytics?

Jet Global

These benefits provide a 360-degree feedback loop. In this new era, users expect to reap the benefits of analytics in every application that they touch. Users are coming to expect sophisticated analytics at little or no cost. All benefit from the enhanced functionality and additional reporting and analytics.