Speed-Of-Thought Analytics: Query Billions Of Rows In Milliseconds

Speed-Of-Thought Analytics: Query Billions Of Rows In Milliseconds
In this 30 minute demo, you'll see a demo of how easy it is to connect to Yellowbrick data warehouse from MicroStrategy, query tables with billions of rows from a TPC-DS workload, and see results in milliseconds or seconds.
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OTHER ON-DEMAND WEBINARS

ON DEMAND Q2 WEBINAR PROMOTION: "TOP 5 ELEMENTS OF A WINNING DATA STRATEGY" Organizations with a very effective enterprise data strategies report more profits and better resiliency, according to a recent Enterprise Data Maturity research report. But there’s a catch: less than half of enterprise respondents believe their data str
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3 Ways Redis Enterprise Helps Customer Modernize Apps

Explore three common ways that customers use Redis Enterprise to build a bridge to modern real-time applications. Today’s applications are faster, more powerful, and routinely capable of doing things that were considered extraordinary just a few years ago. Your applications must evolve. But who wants to constantly migrate, replatform, or re-architect?
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ADVANCING CANCER TREATMENT WITH SELF-SERVICE DATA PREPARATION

Paxata

PrecisionProfile – a bioinformatics technology company – focuses on enabling oncologists and research scientists to rapidly analyze genomic profiles and create personalized treatment plans for cancer patients. Like most organizations, PrecisionProfile struggled with the most time-consuming part of every analytics exercise - combing, cleaning, and shaping data into actionable information. With self-service data preparation, they were able to design and develop a platform to accelerate data pipelines, enabling scientists to spend more time analyzing data and formulating how they can leverage it to save lives. View this webcast to learn: Empower researchers and oncologists to spend a fraction of their time restructuring data. Reduced cycle time of a genomic clinical study from 1-3 months to 2-8 hours.
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Gain Context, Insight and Value from Big Content

OpenText

The Internet of Things, social media and enterprise content all have one thing in common: they generate vast quantities of data — ever-faster. So much so that picking out relevant information and assembling it into meaningful patterns is a tall order. These new data sources also present another challenge. They generate unstructured data - such as text and emojis - that don’t fit neatly into traditional database structures. This data can however hold valuable insights on important and hard-to-quantify concepts such as social sentiment.
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