Sprint or Marathon? Going the distance with data center maintenance

Navigating the course of data center management comes with a multitude of obstacles. Most IT professionals must balance maximizing uptime, improving security, optimizing operations and meeting budget realities. In the case of data center maintenance, what is the best route to take after initial warranty support expires? Uptime a
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Spotlight

Téléchargez ce nouveau rapport de Frost & Sullivan et découvrez les étapes clés pour moderniser la protection de vos données.

OTHER ON-DEMAND WEBINARS

Simplifying Analytics with Natural Language

Tableau

What if you could directly ask questions of your data? Ask Data, Tableau’s new natural language capability, allows people to get insights by simply conversing with their data. In this latest Data Science Central webinar, members of Tableau’s Ask Data team will demonstrate how they are lowering the barrier to analytics and leveraging Natural Language Processing (NLP) as a tool for visual analysis. Looking to quickly make smarter, data-informed decisions and empower others to do the same? Watch this detailed overview of Ask Data’s capabilities to learn more.
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Planning for a Scalable Enterprise Data Lake

tdwi.org

In this webinar we will discuss a more modern view of the data lake and consider best practices for planning and implementing a scalable enterprise data lake. The flaws in early data lakes were often rooted in the expectations of data consumers who put a premium on self-service data analytics. However, with no data governance mechanisms, data lakes quickly became more of a glorified “dumping ground,” “data swamp,” or “beta lake” for organizational data.In recent years, though, some innovations have allowed the data lake to evolve into an agile yet managed environment for accumulating shared data resources that can be optimally used for competitive advantage. Data lakes have evolved beyond the original on-premises concept based solely on Hadoop and now include pretty much any distributed computing platform (Hadoop, Spark, EMR, serverless, etc.) and any storage mechanism (HDFS, S3, ADLS), either on-premises or in the cloud.
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Faster AI Deployment on Hadoop and Spark with RapidMiner and Microsoft Azure HDInsight

rapidminer.com

Rapid Miner and Azure HDInsight work together to deliver a complete data science and machine learning platform for massive amounts of data using popular open source frameworks such as Hadoop, Hive, MapReduce, and Spark.Hear from RapidMiner Product Manager, Jesus Puente and Cloud Software Engineer Beth Zeranski, Cloud at Microsoft for this 60-minute webinar where they will discuss.
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Why is a Central Analytics Team Vital to a Self-Service Data Culture?

When your teams are building products for competitive markets and demanding customers, the right insights can make all the difference. Join us for this month’s Coffee Chat webinar to learn how you help your whole organization make better decisions, take faster action—and deliver the kind of experiences that drive revenue, loyalty, and lifetime value.
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