focusvision
We all strive for great data and insights to feed into decisions that propel business’ forward. In today’s fast-spinning world we need to do that ever more quickly and cost-effectively. But when moving quickly, the research participant and their needs can be forgotten, and this can have negative consequences for data quality.
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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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Kozminski
Are you interested in extracting and analyzing financial data? Do you want to be familiar with the concept of big data? Kozminski University has just launched an extraordinary program in big data analysis for you. The Director of the program has a great pleasure to invite you to participate in a webinar aimed at introducing the program and answering the questions regarding the content of the program.
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Join us for a focused discussion on Data Analytics with health system data analytics leaders. We discuss the decisions, benefits and challenges organizations face when determining how to structure and manage data assets, tools and teams. We’re excited to share diverse perspectives and answer audience questions.
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