"Data is the new science. Big Data holds the answers." - Pat Gelsinger, the CEO of VMware, Inc. Organizations use their data to support and influence decisions and build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. Apache Spark is a fast and general engine for large-scale data processing ,built around speed, ease of use, and sophisticated analytics. It was originally developed at UC Berkeley in 2009.Spark is a good fit for the Hadoop open-source community as its built on top of the Hadoop Distributed File System (HDFS).
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With most employees working from home amid today’s COVID-19 outbreak, VPN and remote access to enterprise resources have drastically increased. This is a huge challenge for the IT and security departments as many security experts believe that the current VPN deployments are designed for a small percentage of employees of the organizations and not for the overwhelming number of teleworkers who now need to access them repeatedly throughout the workday.
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Following VMware Cloud Foundation, we will then explore the latest VMware vSAN concepts and functionality. Not only will we explore real-world use cases, we’ll also debunk common misconceptions and myths surrounding the technology. Learn why 50% of Fortune 2000 customers have deployed vSAN 7.0.
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What makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.
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