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Tackling the challenges of big data

Tackling the challenges of big data

Name: Tackling the challenges of big data

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Language: English

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MIT wants to help solve the world's biggest and most important problems such as Big Data. Tackling the Challenges of Big Data is an online course developed by the MIT Computer Science and Artificial Intelligence Laboratory in collaboration with MIT Professional Education, and edX. Course Description - Key Benefits - Who Should Participate - Course Outline. This Digital Programs course will survey state-of-the-art topics in Big Data, looking at data collection (smartphones, sensors, the Web), data storage and processing (scalable relational databases, Hadoop, Spark, etc.), extracting structured data from unstructured data, systems issues (exploiting multicore, security). Survey state-of-the-art topics in Big Data: data collection, data storage and processing, extracting structured data from unstructured data, systems issues.

I am one of the lecturers for this course. This is not a course designed to teach you programming tools, but rather a course to expose you to a broad set of. This Online X Programs course will survey state-of-the-art topics in Big Data, looking at data collection (smartphones, sensors, the Web), data storage and processing (scalable relational databases, Hadoop, Spark, etc.), extracting structured data from unstructured data, systems issues (exploiting multicore, security). Tackling the Challenges of Big Data is starting tomorrow. Registration will be open until May Join us and professionals from around the world.

Key FeaturesGet to grips with the most powerful tools in the Hadoop ecosystem, including Storm and SparkLearn everything you need to take control of Big. 15 Sep - 2 min - Uploaded by MITProfessionalEd At its essence, Big Data brings the tools of computer science: databases, algorithms, machine. Our partners at MIT Professional Education are offering two new sessions of the widely popular Tackling the Challenges of Big Data, running from November 4. So how do you go from being an automotive engineer, six sigma trained professional and end up doing a 6 week Big Data course from MIT?.

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