The demand for job skills related to data processing — NoSQL, Apache Hadoop, Python, and a smattering of other such skills — has hit all-time highs, according to statistics collected by tech job site ...
Skills in Python, SQL, Hadoop, and Spark help with collecting, managing, and analyzing large volumes of data. Using visualization tool ...
It’s been a big year for Apache Hadoop, the open source project that helps you split your workload among a rack of computers. The buzzword is now well known to your boss but still just a vague and ...
Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...
It's hard to believe, but it's true. The Apache Hadoop project, the open source implementation of Google's File System (GFS) and MapReduce execution engine, turned 10 this week. The technology, ...
Earlier this week we got to speak with Sanjay Mehta, VP of Product Marketing, and Clint Sharp, Senior Product Manager, Big Data; concerning the (beta) launch of a new product, “Hunk”, making exploring ...
The advent of scalable analytics in the form of Hadoop and Spark seems to be moving to the end of the Technology Hype Cycle. A reasonable estimate would put the technology on the “slope of ...
DARPA (the U.S. Defense Advanced Research Projects Agency) has awarded $3 million to software provider Continuum Analytics to help fund the development of Python’s data processing and visualization ...
It's about time: More than 10 years after we first heard the term, "big data" has become productive. The world’s largest enterprises — Apple, Wal-Mart and countless others — run large-scale data ...
In a new survey conducted by Syncsort, 250 prominent respondents including data architects, IT managers, developers, business intelligence/data analysts, and data scientists weigh in on big data ...
Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...