?The world is one Big Data problem.?-Andrew McAfee Big data might be known by several names or labels, but it?s undeniable that big data skills are turning into a big deal for IT professionals. The ?big data? wave has opened up lots of exciting opportunities for people skilled in open source big... Read more »
In context of the Hadoop developer certification from Cloudera, you have to know that this is one of the most popular certifications around the big data as well as the Hadoop community. The Hadoop exam here is coded CCD 410 and there are many pointers that can help you prepare... Read more »
From its humble beginnings in the AMPLab at U.C. Berkeley in 2009, Apache Spark has become one of the key big data distributed processing frameworks in the world. Spark can be deployed in a variety of ways, provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning, and graph processing. You?ll find it used by banks, telecommunications companies, games companies, governments, and all of the major tech giants such as Apple, Facebook, IBM, and Microsoft.
Initially open-sourced in 2012 and followed by its first stable release two years later, Apache Spark quickly became a prominent player in the big data space. Since then, its adoption by big data companies has been on the rise at an eye-catching rate.
Every day human beings eat, sleep, work, play, and produce data?lots and lots of data. According to IBM, the human race generates 2.5 quintillion (25 billion billion) bytes of data every day. That?s the equivalent of a stack of DVDs reaching to the moon and back, and encompasses everything from the texts we send and photos we upload to industrial sensor metrics and machine-to-machine communications.
First came Apache Lucene, which was, and still is, a free, full-text, downloadable search library. It can be used to analyze normal text for the purpose of developing an index. The index maps each term, ?remembering? its location. When the term is searched for, Lucene immediately knows all the places where that term had existed. This makes the search process much faster, and much more efficient, than having to seek the term out anew, each time it is searched for. It also laid the foundation for an alternative method for Big Data processing.
The current interest and growth in Big Data, Data Science, and Analytics is largely because the tools for working with Big Data have finally arrived. Hadoop is an important piece of any enterprise?s Big Data plan.
by Angela Guess Tom Phelan, Chief Architect of BlueData, recently wrote in InsideBigData, ?Over the next year, a growing number of customers will realize the vast business benefits of Big Data and will deploy Big Data solutions across their organization. Technical innovations, the rise of BDaaS, a shifting approach to data locality, platform convergence and ?
by Angela Guess Brian Taylor reports in TechRepublic, ?Apache Spark continues to attract attention in the big data world, where it?s expected to help drive the next wave of innovation. A survey on Hadoop from big data company Syncsort showed that 70% of survey participants are most interested in Spark, higher even than MapReduce, the ?