In 2012, the Obama administration unveiled a two hundred million dollar initiative to facilitate the growth of the Big Data industry and demonstrate its potential in large-scale markets. However, the initiative was an apparent failure. Despite government endorsement, Big Data has been unable to develop into an industry in its own right; the analysis and evaluation of billions of data points remain a trend rather than an emerging technology. Tom Kalil, Deputy Director for Policy at OSTP, released a statement on behalf of the Obama administration in which hedeclared that “to launch the initiative, six Federal departments and agencies will announce more than $200 million in new commitments that, together, promise to greatly improve the tools and techniques needed to access, organize, and glean discoveries from huge volumes of digital data”. The statement went on to say, “we also want to challenge industry, research universities, and nonprofits to join with the … [Read more...] about Big Data — useful tool or fetish?
Big data how to
Apache Eagle, originally developed at eBay, then donated to the Apache Software Foundation, fills a big data security niche that remains thinly populated, if not bare: It sniffs out possible security and performance issues with big data frameworks.To do so, Eagle uses other Apache open source components, such as Kafka, Spark, and Storm, to generate and analyze machine learning models from the behavioral data of big data clusters.Looking in from the insideData for Eagle can come from activity logs for various data source (HDFS, Hive, MapR FS, Cassandra) or from performance metrics harvested directly from frameworks like Spark. The data can then be piped by the Kafka streaming framework into a real-time detection system that's built with Apache Storm or into a model-training system built on Apache Spark. The former's for generating alerts and reports based on existing policies; the latter is for creating machine learning models to drive new policies.This emphasis on real-time … [Read more...] about Apache Eagle keeps an eye on big data usage
There’s data, and then there’s big data. So, what’s the difference?Big data definedBig data in general refers to sets of data that are so large in volume and so complex that traditional data processing software products are not capable of capturing, managing, and processing the data within a reasonable amount of time.These big data sets can include structured, unstructured, and semistructured data, each of which can be mined for insights.How much data actually constitutes “big” is open to debate, but it can typically be in multiples of petabytes—and for the largest projects in the exabytes range.Often, big data is characterized by the three Vs: an extreme volume of data a broad variety of types of data the velocity at which the data needs to be processed and analyzed The data that constitutes big data stores can come from sources that include web sites, social media, desktop and mobile apps, scientific experiments, … [Read more...] about What is big data? Real-time analytics of disparate data at web scale
Data and big data analytics are fast becoming the lifeblood of any successful business. Getting the technology right can be challenging, but building the right team with the right skills to undertake big data initiatives can be even harder. Not surprisingly, that challenge is reflected in the rising demand for big data skills and certifications. If you're looking for a way to get an edge, big data certification is a great option. Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. The number of big data certs is expanding rapidly.Below is our guide to the most sought after big data certifications to help you decide which cert is right for you.If you would like to submit a big data certification to this directory, please email us.Is big data certification worth pursuing?Organizations are on the hunt for data scientists and analysts with expertise in the techniques required to … [Read more...] about The top 19 big data and data analytics certifications for 2017
What a difference a year makes. At the end of 2013, the industry was still debating whether Hadoop and related big data technologies were going to become mainstream or were just niche technologies for Internet companies. A year later, the answer is clear — Hadoop is without question the foundation of the new data stack, the first of the Hadoop distributions (Hortonworks) is now a public company, with others sure to follow. This is putting a spotlight on the next layer up the stack — big data analytics — and the use cases that will be unlocked and transformed by collecting and connecting vast quantities of raw data and empowering business analysts with new capabilities. In 2015, we’ll see the impact of big data across almost every industry sector, and there will be a multitude of proof points that go beyond vague claims often seen today. Here are five trends to watch for over the next 12 months: 1. Big data analytics fills security void Big data analytics will … [Read more...] about 5 big data trends to watch out for in 2015