The number of SQL options for Hadoop expanded substantially over the last 18 months. Most get a large amount of attention when announced, but a few slip under the radar. One of these low-flying options is Apache Tajo. I learned about Tajo in November of 2013 at a Hadoop User Group meeting.
The new Intel Xeon processor E7 v2 product family is designed to make data more valuable for your business through in-memory computing – one of the more recent advances in data management and analytic solutions, which stores the entire data set in main memory rather than traditional hard disk storage. In-memory database and analytics solutions enable significant performance gains in analyzing complex and diverse datasets. We’re talking about analysis in seconds or minutes rather than hours or days. This is how you get to real-time insight.
The University of California, Berkeley, has been authorised by Alcatel-Lucent to release all Plan 9 software previously governed by the Lucent Public License, Version 1.02 under the GNU General Public License, Version 2.Click here to edit the title
This weekend I had the opportunity to attend Penn State’s “Teaching and Learning with Technology” Symposium. In addition to hearing some great talks about innovation, learning analytics, and the PSU strategy on MOOCs, I was energized to pick up with data/text mining in R. Learning analytics (LA) and the future of their use have fascinated me for quite sometime, and I have been eager to combine my developing R skills with data mining techniques.
REEF stands for the Retainable Evaluator Execution Framework, and it is our approach to simplify and unify the lower layers of big data systems on modern resource managers like Apache YARN, Apache Mesos, Google Omega, and Facebook Corona. On these resource managers, REEF provides a centralized control plane abstraction that can be used to build a decentralized data plane for supporting big data systems, like those mentioned below. Special consideration is given to graph computation and machine learning applications, which require data retention on allocated resources, as they execute multiple passes over the data.Click here to edit the content
InfluxDB is a time series, events, and metrics database. It's written in Go and has no external dependencies. That means once you install it there's nothing else to manage (like Redis, HBase, or whatever). It's designed to be distributed and scale horizontally, but be useful even
As the social media giant Facebook celebrated it's 10th anniversary, let's take a look at how the company has been impacting Hadoop ecosystem. Listed below are 10 ecosystem projects in which Facebook has done significant open source contributions. Also, towards the end, listed below are some of the other Hadoop ecosystem projects which are not yet open source but occupy a position of prominence inside the company's technical environment.
Red Hat and Hortonworks are integrating a number of technologies to give joint customers a more seamless experience running their Hadoop workloads on private cloud or virtualized infrastructure. In an upstart market worth billions, it helps to have friends like Red Hat.
Review of Top 11 Free Software for Text Analysis, Text Mining, Text Analytics ? KH Coder, Carrot2, GATE, tm, Gensim, Natural Language Toolkit, RapidMiner, Unstructured Information Management Architecture, OpenNLP, KNIME, Orange-Textable and LPU are some of the key vendors who provides text analytics software
At Linkurious our mission is to deliver enterprise-level applications for graph visualization and exploration. We naturally integrate world-class open source technologies in our products, like Neo4j, ElasticSearch and Node.js on the backend. On our Web frontend, graphs are rendered using our fork of Sigma.js, the most efficient graph visualization library on the market. Today the …
A dozen years ago, we created a graph database because we needed it. We focused on performance, reliability and scalability, cementing a foundation for graph databases with the 0.x series, then expanding the features with the 1.x series. Today, we announce the first of the 2.x series of Neo4j and a commitment to take graph databases further to the mainstream.
Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.
How to integrate my topics' content to my website?
Integrating your curated content to your website or blog will allow you to increase your website visitors’ engagement, boost SEO and acquire new visitors. By redirecting your social media traffic to your website, Scoop.it will also help you generate more qualified traffic and leads from your curation work.
Distributing your curated content through a newsletter is a great way to nurture and engage your email subscribers will developing your traffic and visibility.
Creating engaging newsletters with your curated content is really easy.