Tag: IBM

Feed: CDH – Cloudera Engineering Blog. Author: Jon Zuanich. Ed Albanese leads business development for Cloudera. He is responsible for identifying new markets, revenue opportunities and strategic alliances for the company. This week’s announcement about the availability of the Cloudera Connector for IBM Netezza is the achievement of a major milestone, but not necessarily the one you might expect. It’s not just the delivery of a useful software component; it’s also the introduction of a new generation of data management architectures.  For literally decades, data management architecture consisted of RDBMS, a BI tool and an ETL engine. Those three components ... Read More

Feed: CDH – Cloudera Engineering Blog. Author: Jon Zuanich. Bala Venkatrao is the director of product management at Cloudera. I had the pleasure of attending Enzee Universe 2011 User Conference this week (June 20-22) in Boston. The conference was very well organized and was attended by well over 1000+ attendees, many of whom lead the Data Warehouse/Data Management functions for their companies.  This was Netezza’s largest conference so far in seven years. Netezza is known for enterprise data warehousing, and in fact, they pioneered the concept of the data warehouse appliance. Netezza is a success story: since its founding in ... Read More

Feed: Latest imported feed items on Analytics Matters. The recent San Antonio, Texas, tragedy served as a vivid reminder that human trafficking is an international crisis that spans from poor nations to the doorsteps of some of the most developed nations in the world. While this United States-based event captured global news, the ongoing human trafficking crisis in India often goes underreported. A recent U.S. Consulate General in the country partnered with local nongovernmental organizations, creating campaigns that addressed local, mostly poor, communities to provide them with the tools to empower themselves to stand up against the crime. Forced labour ... Read More

Feed: Planet big data. Author: JeanFrancoisPuget. Here is a question I was asked to discuss at a conference last month: what is Artifical Intelligence (AI)?  Instead of trying to answer it, which could take days, I decided to focus on how AI has been defined over the years.  Nowadays, most people probably equate AI with deep learning.  This has not always been the case as we shall see. Most people say that AI was first defined as a research field in a 1956 workshop at Dartmouth College.  Reality is that is has been defined 6 years earlier by Alan Turing ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. Big data has taken the tech world by storm in the last years, as new applications are developed every day, ranging from retail and advertising to healthcare and politics. The impact of big data analytics is now spilling over novel fields, such as sports and online gaming. Could the use of big data signal the end of betting, as powerful data analytics might be employed to accurately predict the results of all sorts of games, leaving little room for hopeful optimists to make their wagers? Never mind ... Read More

Feed: Hadoop Dev. Author: Linda.Liu. Introduction In a previous post, it demonstrated how to configure LDAP integration with IBM Open Platform on a BigInsights Cluster. Here is the link.In this post, it concentrates on the missing content from the previous post for the Microsoft Active Directory (AD) integration. Objective This technical document is intended to show viewers step by step instructions on how to setup AD on RedHat and/or CentOS Operating System and the integration on a Hadoop Cluster. Version Tested RedHat v7.x, CentOS v7.x Ambari v2.4.x Lessons Learned Don’t include spaces in a bind id (ex. “Service, EnterpriseLdap”) AD ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: andrea-braida; Justin Saul is Senior Director of Technology at A Place for Mom, Inc. (APFM). Justin’s career began in the start-up space, where he founded several successful businesses. He joined You’ve Got Leads—a division of APFM that delivers web-based relationship management solutions for the senior care industry—as a Director of Operations focused on strategic IT projects, and then moved into running all technology for the company’s start-up divisions. Justin has considerable breadth and depth of experience in building technical teams, architectures and processes.  It’s no secret that most successful ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: karan-sachdeva; The latest executive report published by IBM Institute for Business Value puts the estimated cost of cyber crime to the global economy in a range of USD 375–575 billion per year. Reputational damage, which is hard to calculate, comes on top of all this. No industry and geography has remained untouched with recent spurt of cyber attacks. Most companies have cyber security systems in place with some Fortune 500 and government agencies having highly advanced sophisticated systems in place. The difficulty is, not many have constructed living, dynamic and vibrant ... Read More

Feed: Planet big data. Author: Paul Miller. Forrester’s What It Means PodcastConversations with thought leaders to define and demystify the changing market. Listen or subscribe now (Photo Credit: justusbluemer Flickr via Compfight cc) Working closely with colleagues in North America and Asia, we just published the third of three related Forrester Waves on Hosted Private Cloud. Lauren Nelson kept all of us on track, and led work on the North American document. Charlie Dai took the lead for the Asia Pacific version, and I led the final – European – report. Vendors assessed here in Europe were CenturyLink, IBM, Interoute, ... Read More

Feed: Hadoop Dev. Author: MausamiKusum. In this blog, we will discuss how to leverage the integration between BigSQL and Spark to work with BigSQL data from Spark using spark JDBC connector. Spark JDBC data source enables you to execute BigSQL queries from Spark and consume the results as data frames. In this example we will read data from a simple BigSQL table into a Spark Dataframe that can be queried and processed using Dataframe API and SparkSQL. Only Spark version: 2.0 and above can be used for this example. 1. Create and populate a simple BigSQL table. You can also ... Read More