Getting Started with Big Data Analytics

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Follow Us:     Top Story     Getting Started With Big Data Analytics Using the Hadoop Ecosystem   At the center of the new big data movement is the Hadoop framework, which provides an efficient file system and related ecosystem of solutions to store and analyze big datasets.  People who are new to big data often lack a comprehensive view of how end-to-end solutions are actually constructed. As a result, they have an incomplete understanding of how Hadoop may be used to solve their problems. The Hadoop ecosystem was addressed from two points of view in a session at Data Summit 2016.   Read Full Story     MUST HAVE DOWNLOADS     HARNESSING ANALYTICS IN THE CLOUD SUCCEEDING WITH DATA DISCOVERY, DATA SCIENCE, & ENTERPRISE BI BEST PRACTICES FOR BRINGING MAINFRAME DATA TO YOUR BIG DATA SYSTEMS AVOID THE COMMON PITFALLS OF ERP CHANGE MANAGEMENT: CHAPTER ONE GOVERNED DATA DISCOVERY – BI TOOLS THAT BALANCE FLEXIBILITY AND STANDARDS THE ESSENTIAL DBA PLAYBOOK FOR OPTIMIZED SQL SERVER MANAGEMENT THE FUTURE OF DATA WAREHOUSING CLOUDANT DBAAS SERVICE OVERVIEW     News, Columns & Features     Solving Ad Hoc Query Challenges with Apache Drill   Despite the increasing focus on offering more access to more users in organizations, ad hoc querying of big data remains a problem for most, according to Jair Aguirre, lead data scientist at Booz Allen Hamilton, who presented a session at Data Summit 2016 titled “De-Siloing Data Using Apache Drill.” Many studies have shown that data scientists spend 50–90% of their time gathering and preparing data from various formats and locations, making querying a major challenge.   Read Full Story     Cross-Fire Panel at Data Summit 2016 Debates the Implications of IoT   What's ahead for the Internet of Things as far as data privacy, standards for interoperability, and meaningful use cases? John O'Brien, principal advisor of Radiant Advisors; Joe Caserta, president and CEO of Caserta Concepts; and George Corugedo, CTO of RedPoint Global, addressed those questions in a panel discussion at Data Summit 2016.   Read Full Story     Delivering Data at the Speed of Business   With the speed of business constantly increasing, the demand for real-time data has grown along with it. As business-driven demands on data speed heighten, however, some organizations are still inhibited by slow moving data that can't keep up. New strategies must be created to process data at the speed that is expected from today.   Read Full Story     Node.js Brings JavaScript to the Server   Redmonk’s annual programming language rankings – based on GitHub and StackOverflow traffic - was recently released and to no-one’s surprise, JavaScript was ranked as the most popular programming language.  The popularity of JavaScript is reflective of its critical role in powering modern web-based applications.  The rich experience that characterizes the modern web has largely been enabled by the shift from HTML-centric web applications in web 1.0 to the web 2.0-style in which key presentation logic is implemented in JavaScript.    Read Full Story

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