Big data analytics guide for data architects

Over the past few months, there has been a spurt in interest in big data analytics technologies. On the one hand, vendors see it as an opportunity to sell their solutions now, and on the other, the data architects and managers are exploring ways to meet the big data challenges while keeping costs low. This detailed guide will offer perspectives on how big data technologies and analytics will pan out, besides different options for data analysts and architects to manage big data efficiently.

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6 high profile examples of Big Data improving operations for corporations

This e-guide collates a group of examples of big data technologies in use, such as how Mercedes-AMG Petronas Motorsport are looking to gain an edge on the competition in the Grand Prix season. Also see how big organisations are managing their big data operations and their data analytics programmes and teams through some high profile case studies.

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In this guide:

• Selecting a cloud data store for big data
• Examine big data management at work
• Download big data presentations for free
• Standard data warehouses vs Hadoop
• Thinking of Hadoop, MapReduce to manage big data? Read this first
• Top trends in big data processing
• Yahoo’s ex-chief of data mgmt on analytics and big data
• Teradata CTO speculates on big data analytics market trends
• Privacy concerns and big data
• SAP’s solution to tackle big data analytics
• On a lighter note: What’s the big deal?

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  Selecting a cloud data store for big data 

  With rising popularity of the cloud computing model for data storage, one important issue vexing the enterprise IT leaders has been how to filter the growing cloud data store taxonomy. Figuring out the appropriate model for cloud data store for big data has become an important challenge. Learn the ins and outs of cloud databases like SQL, No SQL and NewSQL in this tip.

  Learn the basics

  Big data in a nutshell

  The latest buzzword in IT circles; big data has become an important topic for CIOs and analytics professionals. This tip offers a quick overview of big data and the technological challenges it poses to organizations.

  Definition of big data from Whatis.com

  Also written as ‘Big Data’, it is a general term popularized by IT vendors to describe voluminous amounts of unstructured or semi-structured data. Know about big data in detail. Get your fundamentals right.

   

  Examine big data management at work 

  Catalina Marketing Corp., a St. Petersburg, Florida, U.S.-based company uses data collected from retailer loyalty cards to track and predict the shopping habits of consumers across the world. On a typical day, it receives up to 52.5 crore pieces of data from U.S.-based retailers alone. In its systems, Catalina stores about 80,000 crore rows of customer data that includes the big purchasing history of 20 crore Americans over the past three years. Find out how Catalina manages such big data and uses it effectively for analytics.

   

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• Download big data presentations for free 

  With interest in big data analytics increasing rapidly, India Chapter of The Data Warehouse Institute (TDWI) recently conducted a full-day event in Hyderabad to focus on big data technologies and perspectives. Check out the important seminar presentations on topics including Hadoop, NoSQL, big data analytics challenges, and speedy analytics. Download all the presentations for free!

   

  Standard data warehouses vs Hadoop 

  Bringing together the conventional data warehousing concepts and the Java-based programming framework Hadoop may be the most appropriate approaches to handle big data successfully, believes Forrester analyst James Kobielus. Find out the latest on big data analytics and management with Hadoop and data warehousing from the experts.

   

  Thinking of Hadoop, MapReduce to manage big data? Read this first 

  With big data analytics challenge looming low, vendors have started introducing expensive products to tame the monster. One of the options thought of by data analytics professionals has been to explore frameworks like Hadoop and MapReduce to deal with big data analytics. Get expert views on how these two technologies can be used and about their current limitations.

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• Top trends in big data processing 

  With explosive growth in information, software vendors will increasingly add big data processing technology to their data management portfolios in the near future, according to Forrester Research. Discover how the competitive landscape for big data analytics will look like in the near future.

   

  Yahoo’s ex-chief of data mgmt on analytics and big data 

  Usama Fayyad, a former chief data officer and executive vice president of research and strategic data solutions at Yahoo, shares tips, tricks, and personal experience on how analytics will be a key in the future of big data. Learn from this thought leader on data mining.

   

  Teradata CTO speculates on big data analytics market trends 

  In an interview to TechTarget, Teradata’s chief technology officer, Stephen Brobst, shares what he thinks about big data and the impact it can have on business analytics. Learn how big data will influence analytics technology investments of future and get insights into Teradata’s acquisitions in this domain.

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• Privacy concerns and big data 

  Recently, the U.S. Supreme Court ruled that pharmaceutical and data mining companies have a First Amendment right to a doctor’s prescription data. Despite this precedent, the debate continues amongst industry observers regarding broader aspects about big data mining, data privacy, and how organizations should craft policies. Get the details of the specific case and industry perspectives on these important issues.

   

  SAP’s solution to tackle big data analytics 

  SAP has issued new releases of its business intelligence (BI) and enterprise information management (EIM) solutions under SAP BusinessObjects portfolio. Find out what features the solution offers and how the vendor intends to market the product.

   

  On a lighter note: What’s the big deal? 

  Two of the superfluous buzzwords that have entered the data management lexicon in the recent past include ‘big data’ and ‘single version of truth’. Find out more about such jargons that irritate industry experts and know why.

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