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Hadoop framework

• 7 steps to a successful data lake implementation

  Flooding a Hadoop cluster with data that isn't well organized and managed can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading

• Kubernetes container orchestration gets big data star turn

  The new thing in big data is Kubernetes container orchestration. While it's still early, there are signs of activity, which are cited in this edition of the Talking Data podcast. Continue Reading

• Panera meets big data challenge of lunchtime operations

  In the era of more and more digital orders, Panera Bread encountered big data challenges that led the restaurant chain to deploy a new cluster architecture with Hadoop, Spark and other technologies. Continue Reading

• Rising database security threats require attention -- and action

  Data management teams are asking more questions about data security, Gartner analyst Merv Adrian says in a Q&A. But new factors are complicating the process of securing databases, he adds. Continue Reading

• High-level tools help Hadoop data lake go to school

  Moving relational data into Hadoop isn't a slam dunk. To avert programming complexities, a major Texas university turned to commercial tools to stock its Hadoop data lake. Continue Reading

• Big data architectures face big hurdles with technology integration

  Hadoop and all the related technologies surrounding it enable organizations to design big data environments that meet their specific needs. But putting everything together isn't easy.Continue Reading

• Online music startup picks a recommendation engine

  Amazon and others wrote the book on the recommendation engine. Rather than build its own, music startup PonoMusic turned to data prep and BI software maker Datameer to ramp up fast.Continue Reading

• Mobile gaming company plays new Hadoop cluster management card

  Chartboost, which operates a platform for mobile games, turned to new cluster management software in an effort to overcome problems in controlling the use of its Hadoop processing resources.Continue Reading

• Planning, skills needed to navigate Hadoop data lakes

  In the business intelligence and analytics world, data lakes are their own region -- one in which today's multifarious forms of information can be stored in their native forms until used -- and cheaply at that. But these vast storage repositories, ...Continue Reading

• Dip in Hadoop data lake can be bracing for big data users

  Encouraged by the promise of cost savings and better efficiency, early adopters are wading into Hadoop as a central reservoir for their analytics data.Continue Reading

• Big data careers: Taking the initiative to improve your skill set

  Expert Matt Mueller offers advice to data management pros who are interested in developing their big data skill set.Continue Reading

• Integrating big data tools starts with effective project planning

  Big data systems often are augmenting data warehouses, not replacing them. Bringing the sides together takes bridge-building, based on a solid plan.Continue Reading

• Ancestry.com teams work together to use Hadoop framework for DNA app

  A CTO sits data scientists and software engineers together to successfully employ the Hadoop framework for a DNA app that finds family tree limbs.Continue Reading

• Big data, fast: Avoiding Hadoop performance bottlenecks

  A variety of performance issues can bog down Hadoop clusters. But there are ways to sidestep the pitfalls and keep your big data environment humming.Continue Reading

• Hadoop helps bring big data into a data warehouse environment

  Hadoop emerged primarily to handle unstructured big data. Now it can help IT teams looking to efficiently mix big data systems and data warehouses.Continue Reading