Talking Data

Hadoop framework

• Open source support was central to 2018 data deals

  Mergers and acquisitions unsettled the big data status quo in 2018. Open source support made these couplings a bit different than those of the past, Talking Data podcasters said.  Continue Reading

• Starburst finds new worlds to conquer with SQL query engine

  Relational databases may have hit a wall of late, but the SQL query engine seems poised for wider growth. Starburst, a retro startup of sorts, is among those looking to take it wider still.  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

• Google TPUs open up on cloud; LinkedIn intros Hadoop Dynamometer

  In big data news, we find Google TPUs, or Tensor Processing Units, offered as a cloud service, while LinkedIn is open sourcing a Hadoop test simulator called Dynamometer.  Continue Reading

• Analytics uses drive need for speed in working with big data

  Today, analytics work is about speed. That means rapidly building clusters and transforming and querying data. Learn how users are streamlining digital business.  Continue Reading

• Big data vendors, users see Hadoop stack from different sides

  In this Talking Data podcast, TechTarget editors discuss Hadoop's future, IBM's decision to resell the Hortonworks distribution of the open source technology and other big data issues.  Continue Reading

• Users jump some hurdles to do streaming, machine learning with Spark

  In this Talking Data podcast, Spark users are finding that latency and development challenges can make it difficult to start doing machine learning with Spark systems.  Continue Reading

• Data engineering needs DevOps to navigate big data ecosystem

  For an open source strategy to work, applications based on big data ecosystem components must be hardened to run in production. DevOps could be an important part of that.  Continue Reading

• Big data management and analytics weather tumult -- with more in store

  Cloud had a big impact on big data management and analytics last year. Machine learning and streaming designs will contribute to change in 2017.  Continue Reading

• Big data pipeline drives change in Hadoop architecture, development

  A move to fast data analytics and real-time processing could bring change to the big data pipeline. Microservices are edging into a mostly monolithic Hadoop domain.  Continue Reading

• Cloud and streaming technologies for Hadoop: Part boon, part muddle

  The Hadoop ecosystem is both a horn of plenty and a grab bag of data technology. This podcast sorts through some recent news of streaming technologies and Hadoop in the cloud.  Continue Reading

• Build vs. buy equation changes, as open source big data tools surge

  The build vs. buy decision is a fluid one, as open source big data tools proliferate. This edition of the Talking Data podcast looks at the new quandary.  Continue Reading

• Hadoop, Kafka creators big on big data streaming analytics

  In this edition of the Talking Data podcast, big data streaming analytics comes into focus. The technology formed a strong undercurrent at Strata + Hadoop World 2016.  Continue Reading

• Big data systems cross over, fuel cognitive computing growth

  At IDC Directions, big data systems appeared poised for further growth. This and cognitive computing are the focus of this Talking Data podcast, which covers event data highlights.  Continue Reading

• Spark: It's the word of the year in 2015 for data analytics

  This episode of the 'Talking Data' podcast looks at the word of the year in data analytics and management. In 2015, Spark joined Hadoop and MapReduce at the top of the list of trending big data technologies.  Continue Reading

• Big data applications to drive Walmart reboot

  We may have outlived the era of killer apps in some part defined by Walmart, but Hadoop big data applications may help the giant's quest for more growth.  Continue Reading

• Apache Spark meets the PDP-11 -- in the end, it's just processing

  At times, it seems a Hadoop usurper, but the open source Spark processing engine is best viewed as another step on the long road of computing technology.  Continue Reading

• Machine learning gets boost from growing big data ecosystem

  The parallel processing platforms underpinning big data systems can help machine learning newbies and vets alike. TechTarget editors discuss how that may play out in this Talking Data podcast.  Continue Reading