Talking Data

Big data management

• 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

• Machine learning and analytics among key Oracle security moves

  The Equifax Struts breakdown forms the backdrop for the Oracle machine learning and analytics moves considered in this Talking Data podcast.  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

• Deft preprocessing marks deep learning techniques for data preparation

  Deep learning techniques for data preparation include exploration of data sets and algorithms. This calls for more than a bit of art on the part of data engineers and scientists.  Continue Reading

• IT operations analytics brings big data power to the data center

  We don't need more databases, we need more meaning, according to OpsDataStore CEO Bernd Harzog, appearing on a podcast covering IT operations analytics trends.  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

• Real-time big data analytics brings change to data management

  Real-time big data analytics calls for changes in the way data systems are built. Some of the pressing challenges are discussed in this edition of the Talking Data podcast.  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

• Oracle tunes its database on its way to the hyperscale cloud

  Shifts brought on by a push to the hyperscale cloud may change parts of data management. Hardware and software are getting closer, according to a 'Talking Data' podcast.  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

• Big data and analytics meet the year of unpredictability

  This year has come up short on predictability. That's the backdrop as a KPMG study shows CEOs seeking more trust in big data and analytics.  Continue Reading

• Fifty years forward: A look at the ComputerWeekly back pages

  On the occasion of ComputerWeekly's 50th anniversary, Brian McKenna joins the Talking Data podcast crew to look back at Bletchley Park, and forward to Hadoop and AI.  Continue Reading

• Spark Summit 2016 highlights maturity of the Spark platform

  In this edition of Talking Data, we recap the Spark Summit, including critiques of the Spark streaming engine and where the open source data processing ecosystem goes from here.  Continue Reading

• Systems infrastructure for deep learning software in flux

  New approaches to hardware infrastructure are being put forward to address the challenges of running deep learning algorithms and other heavy-duty artificial intelligence applications.  Continue Reading

• What is the reality behind IoT big data applications?

  There's no shortage of hype surrounding IoT data analytics and how it might benefit businesses, but organizations need to know if tools for analyzing data from the Internet of Things are right for them.  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