Talking Data

Enterprise data architecture best practices

• 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

• Tableau targets data preparation software with Project Maestro

  As Tableau and other high-level applications look to automate more functionality, stand-alone data preparation tools have to evolve to stay relevant in the analytics ecosystem.  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

• 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

• 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

• 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

• Looking at NoSQL and big data analytics challenges

  This episode of the Talking Data podcast looks at obstacles to NoSQL, as well as big data analytics challenges that software architects confront with Hadoop.  Continue Reading

• Talking Data podcast goes to data journalism and analytics school

  In this episode of the Talking Data podcast, TechTarget editors report on their experiences learning to do data journalism, including all the work needed to get data ready for analysis.  Continue Reading

• SQL Server 2016, Azure SQL Data Warehouse lead Microsoft cloud hopes

  Microsoft is working on yet another computing transformation, and its SQL Server and Azure SQL products are central thereto. But the company faces stiff competition in the cloud from Amazon.  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