Podcasts

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.
Microsoft Azure SQL Database and Oracle 19c start to rev

A new Microsoft Azure SQL Database Managed Instance service seeks to span the gap between cloud and on-premises systems. Meanwhile, Oracle also has cloud plans of the data kind.

Big data platform broadens place in analytics architecture

Big data platforms stumbled a bit getting out of the prototyping stage. But a view from the Strata Data Conference in New York sees broader use in the offing.
Hadoop data governance services surface in wake of GDPR

GDPR influence is touching a Hadoop big data world that was immune to many privacy considerations until now. This podcast features the rise of Hadoop data governance for data lakes.
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.
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.
IT, others focus efforts as GDPR implementation date looms

The EU's General Data Protection Regulation is meant to bring better data privacy to bear in the age of big data. How GDPR implementation will proceed remains to be seen.
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.
How AI and IoT will influence data management in 2018

AI and IoT will alter the data management landscape in 2018, according to analyst James Kobielus. AI will need regular updates, and DevOps will become more prevalent as a result.
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.
Spark and S3 storage carry forward NBC big data initiative

Has the Hadoop elephant left the room? At NBC, ad analytics have evolved in Hadoop style, but with Spark and S3 at the core, as discussed at the Big Data Innovation Summit in Boston.
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.
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.
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.
Potent NoSQL architecture engaged for building new applications

Behind hyperbolic terms like 'digital transformation' are innovative systems of engagement. DataStax CEO Billy Bosworth joins this discussion of the often underlying NoSQL architecture.
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.
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.
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.
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.
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.
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.
Chief data officer jobs a matter of conjecture

In this podcast, we dig into the nuances of chief data officer jobs. They bounce between defensive privacy, compliance efforts and offensive digital innovation undertakings.
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.
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.
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.
Hadoop jumps in Spark stream -- goes beyond batch processing

Batch processing came, went and returned. Now it may be leaving again, MapR's Jack Norris tells the Talking Data podcasters.
Machine learning methods applied to big data

An upsurge in machine learning methods in recent years is riding the big data wave. This podcast breaks the trends into essential component parts.
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.
Intel promotes big data analytics platform to speed use

This podcast considers TAP, a big data analytics platform from Intel meant as a cloud blueprint for speedier development.
How data analyst training is changing

In this podcast, Robert McGrath, head of the University of New Hampshire's graduate program in analytics, discussed the current shortage of data analyst training programs.
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.
Data preparation process comes under new scrutiny

Data preparation processes are changing as business users cope with big data in all its variations, according to the latest Talking Data podcast.
MongoDB podcast: Portals portend future uses

The Talking Data podcast goes to MongoDB World and sees enterprise uses for the NoSQL database, including a look at what payroll company ADP does with MongoDB.
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.
Agile practices, DevOps approach take on NoSQL modeling issues

For many data management teams, going through application code is the only way to find NoSQL data models. But there are ways to change that, according to this Talking Data podcast.
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.
Taking the long view on IBM Watson

IBM Watson carries forward the notion of cognitive computing. Our Talking Data podcast offers several views on the trend.
Data warehouse performance killers -- and how to avoid them

In a podcast Q&A, consultant William McKnight offers advice on steering clear of common hazards that can puncture the performance of data warehouses.
Tips on creating a data governance policy, framework for your company

Get expert advice on how to set up and manage a data governance policy and framework. Hear an overview of data governance trends and common roadblocks on data governance programs.
Tips for managing a data management team

Managing a data management team is just as important as managing the underlying technology. Get tips for managing data management staff from Baseline Consulting's Dave Gilbert.
Tips for a master data management (MDM) requirements gathering process

Embarking on a master data management (MDM) project? Get an expert's tips for the MDM requirements gathering process and ensure MDM implementation success.
Evaluating and selecting a master data management (MDM) vendor

Learn how to compare and select a master data management (MDM) vendor. Hear about common MDM mistakes, how to write a streamlined vendor request for proposal (RFP) and how to evaluate customer reference letters.
Data models serve as blueprint for business intelligence, master data management projects

No business intelligence or master data management initiative should start without a well-designed data model to guide the project.
Data warehouse architecture: Beyond hub-and-spoke

Hear a hub-and-spoke definition and learn about challenges surrounding hub-and-spoke architecture. Know all the issues and details before implementing a hub-and-spoke design and hear how data governance plays a role in the hub-and-spoke model.
How to get started with master data management

Forrester Research's Rob Karel reveals his tips for starting a master data management (MDM) initiative, including how and when to start evaluating vendors.
Exec explains IBM's Information On Demand (IOD) initiative

Listen to IBM's Steve Mills discuss Big Blue's Information On Demand initiative and why he thinks it's in a better position to help customers than rival Oracle.
Creating successful data stewardship programs, with Jill Dyché

Learn how data stewardship fits into data governance and data quality management programs, from Jill Dyché.
Data quality assessment helps identify, fix data quality problems

Data quality problems can't be fixed until they are identified. Learn how a data quality assessment can help pinpoint data quality problems.
Nationwide Insurance implements master data management program

Nationwide Insurance shares master data management (MDM) best practices in this case study podcast and provides an architectural diagram.
Understanding master data management (MDM) implementation styles

Rick Sherman explains the three styles of master data management (MDM) -- operational, analytical and enterprise - and how to select a style and get started.
Data governance: How to get started and find success, featuring Jill Dyché

Data governance, or lack thereof, can make or break many enterprise programs. Learn data governance program success factors and get advice in a podcast with expert Jill Dyché.
Data management podcast library

SearchDataManagement.com's growing collection of podcasts features conversations about many aspects of data management, including business intelligence (BI), enterprise data integration (EDI), master data management (MDM), and data quality and governance.
Data quality trends, with expert Larry English

Data quality tools and processes have changed dramatically, so keep up with the latest data quality trends. Renowned expert Larry English provides timely advice for your data quality strategy.

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