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Covering trends and best practices in Big Data analytics, mainframes and data integrity
Updated: 19 min 21 sec ago

Expert Interview (Part 2): iTech-Ed’s Trevor Eddolls Offers Mainframe Tips for IT Teams

Fri, 06/23/2017 - 13:28
In Part 1 of this two-part interview, mainframe industry guru Trevor Eddolls shared background on how he became a mainframe expert, discussed major mainframe trends, and the role mainframes can play in today’s IT infrastructures, including Cloud. In today’s Part 2, he provides mainframe tips for organizations on what they need to do to address the skills gap, to ensure their mainframes continue to serve their business needs, and what to target for the biggest opportunities for growth or im...
Categories: News from Vendors

Expert Interview (Part 1): Trevor Eddolls of iTech-Ed on Mainframe’s Role in Today’s IT

Thu, 06/22/2017 - 13:00
A popular mainframe industry speaker and blogger, Trevor Eddolls (@t_eddolls) is CEO at iTech-Ed Ltd. He also currently chairs the Virtual IMS and Virtual CICS user groups. Eddolls was recognized as an IBM Champion seven years in a row between 2009 and 2016 for his leadership and contributions to the Information Management community. He’s written numerous technical articles and published three mainframe-related books. And beyond the mainframe, he’s an accomplished Web designer and a ...
Categories: News from Vendors

New Application of Change Data Capture Technology Revolutionizes Mainframe Data Access and Integration into the Data Lake

Wed, 06/21/2017 - 13:25
Introducing DMX Change Data Capture (CDC) the only product available with mainframe “capture” AND Big Data “apply…” Syncsort’s New CDC Product Yesterday, we announced our new product offering, DMX Change Data Capture. This unique new offering, which works with both DMX and DMX-h, allows for reliable, low impact (I’ll explain this more) capture from mainframe sources and automatically applied to Hadoop data stores. I’d like to use this blog to explain what we announced and why it’s unique i...
Categories: News from Vendors

Attendees and Vendors Educate Each Other on Data Quality and Data Governance at DGIQ 2017

Tue, 06/20/2017 - 13:01
On June 13th and 14th, Trillium sponsored and attended the Data Governance and Information Quality Conference (DGIQ) in San Diego. There were familiar faces from the Collibra user group that was held in Jersey City a few weeks earlier. Attendees from the US, Norway, Brazil and other countries came by the booth to learn about Trillium or understand how we fit into the data governance space. Most DGIQ attendees were in the planning stages trying to understand what data governance encompasses from ...
Categories: News from Vendors

DataWorks Summit Highlights – Hortonworks Trends, Partnerships and Customer Success

Mon, 06/19/2017 - 13:30
The first DataWorks Summit in San Jose was full of exciting announcements to help fulfill Hortonworks’ vision of enabling the Modern Data Architecture. Here’s a look at the conference highlights. Key Notes from Hortonworks During DataWorks Summit’s first day of keynotes Rob Bearden, CEO of Hortonworks, announced the following joint efforts with IBM: Hortonworks to adopt Data Science Experience platform from IBM Hortonworks to adopt Big SQL IBM and Hortonworks collaboration to advanc...
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Live from DataWorks, Joint Appearance from Hortonworks and Syncsort CTOs on theCUBE

Sat, 06/17/2017 - 13:30
During DataWorks 2017, held this past week in San Jose, Syncsort CTO Tendü Yoğurtçu and Hortonworks CTO Scott Gnau reunited for a joint interview on theCUBE, SiliconANGLE TV’s live broadcast, with co-hosts Lisa Martin & George Gilbert. The is not the first time Tendu and Scott joined forces. They appeared together at this same event last year to launch the EDW Offload solution. In this week’s interview, they discuss what’s happening with the partnership, including new developments that...
Categories: News from Vendors

Syncsort and Collibra Partnership – What It Really Means

Thu, 06/15/2017 - 14:40
This week, Syncsort is announcing our strategic partnership with Collibra here at the Data Governance & Information Quality conference (perfect name!) in sunny San Diego. Extending the Trillium Software + Collibra Relationship Even before Trillium Software was acquired by Syncsort, it already had a relationship with Collibra, including many mutual customers. Our announcement this week is expanding our relationship across at all levels. What’s driving the extended partnership? Our mutual cust...
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5 Ways to Put Data to Work Detecting Fraud

Wed, 06/14/2017 - 13:30
You already know that Big Data analytics can deliver business insights and improve operations. But have you thought about the role that analytics can play in detecting fraud? If not, this article is here to remind you by describing several examples of how you can use data to help defeat fraud. When I say fraud, I mean any kind of fraudulent transactions or intrusive activity that harms your business or your customers. Traditionally, organizations detected fraud through manual, time-consuming pro...
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To Catch Fraud, Real-Time, Analytics-Based Detection is Key

Tue, 06/13/2017 - 13:30
Catching fraud after it has occurred is good. Real-time fraud detection – which can be achieved by leveraging real-time data analytics – is much, much better. Here’s why. You should always be on the lookout for fraud. Even if the fraud has happened in the past, identifying and investigating fraudulent events helps you to understand the weaknesses in your systems that attackers use to compromise data or steal resources. Periodically reviewing reports about historical fraudulent incidents al...
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A Primer on Governing Unruly Data

Mon, 06/12/2017 - 13:19
Just as government officials probably wish their constituents always got along and never disagreed, you likely wish that your company’s data were easy and simple to manage. But it’s not. That’s why you need a data governance process for managing all the unruly data that your organization collects, stores and analyzes. This article explains the basics of developing an effective data governance process for taming unruly data. Defining Data Governance Before we dive into the spec...
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5 DataWorks Must-Reads as You Make Your Way to San Jose

Sat, 06/10/2017 - 13:30
The DataWorks Summit in San Jose, CA is just a few days away. How about a little light plane reading to help you get conference-ready? Here are 5 blog posts to help you prepare for DataWorks 2017. Headed to #DWS17? Here are 5 quick reads to get you ready! #Hadoop #DataLake #CloudClick To Tweet Insights from a DataWorks Keynote Speaker Read: Expert Interview: Scott Gnau On the Hadoop Toolbox, Spark, and Future-Proofing the Hadoop We recently sat down with one of the DataWorks Summit keynote sp...
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5 of the Hottest IT Trends (and How Mainframes Play a Role)

Thu, 06/08/2017 - 13:30
Mainframe is not on most people’s lists of the hottest words in tech. Additionally, mainframes may seem disconnected from modern IT trends, but the latest practices and innovations are being applied to mainframes. Here’s how. Mainframes were developed long before anyone was thinking about the trends and technologies that define modern computing. Concepts like open source software were decades away from emerging when the first mainframes were deployed in the 1950s. Other modern IT t...
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The Value Wedge: What Data IS, DOES, and MEANS in Data Governance and Data Quality Initiatives

Wed, 06/07/2017 - 13:30
If you’ve followed the enterprise software industry over the past ten years, you’ve probably picked up on a key trend that has led successful vendors to prominence and others to their demise – making data “fit for purpose.” The successful vendors have offered solutions that are simple to deploy, easily accessible for IT to manage and administer, while empowering its line of business users to leverage data to fully benefit their unique departmental goals. You may be asking what I’m getting at or ...
Categories: News from Vendors

5 Reasons to Run Hadoop in the Cloud

Tue, 06/06/2017 - 13:30
You know Hadoop. You know about the cloud. But do you know why and how to run Hadoop in the cloud in order to supercharge your data analytics operation? Apache Hadoop was born as an on-premise platform, and most of the use cases for early commercial Hadoop vendors – like Cloudera, Hortonworks and MapR – focused on on-premise implementations of the open source data analytics platform. Hadoop in the Cloud But alongside on-premise Hadoop environments, Hadoop-as-a-Service – meaning Hadoop running i...
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Machine Learning is Great, But Only when Powered by Data Quality

Mon, 06/05/2017 - 13:30
Machine learning and artificial intelligence are reshaping the technology world. But machine learning is only as effective as the data that drives it. In other words, if you want to implement effective machine learning, you need to pay attention to data quality. Machine learning and artificial intelligence (AI) are not new concepts. They have been around since the early decades of computing when theorists like Alan Turing began imagining ways to make computers “think” rather than jus...
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3 Webinars for a Smarter Mainframe: Optimization, Machine Learning & Sort Innovations

Sat, 06/03/2017 - 13:30
Class is now in session! Take advantage of these hazy, lazy days to catch up on some modern mainframe best practices. And today’s post doesn’t even have a required reading list! Smarten up your mainframe during your next summer lounge session with one or more of these recently recorded webinars featuring mainframe optimization, machine learning and innovations in mainframe sort technology. The Future of Mainframe Optimization In this IBM Systems Magazine webinar, you’ll learn about...
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Syncsort Continues to Drive Mainframe and Distributed Data Integration

Thu, 06/01/2017 - 13:31
This post is an update of an article that originally appeared on the Dancing Dinosaur blog. In the fall of 2015, Syncsort, a leading mainframe ISV, introduced a set of tools to facilitate data integration through Apache Kafka and Apache Spark, two of the most active Big Data open source projects for handling real-time, large-scale data processing, feeds, and analytics. Syncsort’s primary integration vehicle then revolved around the Intelligent Execution capabilities of its DMX data integration p...
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Expert Interview (Part 2): Databricks’ Reynold Xin on Structured Streaming, Apache Kafka and the Future of Spark

Wed, 05/31/2017 - 13:23
The new major version release of Spark has been getting a lot of attention in the Big Data community. One of the most significant strides forward has been the introduction of Structured Streaming. At the last Strata + Hadoop World in San Jose, Syncsort’s Big Data Product Manager, Paige Roberts sat down with Reynold Xin (@rxin) to get the details on the driving factors behind Spark 2.0 and its newest features. Reynold Xin is the Chief Architect for Spark core at Databricks and one of Spark’s foun...
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Expert Interview: Reynold Xin, Databricks Chief Architect and Founder, on Driving Forces Behind Major Changes to Spark 2.x

Tue, 05/30/2017 - 13:30
The major version release of Spark has been getting a lot of attention in the Big Data community. At the last Strata + Hadoop World in San Jose, Syncsort’s Big Data Product Manager, Paige Roberts sat down with Reynold Xin (@rxin) of Databricks to get the details on the driving factors behind Spark 2.x and its newest features. Reynold Xin is the Chief Architect for Spark core at Databricks and one of Spark’s founding fathers. He had just finished giving a presentation on the full history of Spark...
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NEW! Bloor Spotlight Paper: Big Data & the Mainframe, Issues and Opportunities

Thu, 05/25/2017 - 13:30
In this new white paper from Bloor, common issues around Big Data deployments are discussed, including strategies to resolving them, or even turning them into opportunities. “More or less every major organisation in the world has a mainframe at the heart of its enterprise and it is critical that big data deployments are viewed from that perspective rather than treated as isolated efforts that are distinct from the mainframe environment.” – Author Philip Howard Discover the six issues involved ...
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