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Covering trends and best practices in Big Data analytics, mainframes and data integrity
Updated: 38 min 39 sec ago

Inside Look: CEO’s Note to Employees on Syncsort & Vision Solutions Combination

Thu, 08/17/2017 - 14:00
Today, we announced the closing of Centerbridge’s $1.26 billion acquisition of Syncsort and Vision Solutions, with Syncsort CEO Josh Rogers leading the combined company under the Syncsort brand. We are sharing what most companies don’t often publicly disclose – our CEO’s note to employees. Josh provides some background on Vision and Syncsort as well as outlines our key priorities going forward. Read on! A Message to the Team: CEO’s Note to Employees From: Josh Rogers To: All Employees Subject: ...
Categories: News from Vendors

How to Create Citizen Data Scientists

Wed, 08/16/2017 - 13:30
You’ve heard of citizens. You’ve heard of data scientists. Have you heard of citizen data scientists? If not, this is your guide to turning employees and customers into citizen data scientists to help make the very most of your data. Briefly put, a citizen data scientist is someone who works with data in some way but is not a data scientist, data analyst, storage engineer or another type of data professional. Citizen data scientists might help to collect data. They might help to int...
Categories: News from Vendors

SHARE Providence Recap: IBM z14, ITOA, ITSI, SIEM & Machine Learning

Tue, 08/15/2017 - 13:30
Being a Floridian, I must admit that by August I do like to escape to an area that is just a little cooler and less humid than my home state. And even though I had to shorten my time at SHARE Providence to two days, it was still wicked awesome for me! SHARE Providence: Old Colleagues, New Trends I can’t believe how many old colleagues and friends I was able to catch up with at the event. We all said how good it was to see each other and how great we looked… and I almost believed it until I got b...
Categories: News from Vendors

Expert Interview (Part 4): Databricks’ Jules Damji on the Advantages of Moving Big Data Processing to the Cloud

Mon, 08/14/2017 - 13:30
We’ve been enjoying highlights the long conversation between Syncsort’s Paige Roberts and Jules Damji (@2twitme), the Spark Community Evangelist for Databricks. In today’s final installment of the four-part series, we’ll talk more specifically about Cloud platforms, and what the advantage is of doing big data processing and data analysis work on the Cloud, and some specifics about the Databricks cloud. Paige Roberts: You talked about the Databricks Cloud a bit. You guys have got a n...
Categories: News from Vendors

New eBook available: Ironstream® in the Real-World for ITOA, ITSI, SIEM

Sat, 08/12/2017 - 13:30
Wondering about the health of your IT infrastructure or how well your applications are performing? You can find out by analyzing and managing IT operational data to recognize regular patterns and detect anomalies. Our latest eBook reviews six real-world use cases that highlight how Ironstream® delivers mainframe data to Splunk analytics to support ITOA, ITSI and SIEM initiatives to help keep your data center running smoothly.   Download Ironstream in the Real-World for ITOA, ITSI, SIEM now to e...
Categories: News from Vendors

Expert Interview (Part 3): Databricks’ Damji Discusses Security, Cloud and Notebooks

Fri, 08/11/2017 - 13:30
Syncsort’s Paige Roberts recently caught up with Jules Damji (@2twitme), the Spark Community Evangelist at Databricks, and they enjoyed a long conversation. In Part 3 of this four-part interview series, we’ll look more at the importance of security to Spark users, the overwhelming move of a lot of Big Data processing to the Cloud, and what the Databricks Platform brings to the table. In case you missed it. In Part 1, we looked at the Apache Spark community. And, in the second post, we covered ho...
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Linux vs. z/OS: Which Is the Best Fit for Your Mainframe?

Thu, 08/10/2017 - 13:30
If you run an IBM mainframe today, you have to choose between two great operating systems options to power it:  Linux vs. z/OS. How do you decide? Here’s a guide to choosing the right operating system for your IBM mainframe. A (Very) Brief History of Mainframe Operating Systems If you have worked in the mainframe world for decades, you know that mainframes are much older than Linux-based operating systems. Mainframes originated in the 1940s. By the 1960s they had become common in business...
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Expert Interview (Part 2) with Databricks’ Damji: Spark + Hadoop = Artificial Intelligence = Science Fiction Becoming Reality

Wed, 08/09/2017 - 13:30
At this year’s Strata + Hadoop World, Syncsort’s Paige Roberts caught up with Jules Damji (@2twitme), the Spark Community Evangelist for Databricks and had a long conversation. In this second post of our four-part interview, they discuss the trend of the Spark and Hadoop technologies and communities merging over time, and how that’s creating a science fiction novel kind of world, where artificial intelligence is becoming commonplace. Paige Roberts: One thing I’ve noticed over the last few...
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Expert Interview (Part 1): Databricks’ Jules Damji on the Apache Spark Community

Tue, 08/08/2017 - 13:27
Back in March at Strata + Hadoop World, Syncsort’s Paige Roberts caught up with Jules Damji (@2twitme), the Spark Community Evangelist for Databricks, and had a long conversation. In today’s first part of this four-part series, we look at one of the important themes that came up again and again: the importance of the Apache Spark community to the continued development of Apache Spark. Over the next few days, we’ll publish additional highlights of that conversation including the depth of th...
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How Do You Get Data into Your Company DNA?

Mon, 08/07/2017 - 13:30
To make the most of Big Data and analytics, data management skills must permeate your business. Keep reading for tips on spreading data management best practices across all parts of your organization. It would be nice if sound data management required nothing more than hiring great data scientists or having the right data tools. Unfortunately, it’s more complicated than that. Sure, having data experts on your team and a great data management toolset in your organization’s portfolio ...
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New eBook: Archiving Mainframe Data for Regulatory Compliance

Sat, 08/05/2017 - 13:30
Meeting compliance in accordance to regulatory policies of how mainframe data is stored and accessed is a challenge for most organizations. Companies must balance compliance requirements with operating expenses. To offset the high data storage costs on the mainframe, many enterprises store massive amounts of mainframe data on tape. While this solution provides a budget-friendly storage alternative, it also creates a problem: the archived data becomes difficult to access. Our  new eBook, Archivin...
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SHARE Providence 2017: “Big Happenings in a Little Place Will be Wicked Awesome!”

Thu, 08/03/2017 - 13:30
I’m not sure I can recall SHARE ever being held in the smallest state in the union, but is there a better place for big happenings than New England in the summer? Besides, by the time we leave SHARE Providence 2017 we will all have adopted “wicked awesome” as part of our vocabulary. Like having the opportunity to meet new friends and catch-up with old colleagues to discuss recent advancements in the Z IBM mainframe world will be… “wicked awesome.” Headed to #SHAREpvd? Be sure to add these *wick...
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Why and How to Create an Agile Data Governance Policy

Wed, 08/02/2017 - 13:30
Your data is always changing, and your data governance policy needs to change, too. If it can’t, it’s not agile – and if it’s not agile, it won’t work in today’s IT environment. Here’s why and how to create a lean and agile data governance strategy. To understand what agile data governance means, let’s first define the two major terms that are at play in that phrase: Agile is a trending word in the IT world today. It refers to processes and tools that ...
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Understanding Data Quality: How Data Quality Errors Arise

Tue, 08/01/2017 - 13:30
Data quality is important to business. That you know. But do you understand what it takes to provide data quality In yesterday’s blog, we looked at one real-life example of a data quality failure. Today we’ll review how data quality problems can arise. Briefly defined, data quality refers to the ability of a data set to serve whichever need a company hopes to use it for. That need could be sending marketing materials to customers. It could be studying the market to plan a new produc...
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Anatomy of a Data Quality Failure

Mon, 07/31/2017 - 13:30
What does a data quality failure look like in the real world? Americans across the country found out recently when they received marketing offers for a product that was completely misaligned with their ages and genders. What Happened in this Data Quality Failure We won’t name the company that made this mistake because a mistake like this could happen to any company. The problem arose from a data quality shortcoming. Any business with lots of data can easily face this type of challenge. Su...
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De-Silo Your Mainframe Data to Regain Agility

Thu, 07/27/2017 - 12:51
Does your mainframe data live in a silo? If so, you’re undercutting your ability to use data to be agile. Here’s why that’s a problem, and how to fix it by bridging the Big Iron-Big Data divide. If you’re familiar with the DevOps movement, you probably already know what the words silo and agile mean within the context of IT. In case you don’t, here’s a quick primer. In DevOps-speak, any type of technology, process or group of people that operates in isolation...
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What is Data Quality? Explaining What Data Quality Actually Means

Wed, 07/26/2017 - 13:30
If you work with data, you’ve probably heard the term data quality more than a few times. But what is data quality? Do you know what data quality actually means, and what data quality analysts do? If not, this article’s for you. Data quality may not be quite as popular a buzzword as Big Data, but it’s an oft-used term in the data world. Data analysts like to remind everyone that having data quality is essential to derive value from data. If you’re wondering what is data ...
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Big Data 101: Dummy’s Guide to Batch vs. Streaming Data

Tue, 07/25/2017 - 13:30
Are you trying to understand Big Data and data analytics, but are confused by the difference between stream processing and batch data processing? If so, this article’s for you! Batch Processing vs. Stream Processing The distinction between batch processing and stream processing is one of the most fundamental principles within the Big Data world. There is no official definition of these two terms, but when most people use them, they mean the following: Under the batch processing model, a s...
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Notes from 2017 MIT CDOIQ Symposium: CDO’s, and Data, go Mainstream

Mon, 07/24/2017 - 13:02
During the conclusion of this year’s annual MIT Chief Data Officer and Information Quality Symposium (MITCDOIQ) held July 12-14 in Cambridge, MA, the organizers noted that the focus of the event was at last shifting from the rise and role of the CDO to a focus on the key, strategic business initiatives undertaken by the CDO and their organization.  But this shift was evident right from the start of the event – one featured session called this the process of “Shifting from Survival to...
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Data Governance Review: From Basics to the Latest News & Trends

Sat, 07/22/2017 - 13:30
Similar to last week’s Data Quality Study Guide, we wanted to continue to take advantage of the slower summer season to review the latest in data governance. Take a break from the heat and spend a few moments to get yourself caught up. New to Data Governance? If you’re just getting started, we’ve got the perfect data governance primer for you. This article explains the basics of developing an effective data governance process for taming unruly data. Data Governance + Data Qual...
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