Blogs

Blogs

Data Management

Blend, cleanse and prepare data for analytics, reporting or data modernization efforts

Data Management

Dream data warehouse abstract image

Fiona McNeillOctober 23, 2015 0

Fields and dreams of data warehousing

“Field of dreams warehouse”– a historic phrase I used in the early days of data warehouse development. It describes the frenzy of activity that took place to create enterprise data infrastructure, before the business rationale for the data use was even understood. Those were the early days. In some ways

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Data Management

Joyce Norris-MontanariOctober 22, 2015 0

Is your data self-service?

I don’t know about you, but I'm asked every day where some type of data lives in our enterprise. I keep thinking that we have not done a good job of helping people learn to help themselves! A few things I have learned about corporate data assets are: The data

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Data Management

Brooke FortsonOctober 21, 2015 0

How does SAS integrate with Hadoop?

How does SAS integrate with Hadoop? That's a question we often hear from people new to SAS who want to learn more about using SAS with Hadoop. At Strata + Hadoop World earlier this month, we were able to not only talk to attendees to answer their questions -- we were able to show

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Data Management

businesswoman considering data lakes and hadoop

Jim HarrisOctober 21, 2015 0

Big data quality – Part 3

Jim Harris explains why it's especially important to assess the quality of metadata when it comes to big data.

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Data Management

SAS ColombiaOctober 20, 2015 0

Data Management y hadoop: claves para una integración de datos exitosa

La integración del Big Data en los procesos y programas de gestión de datos existentes se ha convertido en algo así como una llamada de alerta para las organizaciones en su afán de convertirse en empresas del siglo XXI. Jim Harris, blogger y obsesivo-compulsivo del Data Quality, nos da estos

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Data Management

Abstract image of big data around the world

Dylan JonesOctober 16, 2015 0

Has Big Data had its day?

No one knows for sure who coined the term Big Data. Despite etymological studies, we are still no closer to attributing provenance to any one person, or indeed any one period. Some say the term was coined in the '80s, others believe the '90s – and many are convinced the term originated

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Data Management

Zoe Jewell and Sky AlibhaiOctober 14, 2015 0

Fighting extinction with high-tech tools

In today’s brave new technological world, most of us live cocooned in thermo-regulated cars and buildings. Our food and drink is on tap, and we experience little inconvenience beyond death and taxes. It’s easy to forget that life as we know it would come to an abrupt halt without the

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Data Management

students using new tools to understand streaming data

Jim HarrisOctober 14, 2015 0

Big data quality – Part 2

Jim Harris discusses perspectives on the question of how much quality big data really needs.

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Data Management

Caroline HermonOctober 14, 2015 0

Sizing: the long and short of it

Sizing is a topic that solutions managers typically leave until the end after decisions about the application have been settled. But there are often many variables that can impact the final size requirement. We have seen across our customer base that sizing and the number of environments has been determined

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Data Management

Joyce Norris-MontanariOctober 9, 2015 0

Data integration methods

There are many ways to do data integration. Those include: Extract, transform and load (ETL) – which moves and transforms data (with some redundancy) from a source to a target. While ETL can be implemented (somewhat) in real time, it is usually executed at intervals (15 minutes, 30 minutes, 1

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Data Management

mature businesswoman considers two different types of MDM

Jim HarrisOctober 7, 2015 0

Big data quality – Part 1

Jim Harris addresses some of the most common questions and challenges big data poses for data quality.

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Data Management

Phil SimonOctober 2, 2015 0

Overcoming the IT-Business Divide in an era of big data, Part 3

.@philsimon on bridging the IT-business divide once and for all.

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Data Management

Dr. Laurie MilesOctober 1, 2015 0

Three tips for building a data scientist team

If I were to believe the feedback I get, statisticians are among the most difficult people to work with. What’s more, they’re the only group that should be allowed to work in data analytics. It sounds harsh, but this may explain why big data projects continually fail. Businesses need statisticians who are both

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Data Management

Matthew MagneSeptember 29, 2015 0

SAS Data Management helps organizations boldly go where no one has gone before

As a youngster in the 70s and 80s, Star Trek inspired my imagination and fostered a great love for science, technology and reading. (See the embedded Star Trek infographic for some interesting factoids – did you know that there were 28 crew member deaths by those wearing red shirts?) Captain Kirk and the

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Data Management | Internet of Things

IoT in Transportation

Lee Ann DietzSeptember 28, 2015 0

Transporting analytics to the Internet of Things

Why are so many companies across a diverse set of industries investing in and around the Internet of Things? Everywhere I go, every blog I read … I sound like my favorite band from the 80s: the Internet of Things is watching me. In reality, it’s the reverse: I'm seeing

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Data Management

Brad SitlerSeptember 25, 2015 0

The top 10 use cases for analytics in high-growth health technologies

Healthcare IT News recently published an article on 18 health technologies poised for big growth, a list culled from a HIMSS database. The database is used to track an extensive list of technology products that have seen growth of 4-10 percent since 2010, but have not yet reached a 70

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Data Management

Arun C. MurthySeptember 24, 2015 0

Apache YARN to become “the operating system for your data”

It’s been an amazing journey with Hadoop. As we discussed in an earlier blog, Hadoop is informing the basis of a comprehensive data enterprise platform that can power an ecosystem of analytic applications to uncover rich insights on large sets of data. With YARN (Yet Another Resource Negotiator) as its

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Data Management

Phil SimonSeptember 23, 2015 0

Overcoming the IT-Business divide in an era of big data, Part 2

.@philsimon on the new role of IT.

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Data Management

Brooke FortsonSeptember 22, 2015 0

Meet your SAS #StrataHadoop Team: Derek Hardison

A week from today, we'll be in New York City for Strata + Hadoop World, where we’ll kick things off at the Opening Reception. Be sure to stop by booth 543 to meet the team IRL (in real life)! They are excited about the event and eager to talk with attendees.

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Data Management

Stuart RoseSeptember 22, 2015 0

The final countdown… and beyond

It’s rather appropriate that the rock band Europe recorded the hit “The Final Countdown”, because today, September 22nd, represents 100 days until the much anticipated (and delayed) European insurance legislation Solvency II will come into effect on January 1st 2016. Designed to introduce a harmonized, EU-wide insurance regulation, Solvency II

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Data Management

Phil SimonSeptember 21, 2015 0

Overcoming the IT-Business Divide in an era of big data, Part 1

.@philsimon on the new challenges of an old problem.

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Data Management

Brooke FortsonSeptember 18, 2015 0

Meet your SAS #StrataHadoop Team: Dan Zaratsian

It’s me again!! We're at the halfway point of meeting our Strata + Hadoop World dream team. So far, you’ve met machine learning guru Patrick Hall; data management expert Clark Bradley; and advanced analytics specialist Rachel Hawley. Next up … Dan Zaratsian! I met Dan a few years back while preparing for Analytics 2013

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Data Management

Dylan JonesSeptember 16, 2015 0

Big data integration - A good starting point for data governance?

In the UK, technology trends move a little slower than for our US counterparts. It was about 5 years ago when I first met a data leader at a conference on this side of the pond who was actively engaging in large scale big data projects. This wasn’t a presenter

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Data Management

Joyce Norris-MontanariSeptember 14, 2015 0

Data integration – Job skills required for success

Data integration, on any project, can be very complex – and it requires a tremendous amount of detail. The person I would pick for my data integration team would have the following skills and characteristics: Has an enterprise perspective of data integration, data quality and extraction, transformation and load (ETL): Understands

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Data Management

Brooke FortsonSeptember 11, 2015 0

Meet your SAS #StrataHadoop Team: Clark Bradley

Meet Clark Bradley: SAS technical architect by day and comedian by night. When he’s not demoing SAS Data Loader for Hadoop, he’s blogging about it on The Data Roundtable. Clark and a core SAS team of thought leaders, developers and executives will be in New York City on September 29 at Strata

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Data Management

David LoshinSeptember 8, 2015 0

Big data modeling: An iterative approach - Part 1

In my prior two posts, I explored some of the issues associated with data integration for big data and particularly, the conceptual data lake in which source data sets are accumulated and stored, awaiting access from interested data consumers. One of the distinctive features of this approach is the transition

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Customer Intelligence | Data Management

Kelly McGuireSeptember 4, 2015 0

Back to the Basics Part One: An analytics primer for hoteliers

with Natalie Osborn, Senior Industry Consultant, Hospitality and Gaming Practice, SAS. It’s back to school time, and back to school reminds me of getting back to the basics. So, we thought we’d start the fall with a “back to the basics” refresher series on analytics. To accomplish this, Natalie and

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Data Management

Georgia MarianiSeptember 3, 2015 0

Education Meets Big Data: The benefits of an SLDS

This is my final entry in the Education Meets Big Data blog series. Let’s review what we've covered so far… In my first post, I explained that statewide longitudinal data systems (SLDSs) track student data from preschool through college and workforce across the state. SLDSs can be used to see one

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Data Management

Jim HarrisSeptember 2, 2015 0

Tips for successful big data integration

Integrating big data into existing data management processes and programs has become something of a siren call for organizations on the odyssey to become 21st century data-driven enterprises. To help save some lost time, this post offers a few tips for successful big data integration.

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