Today, I was in a conversation about using Hadoop (a big data platform) for master data management (MDM). I still find it amazing when we have the discussion of what systems feed another system. Many of our friends have spent years creating MDM for customer, product, etc. with success. I'm a
Tag: hadoop
![MDM and Hadoop – Part 1 man evaluating MDM and Hadoop](https://blogs.sas.com/content/datamanagement/files/2016/06/42-30530755.jpg)
How many companies are using Hadoop as part of their master data management initiative? Come on, raise your hands! Well, maybe a better question is this: How many companies are using Hadoop for enterprise data? From what I have seen, Hadoop is coming along quite nicely. However, it may not be the
![Leveraging the data lake concept for data modernization waterfall represents data pouring into data lake](https://blogs.sas.com/content/datamanagement/files/2016/06/562778799.jpg)
More and more organizations are considering the use of maturing scalable computing environments like Hadoop as part of their enterprise data management, processing and analytics infrastructure. But there's a significant difference between the evaluation phase of technology adoption and its subsequent production phase. This seems apparent in terms of how organizations are
![Does MDM need to be part of your data strategy? woman contemplating MDM](https://blogs.sas.com/content/datamanagement/files/2016/05/322787954.jpg)
.@philsimon on the role of MDM. TLDR: It depends.
![Streaming data analytics: A better way to fight fraud and cybercrime confident woman fighting fraud and cybercrime with streaming data](https://blogs.sas.com/content/datamanagement/files/2016/05/533979685.jpg)
The numbers are daunting. More than 40 million Americans have their identities stolen each year. Credit card companies lose more than $200 billion annually due to fraud. Cybercrime-related losses exceed $3 million per claim for large companies. If you’re like me, those stats are enough to give pause. To fuel the concern,
![Can SAS Data Management get you to soccer on time? soccer kid and common data quality issues](https://blogs.sas.com/content/datamanagement/files/2016/04/87790908.jpg)
A soccer fairy tale Imagine it's Soccer Saturday. You've got 10 kids and 10 loads of laundry – along with buried soccer jerseys – that you need to clean before the games begin. Oh, and you have two hours to do this. Fear not! You are a member of an advanced HOA
![SAS Event Stream Processing with Hortonworks – The future is now satisfied man at computer](https://blogs.sas.com/content/datamanagement/files/2016/03/WFP0024375.jpg)
Even the most casual observers of the IT space over the last few years are bound to have heard about Hadoop and the advantages it brings. Consider its ability to store data in virtually any format and process it in parallel. Hadoop distributors, such as Hortonworks, can also provide enterprise-level
![Top 5 data quality mistakes organizations make two people looking at data quality mistakes](https://blogs.sas.com/content/datamanagement/files/2016/03/82795710.jpg)
.@philsimon lists the gravest data-quality errors.
![Finding the balance between short- and long-term big data storage balanced scale](https://blogs.sas.com/content/datamanagement/files/2016/02/100715842.jpg)
Back before storage became so affordable, cost was the primary factor in determining what data an IT department would store. As George Dyson (author and historian of technology) says, “Big data is what happened when the cost of storing information became less than the cost of making the decision to
![Where does Hadoop fit into an effective data strategy? elephant](https://blogs.sas.com/content/datamanagement/files/2016/01/487702715.jpg)
.@philsimon on the convergence between tools such as Hadoop and strategy.