System News
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Articles for the keywords: Data Warehousing
06 Mar 2017 Recharge Your Knowledge Of The Modern Data Warehouse [61323]
CIO, March 6th, 2017

"Data warehousing is evolving from centralized repositories to logical data warehouses leveraging data virtualization and distributed processing. Make sure you're not using old terminology to explain new initiatives...

Are you comfortable with source systems feeding ETL processes into operational data stores or master reference data through an enterprise service bus with the product, supply chain and business operational reports dumped into a presentation layer with soft analytics, dashboards, alerts and scorecards? That was yesterday.

Don't get caught, explaining your new data warehouse initiative with old terminology..."
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02 Mar 2017 10 Top Picks For Data Management Solutions [61067]
Information Management, March 2nd, 2017

'The Leaders quadrant includes five traditional large vendors that have had to adapt to this rapidly changing market,' Gartner notes. 'This year the push for cloud has affected the relative ratings among the Leaders and has also led to the inclusion of market disruptor AWS. The data warehouse is usually the largest data management system in most organizations and the market for them is therefore large in terms of revenue, trained professionals and the variety of data management solutions (ranging from simple to complex). However, while data warehousing continues to be a major use case it has declined in importance, forcing the leading vendors to address new trends - such as data lakes and context-independent data warehouses - focusing on data science uses cases.'
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01 Mar 2017 The Changing Data Landscape [61069]
insideBIGDATA, March 1st, 2017

This is the second entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and realizing a scalable data lake, as well as offerings from HPE for big data analytics. The second entry in the series is focused on the changing data landscape.

"Large enterprise customers have made huge investments in data warehousing technology over the past decade. The cost of upgrading and adding new data warehouse licensing is cost prohibitive. Technologies like Hadoop and Spark offer organizations the option of accruing a greater ROI on existing data warehouse resources, by providing a data processing platform to offload Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workloads from the data warehouse and to reduce the cost of storing and accessing less frequently used data..."
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20 Feb 2017 Stop Overdoing It When Cleaning Your Big Data [60907]
TechRepublic, February 20th, 2017

"Enough is enough--your big data might actually be getting too clean. Find out why it can be useful to keep bad, garbage data...

When you got a job as a data scientist, I bet you didn't imagine you'd spend so much time cleaning up bad data. Don't feel badly - none of us did.

When data science rolled on the scene, many of us who were already in the data warehousing and business intelligence fields thought we'd entered a new era where sophisticated algorithms and artificial intelligence was the order of the day. To a certain extent that's where we went, but we were never fortunate enough to get rid of that grimy aspect of the job: data cleansing..."
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01 Nov 2016 Data Warehousing in the Cloud - Part 3 [57625]
By Keith Laker

Keith blogs, "In my last post I looked at Oracle's Cloud Services for data warehousing and described how they are based around engineered systems running the industry's #1 database for data warehousing, fully optimised for data warehousing workloads and providing 100% compatibility with existing workloads. Most importantly, Oracle customers can run their data warehouse services on-premise, in the Cloud or using hybrid Cloud using the same management and business tools.

I also looked at how Oracle's Cloud Services for data warehousing are designed to simplify the process of integrating a data warehouse with cutting edge business processes around big data. Oracle Cloud offers a complete range of big data services are available to speed up the monetisation of data sets: Oracle Big Data Cloud Service, Big Data Preparation Cloud, Big Data Discovery, IoT Cloud..."
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