How to Use Data Prep to Accelerate Cloud Data Lake Adoption

tdwi

What began as a trickle is now the mainstream: Organizations are moving to the cloud for data management. No longer is the cloud just a cheaper place to park data; it is key to supporting business-critical innovation in advanced analytics, data science, and AI as well as for end-user business intelligence, data exploration, and data visualization. Data lakes and data warehouses running on market-leading platforms such as AWS are growing fast, just as they are on the platforms of competing providers. However, as cloud-based workloads grow in number and size, organizations are facing difficult data preparation challenges. The flow of data raw, diverse, and frequently unstructured can quickly turn cloud data lakes into impenetrable swamps. Without good data preparation technologies and practices, users of all types are frustrated; their productivity and satisfaction suffer because it’s too hard to get accurate data that’s appropriately transformed and structured for their purposes.
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Spotlight

This research was commissioned by Nesta, and is part of an ongoing project to create internationally comparable statistics on the size, growth and geography of the creative economy. Thanks to Hasan Bakhshi and John Davies at Nesta for feedback, to Douglas Cameron, formerly at DCMS and Sean Milburn at ONS for assistance on Annual Population Survey and EU Labour Force Survey queries. Thanks also to Havard Lien, Fabienne Montaigne, Livio Dellabate, David Steffes and Tereza Wennerholm of Eurostat for their help with the EU data, and to Enrico Giovannini for his help and comments. This work includes analysis based on data from the Annual Population Survey, produced by the Office for National Statistics (ONS) and supplied by the UK Data Service. The data is Crown copyright and reproduced with the permission of the controller of HMSO and Queen’s Printer for Scotland. The use of the ONS statistical data in this work does not imply the endorsement of the ONS in relation to the interpretation or analysis of the data.

OTHER ON-DEMAND WEBINARS

Applying Governance to Business Processes

dataversity

The most effective way to formally govern business processes is to apply governance to the process rather than redefine the entire process. This is one of the core tenets to Non-Invasive Data Governance and it assumes that your business processes are defined in the first place. In this month’s RWDG webinar, Bob Seiner will address how to apply formal Data Governance to existing processes and how to engage governance communities when defining new business processes. There is a distinct advantage to taking the Non-Invasive Approach to apply governance to business processes and Bob will detail this advantage during this month’s webinar.
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Addressing Big Data Challenge Hadoop way

Xoriant Corporation

Are you unsure of how to leverage Big Data and select among the many technologies surrounding it? Don't worry - you aren't alone. Here and watch this video to know how you can address the Big Data challenges using Hadoop.
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Strategies for Transitioning to a Cloud-First Enterprise

McKnight Consulting Group

A great comfort with cloud deployment has emerged. Businesses are migrating databases to the cloud or building databases there as a result of scale challenges with the on-premises model, the cloud becoming the “center of gravity”, on-premises databases reaching capacity or emerging uses cases that are specific to the cloud. But not all organizations! And some struggle mightily with the move!Learn about the factors that impact organizations when shifting data and applications to the cloud. What must you consider as you move significant applications and data to the cloud? This webinar will cover the major decision points that management needs to consider when moving to the cloud. These include changes to the software model, development and quality assurance, recovery outage, and disaster recovery as well as new concerns about query performance and service levels, data interchange in the cloud, safe harbor and cross-border restrictions, and security and privacy.
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Modern Data Analytics in the Cloud: Achieving an End-to-End Strategy

TDWI

Businesses today need fast, scalable, and agile data and analytics, and cloud-based solutions are proving critical to satisfying these requirements. They enable organizations to rapidly and easily spin up systems and services for collecting, managing, and analyzing data. More important, cloud-based solutions deliver value from “data gravity”the surging volumes of new data created in the cloud by social media, the IoT, multichannel customer behavior, and other activity.
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Spotlight

This research was commissioned by Nesta, and is part of an ongoing project to create internationally comparable statistics on the size, growth and geography of the creative economy. Thanks to Hasan Bakhshi and John Davies at Nesta for feedback, to Douglas Cameron, formerly at DCMS and Sean Milburn at ONS for assistance on Annual Population Survey and EU Labour Force Survey queries. Thanks also to Havard Lien, Fabienne Montaigne, Livio Dellabate, David Steffes and Tereza Wennerholm of Eurostat for their help with the EU data, and to Enrico Giovannini for his help and comments. This work includes analysis based on data from the Annual Population Survey, produced by the Office for National Statistics (ONS) and supplied by the UK Data Service. The data is Crown copyright and reproduced with the permission of the controller of HMSO and Queen’s Printer for Scotland. The use of the ONS statistical data in this work does not imply the endorsement of the ONS in relation to the interpretation or analysis of the data.

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