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

Are you and your team considering all the facets of a new data management strategy? This 451 Research Pathfinder Report provides direction into what capabilities you should look for in a hybrid IT solution and outlines the questions that IT decision makers should ask themselves and their team when they evaluate company’s specifi

OTHER ON-DEMAND WEBINARS

10 Enterprise Analytics Trends to Watch in 2019

MicroStrategy

By 2025, IDC predicts the global datasphere will grow from 33 zettabytes currently to 175 zettabytes, with the majority of this data being managed and created by enterprise organizations. How will businesses make the most of all of this data? Watch this on-demand webcast to hear the trends that will drive both future success and disruption from today’s top thought leaders including: Ronald van Loon. Forrester’s Mike Gualtieri. Constellation Research’s Ray Wang and Doug Henschen.
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Modern Data Analytics: 7 Ways to Accelerate Business Insights

If there is anything that current events prove, it’s that analytics based on the quick delivery of up-to-date, trustworthy data is critical. But getting the right insight precisely when you need it demands more than a pretty visualization.
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Databases vs Hadoop vs Cloud Storage

mcknightcg

Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no. Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
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Data Privacy Using AI-Driven Data Catalogs

Do you have your Enterprise’s data privacy under control? Do you know what datasets are sensitive and who has access? Many companies are behind on privacy and regulatory compliance (GDPR, CCPA, etc.). Legacy tools and manual processes are inaccurate and error prone and can force you to choose between delaying data access by months, or increased compliance risk.
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Spotlight

Are you and your team considering all the facets of a new data management strategy? This 451 Research Pathfinder Report provides direction into what capabilities you should look for in a hybrid IT solution and outlines the questions that IT decision makers should ask themselves and their team when they evaluate company’s specifi

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