Designing, Operating and Managing an Enterprise Data Lake

June 5-6, 2019 | Italy

The Designing, Operating and Managing an Enterprise Data Lake looks at the challenges faced by companies trying to deal with an exploding number of data sources, collecting data in multiple data stores, multiple analytical systems and at the requirements to be able to define, govern, manage and share trusted high quality information in a distributed and hybrid computing environment.

Spotlight

The complexity of data supply chains and the technical infrastructures to manage them are growing every minute. Businesses are forced to be at the top of their game to leverage data to better the business and offer solutions that deliver results based on their understanding of data. Over the past decade, we have mastered building the plumbing infrastructure,but have also realized that this is just not sufficient anymore to tackle today’s business problems. The hidden signals that are mined when seemingly unrelated data elements are brought together need to be orchestrated so that the business can make intelligent, data-driven decisions. However, understanding signals or correlations acrosstime series data and dimensions is not a simple job. In most organizations, neither IT nor business has the capabilities to search for these needles in the haystack, let alone discover the correlations. Technology, math and business skills need to be combined to solve this problem. Technical solutions that utilize data lakes solve the data access problem, but leave the crucial understanding of the issues to only a few advanced users and data scientists. In this article, we discuss a method of defining and using data assets as afoundation block for faster and flexible analytics solutions.


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Big Data London

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The world’s largest data and AI conference returns live, June 27-30 in San Francisco and virtually in our new hybrid format. Four days packed with keynotes by industry visionaries, technical sessions, hands-on training and networking opportunities.

Gartner Data & Analytics Summit 2022

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Eligibility for the public-sector price will be verified; proof of public-sector status will be required. Price cannot be applied retroactively. “Public sector” definition: National government, state or local government, public administration.

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Gain knowledge, get inspired, and experience a unique conference that brings data and analytics to life as only Disney can. The Disney Data & Analytics Conference (DDAC) has a rich history of delivering exceptional content focused on data and analytics to business professionals of all backgrounds. From engaging breakout sessions to interactive networking opportunities, we’re confident you’ll see examples of how data-based, analytical decisions work in all areas of business.

Spotlight

The complexity of data supply chains and the technical infrastructures to manage them are growing every minute. Businesses are forced to be at the top of their game to leverage data to better the business and offer solutions that deliver results based on their understanding of data. Over the past decade, we have mastered building the plumbing infrastructure,but have also realized that this is just not sufficient anymore to tackle today’s business problems. The hidden signals that are mined when seemingly unrelated data elements are brought together need to be orchestrated so that the business can make intelligent, data-driven decisions. However, understanding signals or correlations acrosstime series data and dimensions is not a simple job. In most organizations, neither IT nor business has the capabilities to search for these needles in the haystack, let alone discover the correlations. Technology, math and business skills need to be combined to solve this problem. Technical solutions that utilize data lakes solve the data access problem, but leave the crucial understanding of the issues to only a few advanced users and data scientists. In this article, we discuss a method of defining and using data assets as afoundation block for faster and flexible analytics solutions.

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