How to Modernize Data Lake Technologies with Cloud-Based Solutions

tdwi.org

Data lakes based on Hadoop technologies have proved themselves valuable in mission-critical use cases such as data warehousing, advanced analytics, multichannel marketing, complete customer views, digital supply chains, and the modernization of data management.Most Hadoop users are committed to the data lake method of managing data, but they are limited by Hadoop shortcomings in key areas such as cluster maintenance, administration cost, resource management, metadata management, and support for SQL and other relational technologies. Many view cloud-based solutions as the optimal replacement for their data lake, but they are not ready to make such a significant change. The truth is: they don't have to, as the two technologies can coexist.
Watch Now

Spotlight

What constitutes a “high-performing” accounts payable department? Benchmarks are often based on specific metrics such as how much it costs to pay each invoice or how long it takes to move an invoice from receipt to payment. These metrics are useful, but they tell only part of the story. Without true analytics, AP invoice processing isn’t providing its full value to the business. When data insights are applied to AP automation, attention can be shifted from tactical benefits to more strategic ones. Access to data intelligence can help organizations optimize their working capital, improve the ability to meet contractual obligations, and fuel process improvements.

OTHER ON-DEMAND WEBINARS

Workshop: Getting started with cnvrg.io data science platform

cnvrg.io is used across industries to help enterprises accelerate AI from research to production by simplifying DevOps and dependencies involved in building production-ready ML. Whether you’ve just begun the free trial, you’re a new user, or you’re interested in looking deeper into cnvrg.io features, we invite you to join us in a live workshop on how to get started using cnvrg.io.
Watch Now

Metadata Management for the Governance Minded

DATAVERSITY

Do you have data governance on your mind? Do you envision an environment where people are held formally accountable for the data they define, produce and use? Does metadata play a big role in that governed environment? Of course, it does. To manage any “thing” requires that you have quality information about that thing. Join Bob Seiner, of KIK Consulting and TDAN.com, with Gal Alon, Senior Director of Business Development for an industry leading metadata management automation software provider Octopai, as they discuss the who’s, what’s, why’s and how’s of automating and leveraging your metadata environment to successfully govern your organization’s data. Bob and Gal will spend the hour chatting about the role metadata management plays in data governance as well as discuss specific use cases to improve probability of Data Governance success.
Watch Now

How to Stay Ahead of a Crisis, and What to Do if You Can't

Imagine you’re a luxury brand releasing a product to a rapt and loyal audience. But instead of receiving rave reviews, your product incites controversy—and social chatter swells around that negative impression. Suddenly, the brand is making headlines that threaten its reputation and could alienate customers. How can you implemen
Watch Now

Designing a Successful Governed Citizen Data Science Strategy

datarobot

To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don’t know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents. In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing governance.
Watch Now

Spotlight

What constitutes a “high-performing” accounts payable department? Benchmarks are often based on specific metrics such as how much it costs to pay each invoice or how long it takes to move an invoice from receipt to payment. These metrics are useful, but they tell only part of the story. Without true analytics, AP invoice processing isn’t providing its full value to the business. When data insights are applied to AP automation, attention can be shifted from tactical benefits to more strategic ones. Access to data intelligence can help organizations optimize their working capital, improve the ability to meet contractual obligations, and fuel process improvements.

resources