Data Catalogs are Essential But Can they be Fun?

alation.com

In an age of data lakes, enterprise data catalogs are becoming a necessity. Done right, machine learning data catalogs can facilitate discoverability and ensure compliance while fostering the user engagement needed to build a robust data culture. In this webinar, Andrew Brust, analyst at GigaOm Research, and Aaron Kalb, co-founder and chief data officer at Alation, discuss why people are an essential part of successful self-service analytics, and how data catalogs can help foster collaboration and analytics enthusiasm.
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Spotlight

Take a journey away from siloed, slow, and reactive IT operations to machine-learning driven automation with a platform that connects, senses and adapts to your environment. Deploy vRealize Operations to continuously assure performance, optimize for business impact, and become proactive.

OTHER ON-DEMAND WEBINARS

Financial Analytics Fundamentals Use Data Science And Analytics In BFSI

analyticsindiamag

For a data analyst, financial analytics is one of the most useful skill sets to inculcate given the rapid growth of roles in this booming sector. A specialisation in this field will be a value-add given the rapid rise of fintech in India’s digital ecosystem. Financial analytics helps companies uncover deeper insights into the company’s finances and can help in finding pain points and new streams of revenue. Financial Analysts work in investment firms, banks, insurance sector and digital payments companies.
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Data Storytelling With Multiexperiences

Gartner

Discussion Topics: - What is a data story - When and how should data storytelling be used - Which new skills and techniques do you need to create compelling data stories - Which experiences can help tell your story beyond dashboards on a 2D screen
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Modernizing Data Architecture With Streaming CDC

Modernising Data Architecture with Streaming CDC Expanding analytics requirements have increased the appetite for massive data volumes. However, these data flows can create bottlenecks, preventing timely and modern analytics innovations such as machine learning. This is where streaming Change Data Capture (CDC) comes in.
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Building a Modern Operational Data Warehouse

tdwi.org

With data coming from so many different sources nowadays (both old and new, both internal and external), it is inevitable that data will arrive in many different structures, schema, and formats, with other variables for latency, concurrency, and requirements for storage and processing. When data types are extremely diverse and combined, we now call it “hybrid data.” This usually drives users to deploy many types of databases and different platforms to capture, store, process, and analyze the data, which in turn results in hybrid data management architectures.
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Spotlight

Take a journey away from siloed, slow, and reactive IT operations to machine-learning driven automation with a platform that connects, senses and adapts to your environment. Deploy vRealize Operations to continuously assure performance, optimize for business impact, and become proactive.

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