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Insights, trends, and best practices in driving data transformation, upskilling, and building data cultures

DataCamp

We’ve compiled a list of resources to inform your data transformation, data culture initiative, and data upskilling. Explore these webinars and white papers.

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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow. Now, we shift focus on the needs of developers and addressing the challenges they face when building dataflows in the cloud. Enabling self-service for developers.

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Assessing and interviewing data engineers from a distance

Insight

Since 2014, Insight been successfully running a fully distributed and fully remote interviewing process that has helped us sift through thousands of applications and identify top-tier candidates who have joined our Fellowship programs and gone on to work as data engineers at Netflix, Facebook, Vanguard, Apple, Bosch, and others.

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The What & Why of Data Governance

erwin

But when IT-driven data management and business-oriented data governance work together in terms of both personnel, processes and technology, decisions can be made and their impacts determined based on a full inventory of reliable information. You can request a demo of erwin Data Intelligence here. Join us March 15 at 10 a.m.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape.

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Understand PMML (It’s Not That Hard)!

Smarten

To accomplish this interchange, the method uses data mining and machine learning and it contains components like a data dictionary to define the fields used by the model, and data transformation to map user data and make it easier for the system to mine that data. PMML is Predictive Model Markup Language.

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Why Data Lineage is Key to the LIBOR Transition

Octopai

In fact, the LIBOR transition program marks one of the largest data transformation obstacles ever seen in financial services. Building an inventory of what will be affected is a huge undertaking across all of the data, reports, and structures that must be accounted for. Like any data project, it boils down to the details.