Data Modeling: Learn How to Convert Schema on Read Into Schema on Write

If you missed out on all the trends for 2019 published in December, or even if you caught some of them, this one merits your time. We’ll be going into 2019 and beyond, since the winners will have an eye on the long view for the source of competitive advantage that is analytics. It is a fascinating, explosive time for enterprise analytics. It is from the position of analytics leadership that the mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics.

In this ODI Inside Business webinar you’ll discover how you can help your business work towards six critical outcomes that together contribute to developing a brand that is trusted with data.

In this latest Data Science Central Deep Learning Fundamentals Series webinar, we will cover the fundamentals behind TensorFlow and how to apply them within a convolutional neural network (CNN) example. The principles we will cover include CNN concepts and their impact to the accuracy and loss of your network. All these concepts will be brought to life by demonstrating how Databricks simplifies deep learning - letting you quickly access ready-to-use ML environments, as well as prepare data, and train models faster. After this session, if requested, you will receive the presentation and associated notebooks so you can run the samples yourself.

Organizations across the world are onboarding digital initiatives, especially in the changed world after COVID-19. Learn now you can lead the business growth and modernization with effective Data governance initiatives to drive your digitization efforts. It is uncommon that information in silos due to data spread across different business applications, databases, and repositories across the organization, leading to slower digital initiatives. Learn how effective data governance can help to fast track data quality, master data, policy automation, regulatory and privacy compliance can help reduce costs, time to market, improve customer experience and contribute to business growth.