DataOps is emerging as a methodology for data scientists, developers, and other data-focused professionals to enable an agile workflow that helps increase creativity and speed while also adhering to data governance requirements.

Big Data, similar to relational data stores, experiences the challenges of data gravity, both the attraction and the weight, which cause friction and can be detrimental to development and testing teams’ ability to get the data they need to be successful. Hear how to move from simple DevOps with tools and automation, while making the data central to the solution and removing it as the pain point.

When looking to a data-driven future, consider modern analytical techniques to guide you.

Multiparadigm Data Science is a new approach of using modern analytical techniques, automation, and human-data interfaces to arrive at better answers with flexibility and scale. Many organizations are still doing traditional data science -- confining themselves to problems that are answerable with traditional statistical methods -- rather than utilizing the broad range of interfaces and techniques available today. This session covers the basics of Multiparadigm Data Science, including automated machine learning, interactive notebooks and report generation, natural language queries of data for instant visualizations, and implementing neural networks with ease and efficiency.

Two days from now, on May 25, 2018, the EU’s General Data Protection Regulation (GDPR) becomes effective and bring a significant shift in how data is obtained, managed, processed, and disposed of.

Big Data and even bigger marketing have been the rallying cry of most organizations over the past decade. The premise has been that the more data we can gather, hold, and exploit, the more fiscal return on investment there would be—either through straight-up analytics, advertisement sales, or direct targeting. But what happens in a world where products and pricing are overcome with privacy and personal value? Podnar addresses the need to govern Big Data in the context of laws and regulations, especially GDPR, and what tactics you can effectively adopt to succeed in this new privacy and regulatory world.

While some believe that blockchain is the most secure solution ever to come along, others think it is just a passing fad that puts essential data at risk. Get up-to-speed on the new world of blockchain.

Blockchain is a distributed ledger technology that is most commonly known for enabling the cryptocurrencies and payment networks. Infosys and Oracle are leaders in enabling the infrastructure for blockchain-supported applications. Oracle Blockchain Cloud Service supports real-time secure transactions and regulatory compliance, reduces operations costs and fraud, and offers a pre-assembled platform.