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Five Minute Briefing - Information Management
May 12, 2021

Five Minute Briefing - Information Management: May 12, 2021. A concise weekly report with key product news, market research and insight for data management professionals and IT executives.

News Flashes

Grant Fritchey, DevOps advocate, Redgate Software, believes that DevOps is all about a cultural change to how you manage your IT resources. The biggest challenge when implementing DevOps is learning all the necessary tooling in support of automation. During his Data Summit Connect 2021 presentation, "Automating AWS Database Deployments," he showed the tools and mechanisms needed to get databases deployed through AWS, with additional steps and tools within AWS to expand the complexity and functionality of the database deployment process.

The second day of Data Summit Connect 2021 opened up with presentations by Seth Earley, Founder and CEO, Earley Information Science and author, "The AI-Powered Enterprise," and Kevin Kline, Head Geek, SolarWinds, who discussed the importance of data and how to governance can help organizations drive decisions with data.

While the relationship between an agile organization and its success in the marketplace is clear, the competitive marketplace is tougher than ever, with technology-savvy innovators entering industries and challenging existing enterprises. At Data Summit Connect 2021, Paul Bartak, distinguished engineer, Rocket Software, discussed the core components to provide Db2 for z/OS DBaaS during his presentation, "Database as a Service Comes to the Enterprise."

Data lakes are one of the fastest growing trends in managing big data across various industries. However, the rise of event streaming has created a new technology category for stream processing using frameworks like Apache Flink and Kafka Streams. Nishith Agarwal, engineering manager, Uber, and Sivabalan Narayanan, senior software engineer, Uber discussed "Apache Hudi: The Streaming Data Lake Platform" during their Data Summit Connect 2021 presentation.

The one-size-fits-all RDBMS has given way to an explosion of diverse data management technologies. In a  session titled "Next-Generation Databases" at Data Summit Connect 2021, Guy Harrison looked at the history of data management from the mainframe through Hadoop to blockchain and considered the utility of  new database technologies for leveraging data assets, and speculated on how these will evolve to meet tomorrow's data needs.

What exactly is MLOps, and why does it matter for the business? At Data Summit Connect 2021, Skander Hannachi, AI/ML specialist at Google Cloud, provided an overview of MLOps, how it is used, and why business stakeholders should care.

Machine learning (ML) is today's big buzzword, but most organizations struggle with turning ML into business value. Everyone wants it, but very few can cost-effectively turn it into reality. Lynda Partner, a self-described "data addict" and SVP of analytics and offerings, Pythian explored how to accelerate getting to value with machine learning during her Data Summit Connect 2021 presentation, "Machine Learning: Making It Real, Making It Profitable."

As software infrastructure is stretched between on premise, public clouds, and hybrid clouds, keeping software in compliance is a significant challenge. Michael Corey, co-founder, COO, LicenseFortress and Don Sullivan, product line manager, business critical applications, VMware discussed current software license trends, the difference between Oracle policy and your contractual obligations, licensing Oracle on a virtualized environment, and licensing best practices, during their Data Summit Connect 2021 presentation, "Database Licensing: Best Practices and Pitfalls."

With the advent of big data, it has become well-understood that information is a foundational part of a company's strategic decision making. At Data Summit Connect 2021, Jairo Gomez, senior manager, infrastructure & technology, ACAMS—Association of Certified Anti-Money Laundering Specialists, explained how to use data cleansing and enrichment solutions to assess and improve the quality of data. Critical to data processes, he said, is the establishment of a comprehensive data governance methodology and identifying the ground rules for the collection, processing, transformation and maintenance of data.