InsideAnalysis

The blessing and curse of today's data culture is a plethora of technologies for managing information assets, making an optimal data architecture challenging. How do you declutter the sprawl, provide reliability and clarity with your data, and thus deliver accurate analytic insights to achieve ke business objectives? Join former Gartner Analyst and Author Sanjeev Mohan for a discussion about the findings from his latest book "Hitchhiker's Guide to Cloud Databases". He will be joined by Nir Livneh, veteran data architect and Founder/CEO of Equalum, and Eric Kavanagh, CEO of The Bloor Group.

Host Eric Kavanagh interviews Maurice Kherlakian of Hook Deck.

Original recording date: September 3rd, 2021

Host @eric_kavanagh interviews Javier Perez of Perforce, along with Harish Doddi of Datatron, and Krish Krishnan of Data Genius. They'll discuss the entire AI/ML stack, from the Linux foundation, to the platforms and tools necessary to leverage this next generation of enterprise technology. Attendees will learn how to pick the right horses in this increasingly competitive race.

The data warehouse has been an analytics workhorse for decades for business intelligence teams. Unprecedented volumes of data, new types of data, and the need for advanced analyses like machine learning brought on the age of the data lake. Now, many companies have a data lake for data science, a data warehouse for BI, or a mishmash of both, possibly combined with a mandate to go to the cloud. The end result can be a sprawling mess, a lot of duplicated effort, a lot of missed opportunities, a lot of projects that never made it into production, and a lot of financial investment without return. As time passes, companies are finding ways to combine the strengths of these two strategies and mitigate the weaknesses, inventing whole new ways to analyze data. Machine learning, advanced analytics, the movement to the cloud – these are all changing data architectures in unexpected ways. *Consider successful data architectures from companies like Philips, Simpli.fi, and The TradeDesk *Discuss the shifts in recent years as data lakes and data warehouses race to the middle *Dive into the impact advanced analytics, machine learning, and shifting analytics strategies are having on a wide range of industries *Look at how the movement to the cloud affects analytics, is everyone really going to the cloud?

Decisions, decisions! With the recent news about CentOS 8, businesses need to make up their minds quickly. Will CentOS Stream fill the void? What about other Linux distributions such as Rocky Linux, NavyLinux, Debian, Ubuntu, SUSE? And what implications are there for open source stacks? Databases, containers, runtimes, networking, and new transactional layers are redefining what's possible for the scale-out enterprise. Register for this special episode of #InsideAnalysis to hear Host @eric_kavanagh interview Javier Perez of Perforce, Joshua (JD) Drake of Command Prompt, Harish Doddi of Datatron, and Paul Gureghian of The Aerospace Corporation. They'll discuss a pragmatic approach to crafting workable roadmaps that solve for current needs, but also keep the door open for the next wave of innovation coming down the pike. And they'll offer specific recommendations for addressing security, scalability and cost.

Ever fear the upgrade? The pioneers who pushed for CentOS 8 sure feel that sting these days, ever since Red Hat and the CentOS community announced End of Life for the popular Linux distribution by December 31, 2021 -- ironically 8 years before its initial deprecation date. What's the impact of this decision for those in the crosshairs? And what can the market do more broadly to address such support volatility in the future? Register for this roundtable discussion as host Eric Kavanagh interviews Command Prompt founder Joshua Drake, Perforce Evangelist Javier Perez, and two special guests. They'll discuss the immediate scenario facing the CentOS community, what this all means for open-source practitioners, and how companies can make optimal decisions for keeping their mission-critical business applications running smoothly despite the turbulenc