Joe Goldberg, BMC | BigDataNYC 2016
01. Joe Goldberg, BMC, Visits #theCUBE!. (00:21) 02. What Is BMC Doing Inside Of Big Data. (00:45) 03. Give Us Your Perspective On Early Days Of Hadoop. (02:08) 04. How Has Spark Changed The Business. (05:59) 05. How Does The Tention Between Experimentation And Maturity Impacting Applications. (09:10) 06. Do You Have To Take The Data From The Subsystems Something For The Business. (12:25) 07. What Is The Problem Statement That Customers Are Stating To You. (15:23) 08. Put A Bumper Sticker On The Segment. (16:40) Track List created with http://www.vinjavideo.com. --- --- Evolving Big Data tools lead to innovation: Enter Control-M | #BigDataNYC by Teryn O'Brien | Sep 28, 2016 Managing technology assets for the enterprise, BMC Software finds itself ushering clients into the digital era. The company is now focusing on a number of Digital Enterprise Management (DEM) initiatives, including a Big Data initiative called Control-M. Joe Goldberg, innovation evangelist at BMC Software Inc., spoke with Dave Vellante (@dvellante) and Peter Burris (@plburris), cohosts of theCUBE, from the SiliconANGLE Media team, during BigDataNYC 2016 to talk about BMC’s latest Big Data initiative. Big data initiative: Control-M Control-M is BMC’s DEM initiative that is specifically focused on Big Data. “Control-M as a product or as a solution manages business application workflows in batch,” described Goldberg. Hadoop 1 was 100 percent batch, he said, so BMC’s customers were naturally wanting to leverage that technology. Even with Hadoop 2,” there’s still a tremendous amount of batch,” said Goldberg. BMC is coming at this from the enterprise perspective and already supports all traditional technologies. “We bring all of that maturity that we have been developing over years and years and have applied that to Big Data and Hadoop,” said Goldberg. An evolution of data, still many similar problems “We see this really as kind of an evolution,” said Goldberg. “There’s richer tools, more powerful tools … and the tools are kind of matching the trajectory of data and volume.” However, as enterprises are dealing with more data, the balance is still the same in terms of the business challenges enterprises are facing, according to Goldberg. While there is experimentation, many companies are using Big Data technology to modernize “their existing … data management and data infrastructure.” Ultimately, technology is still about meeting their business goals, said Goldberg. “Ultimately, the business needs work done; they have business priorities. They need to able to as early as possible identity potential problems; they need to be able to shift priorities and ensure that resources are available for the work that’s more important,” he said. They need to “get the work done” without the requirement of “deep technical knowledge,” Goldberg added. #BigDataNYC #theCUBE