Best Practices for Data Management Using DataOps
By: Jim Azar, Sr. Vice President, CTO For enterprises to achieve DataOps, both elements – Data and Ops – need to align in the right
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By: Jim Azar, Sr. Vice President, CTO For enterprises to achieve DataOps, both elements – Data and Ops – need to align in the right
By: Mark Lewis, SVP Sales and Marketing Mobile testing is an important frontier for testing mobile applications. If not for testing, the current era of
By: Karl Rubin, COO Automation, agility, new models, and the big-picture context – the way we look at and check, quality of the software –
By: Mark Lewis, SVP Sales and Marketing Develop fast, test regularly, and release with better frequency – that’s what the DevOps paradigm boils down to
By: Mark Lewis, SVP Sales and Marketing Many enterprises wish to tap the advantages that a cloud model offers. But most of them are struggling
By: Karl Rubin, COO DevOps has been a significant shift in the development paradigm. A new collaborative mindset has successfully solidified the rigid boundaries between
By: Jim Azar, Sr. Vice President, CTO Big data is a common initiative for many enterprises today. The force and scale of big data provides
By: Mark Lewis, SVP Sales and Marketing No matter how much a company invests in big data, analytics, or AI or how carefully the initiative
By: Mark Lewis, SVP Sales and Marketing Hybrid cloud is a special category of cloud that more businesses are adopting. It is an ideal model
By: Karl Rubin, COO Much has changed between the applications of yesterday and the ones we build and use today. If earlier applications were monolithic,
By: Mark Lewis, SVP Sales and Marketing Cloud is a significant lever in the digital transformation re-engineering of any enterprise. Many companies, big and small,
B: Karl Rubin, COO DevOps was the first paradigm shift that broke the traditional idea of how application development works. It changed a rigid and