big data Posts

The Dell-EMC Deal: Brilliant or Delusional?

The Dell-EMC Deal: Brilliant or Delusional?

What is the outlook for this largest-ever merger of tech companies, assuming that it goes through without any major hitches? The history of prior mega-mergers tell a mixed story. What is there about this one, between two ailing giants, that could be different?

2014’s Top 20 Trends & Disruptions in Enterprise and Consumer Markets

2014’s Top 20 Trends & Disruptions in Enterprise and Consumer Markets

2014 brought us a number of intriguing developments in business and consumer tech. Here’s a list of my Top Twenty trends and disruptions that I found most significant, not only during 2014, but providing pointers for 2015 and beyond.

Can IBM Become Relevant Again? Sorting out the biggest basket case in tech (UPDATED)

Can IBM Become Relevant Again? Sorting out the biggest basket case in tech (UPDATED)

Since IBM announced its latest decline in revenues and profits and finally abandoned its much-publicized 2015 $20EPS goal, pundits have been understandably quick to pounce with their criticisms. Today IBM looks more broken even than HP was three years ago, when Meg Whitman became CEO and began her transformation of the company. What about IBM under Ginni Rometty’s stewardship? What should IBM’s role and strategy be going forward? And can this wobbly giant rejuvenate its business?

How Splunk is Playing for Power in Big Data

How Splunk is Playing for Power in Big Data

Since 2009, big data has progressed from being an awkwardly named though highly touted super-category to being an awkwardly named and over-hyped bandwagon category. During this time Splunk has quietly gone about building a leadership position in a few gritty but mission-critical sub-categories such as log search, security information and event management (SIEM), and operational analytics. Splunk’s machine-based indexing, search, and analytics engine also qualifies it to play in another emerging super-category – the internet of things (IOT). With around $420m in revenues and growing at 50% or so every year, Splunk has got everyone’s attention despite being much smaller than many much larger big-data pretenders such as IBM. How has the company achieved this, what new challenges does it face going forward, and what every other player in big data learn from Splunk’s progress thus far?