In this ESG Video Blog, I discuss the current and future state of the Hadoop market.
In addition to being the vertical with the healthiest overall IT spending change outlook for 2015, retail organizations are more likely than their industry counterparts to prioritize investments in key technology areas, including “big data.” Indeed, ESG’s research reveals that 89% of retailers will increase their spending on BI/analytics solutions relative to 2014 compared with only 57% of the organizations in all other industries.
This ESG Lab review documents hands-on testing of the Platfora Big Data Discovery Platform. Testing focused on the simplicity, flexibility, efficiency, and feasibility of deploying Platfora’s modern Hadoop-based big data discovery platform to empower all big data analytics personnel to gain more valuable insights faster.
In order to determine the IT priorities and challenges when it comes to supporting the technology requirements of remote office/branch office (ROBO) locations, and how organizations plan to address those challenges, ESG recently surveyed 347 North American senior IT professionals representing midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations. All respondents worked at headquarters locations or other centralized corporate sites and were responsible for ROBO IT operations and/or strategy, including the delivery of IT services to these locations, authorization of expenditures, and establishment and enforcement of corporate IT policies for remote/branch offices. Respondent organizations were required to have at least two ROBO locations to qualify for the survey.
We live in an unsettling time for enterprise storage technology. It may not be too much of a stretch to say that the future of storage technology is more uncertain now than it has been in the past 10 or 15 years. Emerging technology trends such as the cloud and big data analytics, along with the storage innovations of software-defined storage (SDS) and solid-state are transforming the information technology landscape as we speak.
Who builds the world’s most popular tool for analyzing data? Did you say Microsoft? Good. For most anyone in business, Microsoft Excel is where we get started around business intelligence, though we may not typically call it that. From this humble beginning, many graduate on too much more sophisticated solutions. What not everyone realizes is that Microsoft is capable of supporting you even as you go to much greater depth. At the recent Ignite event in Chicago, Microsoft made the case that day will improve worker productivity, especially around data insights and collaboration, with an extremely deep portfolio of complementary technologies.
Recently the Hive hosted a panel discussion on the pros and cons of various approaches to in-memory databases. Yours truly served as moderator/referee as Oracle, MemSQL, IBM, Aerospike, and Pivotal sent their biggest brains.
What could possibly entice me to return to Las Vegas for the third time in three weeks? Informatica World 2015. Frankly, I was curious to see just what was a-goin' on with the company. We know this is a group with serious chops in the data management space, but it's also a bit of an anomaly generation-wise. Founded in 1993, Informatica doesn't have so many decades of seniority as IBM, HP, or Oracle, but it's far too old to be a precocious startup any longer.
At the recent HDS Connect Event there were -literally- all sorts of connections to be made. HDS had pulled its sales and partner conferences together with the analyst event, a leadership meeting, and sundry others. The first connection was to parade the huge range of mothership Hitachi's capabilities, and thereby give some tangible credibility to the vision, and even gradual manifestation, of the overall Hitachi drive for "Social Innovation."
In order to understand organizations’ usage of or interest in platform-as-a-service solutions, ESG recently surveyed 326 IT professionals and application developers representing small (50 to 99 employees), midmarket (100 to 999 employees), and enterprise-class (1,000 employees or more) organizations in North America. All respondents were personally responsible for evaluating and/or selecting software application development and deployment tools for their organization.
A majority of organizations plan to increase spending on the applications, services, and infrastructure underlying big data initiatives, especially those larger in size and affiliated with the retail and health care verticals. This may be attributable to the fact that not only are many organizations that have been experimenting with big data pilot projects now moving into full-scale enterprise deployments, but also those more conservative organizations that have been waiting for more market maturity are now confident enough to proceed with their own initiatives.
Previously in this blog series we looked at business and technology goals for big data and analytics initiatives as described by the leaders of these projects at a wide variety of businesses today. The aim is to understand the state of the market and how people seek to drive value from the data naturally occurring in their businesses. While some organizations are truly on the cutting edge, others are taking a more conservative approach or are just now implementing new solutions. Today I’d like to look at some of the ways people actually measure the value of big data and analytics to their business.
I recently started a blog series based on research done by interviewing a number of leaders for big data and analytics initiatives. The first part in that blog series on leaders' perspectives on big data was specifically about business goals. This time we’re going to look a little more at the more technical objectives of big data, by which I mean technology goals.
For several years, there has been a tremendous demand for data scientists. Businesses and governments got really, really excited about all the possibilities from applying big data, and the data scientist was seen as the most critical role to make it happen.
IT spending optimism is at a three-year high, with more than half (56%) of the senior IT decision makers surveyed by ESG reporting that their organizations’ total investments in IT products, staffing, and services will grow in 2015, relative to 2014 budget levels. This equates to an average year-over-year increase of 2.82%, which jumps to nearly 6% among those with plans to boost spending. It is worth noting that only 5% anticipated a drop-off in the funds earmarked for 2015 technology purchases and projects.
Big data continues to fascinate business leaders across all industries. Yet few agree on a standard definition, much less a best approach to capitalize on the new opportunities and how to leverage new technologies. To better understand the differing perspectives, ESG undertook a series of in-depth interviews with the self-proclaimed leaders of big data initiatives at ten different companies. The goal was to establish a baseline of the most common strategies, as well as identify the philosophical and environmental differences that lead to more distinctive efforts.
In an earlier blog post, I discussed some architectural options in deploying a big data environment, including cloud vs. on-premises, and dedicated vs. shared infrastructure. In this post, I'll examine topics that may be even more divisive: open vs. proprietary software and commodity vs. purpose-built hardware. These choices seem to reflect personal philosophies as much as technological differences.