Some people like putting together jigsaw puzzles, and some people like buying paintings. Both approaches are pretty popular in the world of big data, though perhaps the nature of analytics in business tends to skew things heavily toward the "some assembly required" side of the spectrum. This is not a trivial problem, but it's a problem that does need to be solved. Connecting data sources, preparing data, developing analytical models, sharing findings...in any normal workflow, there are a number of steps to be taken, and a much larger number of technologies that will come into play.
Many businesses today are excited about the possibilities of big data and analytics to enable them to be more responsive to their clients and prospects.
Having moved into a new house recently, I've had some shopping to do. No matter how much we brought along from the old place, inevitably getting settled involves buying more stuff to fill in the gaps. These items range from the trivial (light bulbs & trash bags) to the significant (new home theater kit - woohoo!). Living in a small town and working online all day makes it natural to search Amazon and eBay for the things we need. As I shop, I'm quite conscious of the digital profile being built about me and my proclivities. This doesn't bother me particularly, but it's interesting to see how (in)effectively the information is being utilized to market other offers to me.
In order to assess how enterprise organizations are collecting, processing, analyzing, and operationalizing their threat intelligence programs, ESG surveyed 304 IT and information security professionals representing enterprise-class (1,000 employees or more) organizations in North America. All respondents were involved in the planning, implementation, and/or daily operations of their organization’s threat intelligence program, processes, or technologies.
Last week 4,000 fine people gathered in San Jose for the Hadoop Summit. Hosted by Hortonworks, but largely non-denominational, the event showcased the broader ecosystem of Hadoop, big data, and analytics. Despite the wide variety of approaches, the attendees were clearly focused on finding the value and learning practical techniques to be successful. Less hype, more tech.
Many people consider "Hadoop" and "big data" to be synonyms, and certainly there is significant overlap between them. Yet in my mind, Hadoop is an ecosytem of data management tools, and big data is an approach to understanding complex situations. So the one can be used for the other, but surely isn't the only way to go.
There is a healthy diversity of existing—and emerging—choices when it comes to BI/analytics deployment strategies, and ESG’s research reveals that no one approach is yet dominant. Specifically, when asked how net-new environments will be set up, more than two-thirds (69%) of organizations expect their strategy to involve an on-premises approach. However, even among theserespondents, only 7% said that they would notuse cloud-based BI/analytics services in any capacity, leaving the door ajar for these solutions to gain market traction over time.
In recent years, many were thinking that Teradata was losing its edge in the greater analytics marketplace. Long a favorite for large enterprise customers seeking to do world-class data warehouses, the company realized the market was rapidly shifting around it. Two major trends seem to have the biggest impact here: big data and cloud. While Teradata's core install base isn't at significant risk of going away, they may be looking at complementary alternatives. For the company to remain a dominant player, some new approaches would be required. The recent Teradata third party influencers event in Del Mar, California, showcased just how far their efforts at transformation have progressed.
30 years ago, Back to the Future changed the history of the world as we know it, at least for impressionable movie buffs. This year, the Dell Annual Analyst Conference (DAAC) showed what could be coming next, no DeLorean required. Dell is obviously a big company with many different lines of business to consider, but I'd like to focus here on one breakout session in particular, entitled "Helping Customers Cut through the Big Data Hype to Make Better, Faster Decisions." Snappy, eh?
If there is one universal truth when it comes to information technology over the past decade, it is that data growth is inevitable and unstoppable. The sharp rise in digital assets has been a consequence of multiple cultural shifts over recent years. Whether driven by personal or professional motives, individuals are simply creating more digital assets than ever before. Regardless of the industry, the success of corporate operations depends on the ability to utilize digital assets. Whether it’s media and entertainment leveraging higher resolution video or developing more realistic digital effects, energy exploration firms capturing detailed 3D or 4D seismic data, security systems capturing higher resolution security footage, or online content distribution, the creation and the efficient utilization of digital assets is critical to staying competitive across nearly every line of business.
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."