Building a big data environment is usually a non-trivial exercise, but Blue Data has automated much of the effort to improve the experience and time-to-value.
Most companies undertaking new big data initiatives are doing so with specific business goals in mind. The belief is that a better understanding of their operations, their customers, their research and development will all lead to smarter, timelier decisions, and this will then translate into better results. Done right, this is all true enough, and certainly a worthy pursuit.
While big data is by nature often a complex undertaking spanning many types of technology, IBM's broad portfolio is both a current asset and an area of future potential.
When asked about the business initiatives that will drive the most technology spending in their organizations over the next year, IT and marketing are not on the same page when it comes to big data, social, and mobility (with marketing placing a higher priority on these initiatives than IT). A likely outcome is that this will fuel further “shadow IT” projects by the lines of business, not the least of which will be further cloud software and infrastructure adoption.
Big data often requires adoption of new technologies, but to be successful businesses need culture change, too.
While many vendors tout the performance or scalability of their big data products, enterprises require both together for real-time analytics.
While many rejoice in Volume, Velocity, Variety, Veracity, and Value, one of the most important characteristics of big data will be Longevity.
There are varying degrees of partnerships in the big data ecosystem, and leading Hadoop distributions are at the center of the action.
ESG research covers the challenges and changes in enterprise databases, including growth, proliferation, consolidation, performance issues, and newer technology options.
Cybersecurity event brings together an army of infosec nerds with a focus on threats, vulnerabilities, and innovative defenses.
ESG conducted an in-depth survey of 375 IT and business professionals concerning their organizations’ current database technology environment and their forward-looking strategies. Survey participants represented large midmarket (500 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America (United States and Canada).
Splunk continues to expand its value with analytics for Hadoop and NoSQL data stores, complementing its enterprise and cloud platforms with additional big data capabilities. This helps customers discover, analyze, and share information, increasing access to and relevance of more types of big data. Tighter integration with the providers of these technologies would help build an invaluable ecosystem solution for many customers.
Security analytics growth will drive growth in PCAP appliances, analytics distribution networks, SDN, and middleware.
The ubiquity of computers, cellphones, tablets, and the always-on always-connected workforce has driven business to understand that IT is not just a necessary evil of business—IT can be a competitive advantage. Thus, the mantra “IT needs to be more tightly aligned to the business” and the continual drive for business process improvement were created. This requires more than just changing roles and new paradigms. Organizations also need to transform their infrastructures into more agile and flexible IT environments by leveraging new technologies and management tools.
A plethora of intelligence feeds are driving new products, services, and enterprise threat intelligence strategy.