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.
The announcement of support for SQL on Hadoop and NoSQL data sources brings big data deeper into Oracle's arena.
Increasingly, IT departments are now exploring the usage of big data and analytics to better undertstand their own operations, opportunities, and risk.
While arguably the most dominant relational database vendor, Oracle recently faced increasing competition pressure from products with performance advantages stemming from in-memory processing. With the announcement of the Oracle Database 12c In-Memory option, the speed differences have been largely mitigated for many common workloads. The question remains about which architectures will better satisfy enterprise applications and various approaches to scaling.
At its best, America is beautiful for the collaboration and compromise that went into some amazingly successful long-term design planning, codified in our Constitution. Big data initiatives require a similar team effort to be successful.
Sampling security data is no longer adequate or necessary – CISO mindsets are due for a change.
New tools for big data and analytics can be blended into existing enterprise applications, infrastructure, and processes, but meeting conflicting requirements will go much smoother if we consider the lessons of the past.
There is a big disconnect in the presentation of big data products and services, and it's slowing down some vendors who otherwise have great offerings to sell.
Data warehousing and big data analytics giant Teradata is taking new steps to ensure its relevance as the world of big data evolves.
Teradata has long been a leader in traditional integrated data warehousing and data mart solutions, offering a wide range of platforms and tools for analytics and reporting. Now the company is modernizing its portfolio with a much greater emphasis on big data and analytics and an inclusive approach to newer offerings such as Hadoop. The flexible range of multi-functional systems will appeal to Teradata’s current enterprise customers who need to blend different data types for advanced analytics, although more must be done to show the broader market the value of appliances over commodity hardware and open source software.