The growth of cloud computing has broad implications for the world of analytics. As more companies look to cut IT costs by offloading system management expenses to third-parties—Gartner projects that close to half of large enterprises will deploy hybrid cloud environments by 2017—the migration creates a need for IT to monitor the progress and performance of the systems and applications.
That means, according to Gartner analyst Thomas Bittman, taking the step to cloud computing also involves adding capabilities that require spending on new technologies to measure performance, manage self-service applications and automated provisioning of systems.
The caution is a reminder that major shifts in IT operations, especially at large firms, are not fast or easy. At the same time, the pace and range of activity in the field of cloud-based systems that offer analytics continues apace, with a range of players from established tech titans to newcomers from the world of Hadoop and other fields finding opportunities for new use cases.
Below, find highlights from Data Informed’s coverage of cloud-based systems and analytics, including technology trends, use cases and security issues.
IBM’s new Watson Group launched to develop and commercialize cloud-based cognitive computing systems plans to invest $1 billion, including $100 million in venture money to cultivate an ecosystem of cloud-based applications developed by third parties. Here are five things to know about Watson at this important point in its history. Read more.
By embracing a new, more flexible and more modular architecture for data warehousing that includes Hadoop, major vendors like IBM, Oracle and Teradata are moving into a market that has been populated by startups and open source initiatives. The vendors bring credibility to Hadoop by trading on their trusted names in enterprise business settings. Read more.
The “cloud” once meant servers and hard drives at someone else’s data center. But more and more cloud-based services are being designed to match the applications enterprises have long done in house—and data warehousing has joined that list. Read more.
Shaun Connolly, vice president of corporate strategy at Hortonworks, talks about the development of Hadoop and what it means for enterprises using it, or considering using it for data-intensive projects. Read more and listen.
On this episode of the Data Informed podcast, Jack Norris, the chief marketing officer of MapR Technologies, discusses Hadoop security and the kinds of use cases that open up when it is improved. Read more and listen.
Competing with Hadoop and NoSQL, these new databases, such as NuoDB, Splice Machine, VoltDB, Cloudera’s Impala and Hadapt, are focused on scalability and predictability, with the ability to perform with distributed data in the cloud or on-premise. Read more.
In August 2012, Google took a step towards challenging other infrastructure-as-a-service (IaaS) providers like Amazon Web Services and Rackspace by bolstering its cloud ecosystem, announcing 47 technical and service partners. Read more.
In-memory databases are not a new technology, but with data sets getting bigger and businesses looking for insights faster, real-time data analytics has reached a new level of interest. And executives at Kognitio, which has been in the in-memory field since 1989, feel the market has come around to their way of thinking. Read more.
How much should a business user know about Excel pivot tables in particular, or databases in general? Not much, according to Southard Jones, the vice president of product strategy at cloud-based business intelligence company Birst. Read and hear more.
Syncsort, founded in 1968 to help mainframe systems administrators sort data for transactions processing, has found new life at the center of ETL processes that enterprises with legacy systems require to adopt Hadoop and big data analytics systems—including cloud-based systems. Read more.
Vint Cerf, celebrated “father of the Internet” now working at Google as vice president and chief Internet evangelist, sees parallels between pre-Internet networking and the state of cloud computing today. Cerf spoke at a National Institute of Standards and Technology event. Read more.
Scientific research already uses very big data sets, but the field needs to develop a framework and standards to take major inquiries to new heights of collaboration and discovery, according to researchers convening at the National Institute of Standards and Technology. Read more.
Commercial buildings have long been able to provide information on what makes them tick, but it was often ignored. Now software companies are applying analytics to building data to improve efficiency and head off potential maintenance problems. It’s another example of the value data analytics can play in the growing universe of connected devices. Read more.
More than simply a trend, cloud computing is helping to transform human resources and the applications it supports. This article shares tips for HR managers evaluating cloud-based services. Read more.
An embedded open-source business intelligence capability from Jaspersoft, which is built into EnergySys, a specialist production reporting and allocation application, is an example of a cloud-based application that is critical to commercial exploitation of the largest North Sea oil field. Read more.
A financial software company called Trintech, established in 1989 by former finance executives, seeks to address the complexity of financial reporting faced by CFOs through its cloud-based offering called Cadency. Read more.
Application Performance Management (APM) isn’t a brand new acronym – but it is one that is getting more visibility. Its focus is on monitoring and managing the performance and availability of software applications, which are seen as increasingly critical to overall business performance. APM also can apply to applications running in the cloud. Read more.
Business process crowdsourcing, an alternative to outsourcing that leverages skilled professionals working virtually in a “private crowd,” is a method for detecting fraud that could help the IRS catch tax cheats and save the government money, argues Don Mackenzie of Lionbridge Technologies. Read more.
Address book application developer Full Contact users MapR’s distribution on Amazon Web Services cloud environment. The CTO describes his experience using the platform. Read more.
Today’s progressive business leaders are demanding their companies integrate their existing enterprise resource planning (ERP) and customer relationship management (CRM) systems with external sources, such as social media and machine sensor data, all while tapping into cloud computing systems to deliver actionable insights quickly and in a cost-effective manner, write Scott H. Schlesinger and Dorman Bazzell of Capgemini. Read more.
SAP has come up with a new, cloud-based workforce application that seeks to address all the challenges facing carpool organizers through a mix of data analysis, mapping and application design that, combined with the right employer policies, has the potential to make an impact, experts say. Read more.
Amazon Web Services is a leader in providing cloud infrastructure as a service, so when its system went down in Northern Virginia during a major electrical storm in June 2012 and took high profile clients like Netflix, Instagram and Pinterest with it as it did, people sat up and took notice. Read more.
Researchers in neuroscience and genomics, who work with immense datasets, say they need to manage issues familiar to enterprise IT and business executives: changing the culture to accept data sharing, using visualizations as tool to aid communication and further discovery, and planning for future cloud adoption. Read more.
The information security practitioners at the Cloud Security Alliance know that big data and analytics systems are here to stay. They also agree on the big questions that come next: How can we make the systems that store and compute the data secure? And, how can we ensure private data stays private as it moves through different stages of analysis, input and output? It’s the answers to those questions that prompted the group’s latest report detailing 10 major security and privacy challenges facing infrastructure providers and customers. Read more.
Shifting applications and infrastructure to the cloud does not mean an organization abdicates responsibility for the security and integrity of its data. Experts in the field, from vendors and consultants to large companies implementing clouds, have developed checklists to help you evaluate cloud strategies and cloud services providers. Read more.
As cloud-based systems win attention from management, it becomes unnecessary to manage all that infrastructure, and management can quickly scale up (and down) volumes if needed, writes April Reeve in this excerpt from her book “Managing Data in Motion.” Read more.