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Where does today's business draw the line with DIY IT? | #BigData

Where does today's business draw the line with DIY IT? | #BigData

Open source software is free. So if companies can collect open-source software products, configure them, test them and learn to use them to run their businesses, what place do for-profit companies have in the equation? An important one, according to Claude Robinson III, senior director of product marketing, converged infrastructure at Oracle. "The old model of going and picking a ton of pieces and vendors off the shelf, spending months putting it together, waiting six to nine months for someone to come back with data that you can analyze to run your business -- that doesn't work anymore in today's world," he... more »
Stacking the odds: Outsourcing lower-stack IT to focus on value-driving applications | #BigData

Stacking the odds: Outsourcing lower-stack IT to focus on value-driving applications | #BigData

We frequently hear that companies want to focus their efforts up the stack, particularly on the customer-facing applications that differentiate them in the market. With all the innovation taking place in application development these days (containers, Big Data, SaaS, etc.) they are on a seemingly endless learning curve trying to stay up-to-date and competitive. Many are looking for ways to reduce time spent on "plumbing" -- lower stack infrastructure -- to free up time for the all important applications. Karen Sigman, VP of Converged Infrastructure Marketing at Oracle, said this is often echoed in her conversations with customers. "They don't want to... more »
Legacy companies can't wait to start monetizing data -- so where's the application? | #BigData

Legacy companies can't wait to start monetizing data -- so where's the application? | #BigData

Is it a good time to be a digital-only company or what? Some recent studies from MIT show that some of these assetless companies derive up to 84 percent of their S&P value just from data, according to Brad Tewksbury, senior director of Global Business Development, Exadata and Big Data, at Oracle. It's enough to inspire serious data envy in legacy companies who are saying, "Hey, we have data too -- we just need to figure out how to monetize it." Silicon Valley startups know if they can provide the answer, they could reap big rewards. Tewksbury said the race is on to... more »
People puzzle: Combining social and CRM data to suss out customers | #BigData

People puzzle: Combining social and CRM data to suss out customers | #BigData

Companies who use data to construct a picture of an individual customer have a daunting challenge in front of them. On the one hand, there is "hard" data on transactions, buying patterns and vital consumer stats. On the other hand, there is now a universe of social networking "soft" data that can provide extremely pertinent insight into who the customer is and what kind of marketing will resonate with him or her. These are two different worlds that have to come together somehow to provide a rich consumer profile. Chai Pydimukkala, senior director of Product Management and Product Strategy at Oracle, spoke... more »
Does the modern application need 24/7 data replication? | #BigData

Does the modern application need 24/7 data replication? | #BigData

Replication of data is necessary for speed, function and consistency of data applications across environments. But a key question is how often a company's data is replicating? For instance, if a business has a four-day replication cycle, what becomes of the past three days of data in the event of a disaster at the start of day four? Some say that data is now so crucial, and nonstop replication so simple, that no company should be without it. Jagane Sundar, CTO of WANdisco, Inc., said this is one problem facing companies utilizing Big Data in applications. Speaking about the batched solutions of other... more »
Can Big Data level the playing field for digital-native and non-native companies? | #BigData

Can Big Data level the playing field for digital-native and non-native companies? | #BigData

In the age of Amazon, Zappos and other digital-native giants, smaller businesses with traditional operations have had to face a hard reality: A company with a technological advantage could come along and eat your lunch any day. Is there any way they can steel themselves against a technological Goliath rising and monopolizing their markets? One startup is teasing out the advantages that big digital-native companies have, in order to give the underdogs a fighting chance. According to them, Big Data is among the most crucial of advantages. "What we do at Rocana is build tools to help companies that aren't digital-native... more »
Data scientist or data janitor? Democratize data to get more from the data pros | #BigData

Data scientist or data janitor? Democratize data to get more from the data pros | #BigData

Data scientists are a rare and coveted breed of IT professional. Data science is a relatively young field; many computer science programs at universities still do not offer data science specializations. The data scientists that do exist typically go to work for a few deep-pocketed companies who can afford them. What is a smaller company with Big Data ambitions to do? For one, they can use cutting-edge data tools to morph their business analysts into "citizen data scientists." Chris Lynskey, VP of Product Management at Oracle, said that even companies who have data scientists joke that they are more like data janitors... more »
Take it to the data: Working smarter, not harder on siloed data sets | #BigData

Take it to the data: Working smarter, not harder on siloed data sets | #BigData

The main problem with getting Big Data to perform is, perhaps not surprisingly, its size. Massive data sets have to be stored somewhere, and this sometimes entails silos, which can be problematic for analytics. To get a single accurate answer to a Business Intelligence (BI) inquiry, huge quantities of data from across different categories have join in a timely manner. The logistics are daunting. Some believe that mobilizing the analytics to move across data instead of vice versa, is the answer. Jean-Pierre Dijcks, master product manager at Oracle, spoke about using SQL to form a super-layer with a bird's-eye view of all available... more »
Wikibon trip report from OpenWorld 2016: Oracle stakes its cloud claim

Wikibon trip report from OpenWorld 2016: Oracle stakes its cloud claim

Do you want more Oracle? That is the fundamental question that executives at most of the Global 2000 should ask themselves as they make cloud decisions over the next few years. Here’s the trade-off: On the one hand, Oracle OpenWorld this week in San Francisco dramatically pushed the cloud state-of-the-art forward. New technology? Check. Oracle has added a “Cloud at Customer” option for enterprises that want private cloud implementation and a public cloud subscription model. It’s the lowest-risk path to the cloud for existing Oracle application customers. New performance? Check. Oracle’s silicon-to-software integration reaps big performance returns, which -- according to its benchmarks --... more »
IoT express: Can the path to value from IoT be shortened? | #BigData

IoT express: Can the path to value from IoT be shortened? | #BigData

The Internet of Things (IoT) is a lot like Big Data in both the challenges it poses and the promises it holds. Like Big Data, it seeks to collect vast, scattered intelligence into one place where it can be worked on to gain insights. IoT is young, and companies that want to implement it are often required to round a long curve to get from asset connection to aggregation to business value. One company is looking at ways to compress that process into packaged IoT applications for specific use cases. Bhagat Nainani, GVP of IoT and Big Data at Oracle, spoke... more »
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Premium Research

- David Floyer

Industrial IoT, the largest segment of the Internet of things (IoT) with the highest potential value, will require a deep integration between modern IT (Information Technology) and OT (Operations Technology). Modern IT technologies, to be truly extensible to OT, will need a hybrid cloud approach, with by far the majority of data and processing residing at the so-called "Edge". Architectures and software written by industrialists for industrialists, such as GE Predix, are showing how that can work.

- George Gilbert

The big data arena is at a crossroads. Use cases and tools are proliferating faster than most big data teams are gaining experience. In establishing the big data business capabilities required to cut through the complexity, CIO’s must balance the accessibility of integration of traditional SQL DBMS’s versus speed of innovation in the mix and match open source big data ecosystem.

- Peter Burris

In the big data domain, businesses are trying to solve complex problems with complex and novel technology -- and often failing. Simplifying the packaging of big data technologies will streamline big data pilots and accelerate big data time-to-value. CIOs looking to establish differentiating big data capabilities need to consider Single Managed Entities to help solve the complexity problem.

- David Floyer

Oracle M7 technology is meeting or exceeding the announcement performance claims against previous generation. Even taking very conservative assumptions, the business case for migration from T5 to T7 servers is good. Wikibon concludes that for Oracle software and the servers they run on, the adoption of M7 technology (and T7 server technology) is best practice for these high value compute areas.

- David Floyer

The premise tested in this research is that high value applications and software should be run on more capable converged performance-optimized infrastructure, even when they constitute a small proportion of the total workload. In contrast, cost-optimized infrastructure will save on short-term hardware costs, but will incur much higher overall costs long-term. The conclusion strongly recommends IT executives adopt a default of performance-optimized converged infrastructure for all mixed workloads when even a small proportion includes high-cost software and/or high-value applications.

- George Gilbert

Big data pros need to identify which data feedback loops in their machine learning applications can deliver sustainable differentiation through network effects. Starting early is critical because getting to scale is likely to create the "winner takes most" competitive dynamics that have become so common in tech industries. The biggest sin is to wait for the tooling to become automated enough for all competitors to jump in.

- Ralph Finos

The public cloud competitive environment remains turbulent, but sectors show signs of crystallizing a longer-term market structure.. SaaS remains turbulent with SaaS vendors successfully gaining share vs. incumbent licensed software providers who must migrate their core products to cloud-friendly offerings and/or acquire native SaaS applications to shore up their applications leadership positions. Public cloud IaaS segment leadership is crystallizing to a handful of viable providers as a function of scale requirements. PaaS is just formulating and finding its way, but is likely to gravitate towards a wide variety of development models suited for different application types and public cloud platforms.

- David Floyer

For enterprise executives trying to achieve aggressive RPO and RTO SLAs , Wikibon believes that batch backup appliances (PBBAs) will give way to real-time, continuous data protection systems that aggressively support very large memory application memory. Practitioners requiring close to RPO zero and aggressive RTO SLAs should plan for an integrated data protection approach that effectively eliminates the concept of storage-led backup and shifts thinking to a application-led virtual point-in-time recovery model. The database and file system vendors will be the predominant suppliers of this technology, and understanding their roadmaps and commitment to support application-led recovery strategies is crucial to both database and data protection technology selection.

- George Gilbert

Mainstream enterprises are beginning to deploy machine learning applications that add differentiation to traditional products and services. But the complexity of their big data infrastructure is becoming a problem. Big data pros need to deploy a digital business platform (DBP) to support modern applications and then extend the DBP to machine learning applications.

- Peter Burris

IT shops that want to achieve modern IT status will have to address the "IT iron triangle" constraining transformation.