Welcome!

@DXWorldExpo Authors: Elizabeth White, Pat Romanski, Roger Strukhoff, Yeshim Deniz, Zakia Bouachraoui

Related Topics: @DXWorldExpo, Microservices Expo, Containers Expo Blog, @CloudExpo, Cloud Security, SDN Journal

@DXWorldExpo: Blog Feed Post

Big Data and Predictive Analytics Market Trends for 2014

Do you anticipate that data analytics and real-time visualization will advance next year?

Senior executives have been waiting for actionable insight from the mass of information that their IT departments already gather about their customers. But many have become very impatient -- because they want to see results, now. Do you anticipate that data analytics and real-time visualization will advance next year?

Ovum expects a significant wave of business technology ramp-ups in 2014, in response to the market demand. They predict a growing third-party vendor and IT services ecosystem that creates Big Data and Fast Data tools and solutions for the enterprise data warehousing and applications markets.

This growing trend is occurring as SQL and Hadoop platforms are diversifying, adopting multiple personalities, and providing overlapping functions. According to Ovum’s latest market study, SQL queries can now be run against Hadoop, and many SQL databases will be able to handle JSON document-centric queries.

And as silicon-based storage -- DRAM (dynamic random-access memory) and SSD/Flash -- grows more abundant, the path is cleared for a new generation of Fast Data applications that will be game-changers for the enterprise applications market.

The Trends to Watch for Big Data in 2014 include:

  • Analytic data platforms are adding multiple personalities.
  • A Big Data enterprise application market is emerging.
  • There is NoSQL life beyond Hadoop.
  • Data tiering is predominant in real-time data platforms.

 

Tony Baer, principal analyst at Ovum, says that in 2014, analytic platforms will continue to offer more diverse personalities, offering overlapping capabilities.

“The rationale is a mix of providing convenience, leveraging familiarity with SQL, and providing unified management over diverse analytic workloads. By bundling multiple engines, management of diverse analytic workloads becomes more convenient,” according to Baer.

However, the drawback is that some of these engines or approaches are quite early in development; in many cases, implementations are still proprietary.

For Big Data and Fast Data, the path for creation of a new applications market is mostly following the visionary model, because a legacy of custom programming for applications did not exist.

An emerging breed of Hadoop-based applications is converging multiple sources of data and providing predictive analytics for customer experience solutions that could be used for cross-selling, upselling, and providing recommendations for purchase.

The flip side is that Ovum expects continued growth of the Fast Data applications market in 2014. The applications heavily leverage DRAM or SSD/Flash, or both to embed complex analytics and simulation capabilities into transaction applications.

Ovum predicts that there is NoSQL life beyond Hadoop. NoSQL platforms such as MongoDB and Cassandra are poised for a breakout for Fast Data Internet applications. Ovum believes more players will join the fray and some even on Hadoop.

"Look out for document-centric data stores, such as MongoDB, as they empower the next generation of web applications. JSON may fulfill the promise that XML was supposed to deliver for structuring all that other data that SQL was never able to easily accommodate," concludes Baer.

Read the original blog entry...

More Stories By David H Deans

David H. Deans is the Managing Director at the GeoActive Group. He has more than 25 years of experience in the Technology, Media and Telecom sectors.

DXWorldEXPO Digital Transformation Stories
Using serverless computing has a number of obvious benefits over traditional application infrastructure - you pay only for what you use, scale up or down immediately to match supply with demand, and avoid operating any server infrastructure at all. However, implementing maintainable and scalable applications using serverless computing services like AWS Lambda poses a number of challenges. The absence of long-lived, user-managed servers means that states cannot be maintained by the service. Lo...
As you know, enterprise IT conversation over the past year have often centered upon the open-source Kubernetes container orchestration system. In fact, Kubernetes has emerged as the key technology -- and even primary platform -- of cloud migrations for a wide variety of organizations. Kubernetes is critical to forward-looking enterprises that continue to push their IT infrastructures toward maximum functionality, scalability, and flexibility. As they do so, IT professionals are also embr...
Technology has changed tremendously in the last 20 years. From onion architectures to APIs to microservices to cloud and containers, the technology artifacts shipped by teams has changed. And that's not all - roles have changed too. Functional silos have been replaced by cross-functional teams, the skill sets people need to have has been redefined and the tools and approaches for how software is developed and delivered has transformed. When we move from highly defined rigid roles and systems to ...
This month @nodexl announced that ServerlessSUMMIT & DevOpsSUMMIT own the world's top three most influential Kubernetes domains which are more influential than LinkedIn, Twitter, YouTube, Medium, Infoworld and Microsoft combined. NodeXL is a template for Microsoft® Excel® (2007, 2010, 2013 and 2016) on Windows (XP, Vista, 7, 8, 10) that lets you enter a network edge list into a workbook, click a button, see a network graph, and get a detailed summary report, all in the familiar environment of...
IT professionals are also embracing the reality of Serverless architectures, which are critical to developing and operating real-time applications and services. Serverless is particularly important as enterprises of all sizes develop and deploy Internet of Things (IoT) initiatives. Serverless and Kubernetes are great examples of continuous, rapid pace of change in enterprise IT. They also raise a number of critical issues and questions about employee training, development processes, and opera...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
AI and machine learning disruption for Enterprises started happening in the areas such as IT operations management (ITOPs) and Cloud management and SaaS apps. In 2019 CIOs will see disruptive solutions for Cloud & Devops, AI/ML driven IT Ops and Cloud Ops. Customers want AI-driven multi-cloud operations for monitoring, detection, prevention of disruptions. Disruptions cause revenue loss, unhappy users, impacts brand reputation etc.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Atmosera delivers modern cloud services that maximize the advantages of cloud-based infrastructures. Offering private, hybrid, and public cloud solutions, Atmosera works closely with customers to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Atmosera's expertise simplifies the process of cloud transformation and our 20+ years of experience managing complex IT environments provides our customers with the confidence and trust tha...
Using serverless computing has a number of obvious benefits over traditional application infrastructure - you pay only for what you use, scale up or down immediately to match supply with demand, and avoid operating any server infrastructure at all. However, implementing maintainable and scalable applications using serverless computing services like AWS Lambda poses a number of challenges. The absence of long-lived, user-managed servers means that states cannot be maintained by the service. Lo...