Big data and analytics can help a business predict consumer behavior, improve decision-making across the board and determine the ROI of its marketing efforts. By addressing these aspects adequately, the business would not only be able to protect its market share, but also expand into new territories. The below infographic by Villanova University School of Business Online takes a detailed look at this…

Yes we know that you will be having a lots of queries such as Collection of Big Data, How organizations gather Big Data, how to gather information for quantitative research so don't stress, in the event that you are here to hunt down these questions here then you are on the right page as here we are going to give you a complete article on Collection of Big Data strategies quickly. …

Big Data is an accumulation of data that is too large and complex for processing by traditional database management tools.

-Merriam Webster

Yeah But, What Really Makes Big Data Big Data?  This question is as fundamental to data science as the chicken/egg question should be to researchers at KFC. But we’re not dealing with an A/B chicken model here.  It’s more elephant to the dark room or scaling it up, the nearest star to our galactic…

As we evolve toward a software-defined world, there’s a new user experience urgency emerging.  That’s because the definition of “user” is going to be vastly expanded.  In the Internet of Things (IoT) era, users include machines.…

Big Data includes technologies include Hadoop, cloud-based analytics, and scalable data storage. Big data market is grooming significantly. It is used most extensively today with business intelligence and analytics applications. Big Data help you to understand the information contained within the data and help to identify the data which is most important for the business future business…

In this new year 2016, we should be excited that Apache Spark community have released and announced the availability of Apache Spark 1.6, which is the 7th release on the 1.x line.

• Committers – Contributors to Spark had crossed 1000, which is doubled.

• Patches – Apache Spark 1.6 version includes & covers 1000 patches.

• Run SQL query on files – This feature helps user and application to…

Yes, we are marching towards New Year 2016!  What happened to Resolution of 2014, 2015? Quit Habits? Practice Habits? Road ahead? Am into all, but i could not able to keep it up. Hence this New Year 2016 is no more resolutions, just implement the plan.

Extend to that, as we know big data is bringing more business value to enterprise by leveraging the data lake. Data Lake..... What is that? Data Lake is loosely defined word and the definition gets changed during implementation…

The term Big Data refers to the burgeoning amount of data seated in enormous databases, of sizes well beyond the ability of normal databases to store, retrieve, analyze, and manage. The definition, however, is rather quite subjective and involves another definition of how big a database needs to be so we can call it big data. As for this definition, some terabytes would aptly define big data for now, but as technology advances and we are flooded with even more data than this,…

With the growing amount of information being created daily, big data is providing marketers a means to find consumers who are in-market for the products or services your company sells. However, since this data is growing so rapidly and is stored in so many places (i.e. social networks, blogs, forums, public records, databases), it is near impossible for marketers to quickly find all the data they need on in-market prospects without expertise and tools.

I created an infographic that…

This post is an excerpt from our new report “The PADS Framework for Application Performance and User Experience”.  You can download the free report here http://tech-tonicsadvisors.com/go/pads-framework-white-paper.

The “point of delivery”, which is where users access composite apps, is…

Big data does not change the relationship between data quality and decision outcomes.  It underscores it.

The elegance of analytics systems and processes lies not in the gathering, storing and processing of data.  Today’s technology has made this relatively easy and common.  Rather it is in the integration and management to provide the highest quality data in…

For financial markets firms, efficiency is becoming as important a differentiator as speed and scale.  As a result, firms are delving deeper into predictive analytics to realize faster time to value and improve operational performance and decision outcomes.

Technologies that speed pattern recognition in ever-growing data sets – including big data – provide…

While we…

With the proliferation of composite applications for cloud and mobility, monitoring individual components of the application delivery chain is no longer an effective way to assure user experience.  IT organizations must evolve toward a holistic unified user experience assurance.  This must be a more collaborative methodology based on a service-delivery principle that is more aligned with corporate strategy.

The more business processes come to depend on multiple applications and…

Distributed architectures with more fragmented data sets beget the need for a dynamic data integration platform that is flexible and scalable to bridge existing enterprise infrastructure to newer apps developed for cloud and mobility.  Data quality and master data management (MDM) are vital components of data integration to ensure consistency and reliability for upstream analytics. 

But in order to succeed, firms need to first establish and commit to an ongoing data governance program…

Performance analytics in cloud platforms is becoming table stakes amid intensifying price competition for increasingly commoditized services. The ability to effectively manage application performance is a key component of every infrastructure-as-a-service (IaaS) provider’s cloud monitoring strategy.  As a result, cloud platform providers must continue to add functionality due to fewer opportunities to differentiate on raw compute or storage resources.

The evolution toward distributed…

We’re getting ready for Big Data Week in Atlanta (taking place May 5-11) and have heard from many of you asking about speaking this year. The event is designed to offer a good variety of meetups and sessions, offering a unique platform for speakers of many experience levels and…

The PADS Framework, for Performance Analytics and Decision Support, represents a more holistic approach to adaptive, proactive and predictive operational data management and analysis.  The framework links advanced performance management and big data analytics technologies to enable organizations to gain deep and real-time visibility into, and predictive intelligence from, increasingly complex virtualized and mobile systems across the entire application delivery chain.

The PADS…

A new Performance Analytics and Decision Support Framework, linking advanced performance management and big data analytics technologies, will emerge in 2014.  The PADS framework enables enterprises and service providers to gain deep and real-time visibility into, and predictive intelligence from, increasingly complex IT systems across the entire application delivery chain.

PADS establishes best practices for assuring user experience, reducing risk and improving operational decision…