0 - 36 of 36 tags for big data

Real-time data capture is the first step to a Sentient Enterprise. The ability to quickly add new data sources for capturing real-time data is critical to keeping a business relevant.

Hello Guys,
These Top 10 don’ts of Big Data projects speak of practices that disallow the creation of data lakes for profit. Steer clear of them and go the right way to make your project a success.

The Internet of Things (IOT) has arrived and is growing rapidly in scope and influence. From industrial equipment, to personal tracking devices, to smart grid infrastructure, the number of connected devices is increasing exponentially.

Earlier this year I posited that, due to the exponential rate of growth, the amount of data collected for analysis is becoming beyond the scope of the current analytical staffs to examine it all.  And that the answer to growing the cumulative brain power necessary for this exponential growth in analysis is going to have to be machine learning and artifici

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Hi All,

 

Big Data helps enterprises capture the information using software. Do you know what are the mistakes that enterprises do while implementing Big Data Projects?

 

The amount of data that is now available for analysis is growing at an exponential rate.  As the hardware to capture the data becomes cheaper, faster and omnipresent, the amount of data collected for analysis is becoming beyond the scope of the current analytical staffs to examine it all. 

Hi
 
I am new to Teradata SQL; I have a database containing 10 million records(rows) of revenue, each with a unique ID. I need to query 3 million records out of it, in which I do have the IDs of these 3 million records. the direct and slowest way would be:
select ID, revenue
from My_Table

The theme of this blog is an examination of forces that would disrupt existing data warehouse implementations.  I categorize these as either long tail or black swan events.

During my first coding class, after the obligatory “Hello, World,” my assignment was to find the least cost path in a matrix of values (linear programming).  The computer took some time to crunch the data to come to a solution.  Now, this is an app on your phone.  

There are fairly standardized organizational structures for functions like Human Resources, Finance, and Marketing. However, this isn’t true when it comes to corporate analytics functions.

Big Data and Hadoop classroom training is for people who are willing to attend classroom sessions delivered by a highly experienced instructor. Big Data is a collection of large and complex data sets that cannot be handled by regular tools. Big Data training educates one on handling such huge databases.

A couple of recent articles in Wired got me thinking about just how social media services, and thus the value of the big data that they create, could be under threat from their own customers.

Cloud and Big Data has potential to create million new opportunities in building systems, solutions, apps, API’s, consulting, staffing and more. Techfetch.com has planned to conduct “Cloud & Big Data Boot Camp” on February 22, 2014.

Cloud, Mobile and Big Data has potential to create multibillion new economy in building systems, solutions, apps, API’s, consulting, staffing and more.  Techfetch.com has associated with Tie to conduct “Cloud, Mobile & Big Data Business Conference” on Feb 21, 2014.

Cloud, Mobile and Big Data become the latest trend in today’s technology world. It is essential to stay up to date with these hot tech skills. TechFetch.com organizes a free tech seminar on the topic “Cloud, Mobile & Big Data”. It will be nice opportunity to gather knowledge about Amazon Web Services, Enterprise Mobility and Big Data

The growing importance of leveraging new sources of data and new types of analysis has led to the emergence of new technologies that can process non-relational data and perform deep analysis on that data.

When this blog started, it was based on my 2008 Teradata Partners User Conference presentation on the future data explosion and its impact on the Enterprise Data Warehouse:  “’Long Tails,’ ‘Black Swans,’ and Their Impact on EDW and AEI.”  One could foresee a definite future negative impact on the existing EDW platforms trying to support all this new volume and types of data (social, sensor, etc.).

Techfetch & Global Indian Technology Professional Association has planned to conduct Cloud and Big Data Symposium. It is a great pleasure to invite you all to the Cloud and Big Data Symposium on December 21, 2013. It will be nice occasion to gain knowledge about in demand technology skill Cloud & BigData.

Big Data and Hadoop Certification is one of the most coveted certifications in IT Service Management. Simplilearn offers online Big Data and Hadoop training for Big Data and Hadoop aspirants towards achieving their certification goal.

Most of the “Big Data” examples deal with enterprise analytics being run on terabytes or petabytes of data.  However, this example shows how widespread social data analytics have become.  And, as I live in the wine country, this example is quite close to home.

 

Module:    Thinking at Scale: Introduction to Hadoop

You know your data is big – you found Hadoop. What implications must you consider when working at this scale? This lecture addresses common challenges and general best practices for scaling with your data.

 

Module: MapReduce and HDFS

Based on content from the popular book "Taming The Big Data Tidal Wave"; this talk cuts through the hype around big data and helps the audience better understand what they need to do to succeed with big data in their organizations starting today.

Behind the Big Data hype and buzzword storm are some fundamental additions to the analytic landscape.

Darryl McDonald, President of Teradata Applications, tweeted this link today:  a practical example of when many of the subjects discussed on this blog come together. 

The new Teradata Aster Express virtual images bring the powerful analytics of the Aster platform to any PC or workstation. 

Continuing on the “42” theme, Chris Anderson drills done on the impact of big data on health and agriculture

“42” is the Answer to the Ultimate Question of Life, the Universe, and Everything.  But for Big Data, the answer is simply “everything.” 

Ever wish they would fill-up the pothole quicker?  Municipalities are creating apps to allow the crowd to give them up-to-date notification of problems in the street.  This is in addition to the automated systems that tap into the stream of GPS and cell phone sign

One of the more infamous data usage stories over the last week concerned the removal of the iPhone app, “Girls Around Me.”  This app aggregated Foursquare and Facebook data via their respective APIs to generate a map, with pictures, of wo

We are very excited to introduce the Aster Express for VMware Player images.  Much like the very popular Teradata Express program, these downloadable Aster virtual images will provide customers with a free evaluation version of the Aster analytic platform that can be run on their PC.  While this Express edition is not licensed for production usage, it is a fully functional Aster cluster that is a great tool for developers and testers or anyone else who wants a hands-on introduction to this Big Data analytics platform.  Over the coming weeks and months here on Teradata's Developer Exchange, we will be publishing Aster tutorials, along with sample datasets, that will highlight the powers of this exciting platform.

I will admit it:  I did not “get” Twitter.  When it first came out, I could understand news organizations and media tweeting information, and well-known personalities tweeting the minutiae of their daily lives.  But I couldn’t understand the draw of the remaining 99% to also publish their lives on a real-time basis.  But my curmudgeonly world filter needs

Analytics are evolving to a new world from a focus on transactions to a focus on interactions. The analysis of detailed transactional data provide insight into the value created from customer relationships whereas the analysis of interaction provides insight into the experience provided to a customer.

Over the last couple of years, I have discussed on this blog a number of data explosions coming down the line that will have a huge impact on data warehouse implementations now and into the future.  Many of these topics now fall under the umbrella of “big data.”

Schumpeter wrote a column in last week’s Economist that did an excellent job in summarizing many of the big data sources that I have addressed on this blog.  It is based on a McKinsey Global Institute write-up