4 Ways Big Data Benefits Any Size Service Desk

Big data delivers big benefits to the IT service desk, and the impact is seen in every ITSM role from the administrator to the business user

Yet, there is an unfounded concern that big data is too big for all but the largest enterprises

With a seamless SaaS solution, there is no big implementation overhead and the service desk can enjoy big data benefits simply and quickly

During this webinar, we will look at four ITSM roles and demonstrate how each canleverage big data on any size or type of service desk including Line of Business (LoB), mid-size, and larger organizations or enterprises

Using live demonstration we will show how big data can impacts the workflow of these four key Service Desk roles: Business end user Process manager Live support agent Service desk manager Hadoop Training Chennai Call: +91 9789968765 / +91 99627 74619 / 044 42645495 Weekends - April 4, 2015, April 18, 2015 Weekdays - April 6 - 10, 2015 | April 20 - 24, 2015 (Chennai) [ Fast Track] Online - April 20, 2015 5 Days (Bangalore) April 18 - 22' 2015.

Apache Tajos Big Data warehouse comes to Hadoop

The Apache Software Foundation (ASF) has just announced the relatively unknown Apache Tajo open source data warehouse software is ready for commercial use, almost two years after it first became a top-level project, and five years after its development began

Tajo is an SQL-on-Hadoop platform thats designed to help organizations extract more intelligence from their Hadoop deployments, and its first official release comes with updates that provide more connectivity to third-party databases like Oracle and PostGreSQL, plus Java programs

The software helps analyze data stored on the Hadoop Distributed File System (HDFS), as well as other data sources like Amazon S3, Openstack Swift and local file systems

Although less well-known, its somewhat similar to solutions like Apache Hive and Clouderas Impala, providing an extract, transform and load (ETL) feature set and an extensible query re-write system that lets users and external programs query data through SQL

The software could be a good fit for organizations that have outgrown their commercial data warehouses, writes Joab Jackson in Computerworld

On top of that, it could also be a useful solution for companies looking to analyze Hadoop data using more familiar commercial businesses intelligence tools, rather than the MapReduce framework.

Information is changing the way we live

Even if we arent certain what to make of big data, we all know that its, well, big

The phrase is suddenly everywhere, tripping off the tongue in domains from marketing to management to medicine

Newly massive and complex data sets, along with advanced methods of probing them, it is said, are remaking our world

Whether one believes that big data is the key to solving intractable social problems or, instead, the source of new ones say, surveillance at an unprecedentedly intimate scale we surely can agree that careful assessments of the phenomenon are in order

Enter Steve Lohr, a longtime technology reporter for the New York Times

Lohr was investigating big data before it was Big Data, and that experience lends him a somewhat different vantage point on what he calls data-ism (a word coined by his Times colleague David Brooks) from those of other devotees and detractors

His book, Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else, is a dispatch from the field, a chronicle of the present state of big data and the possible future it portends

But first: What is data-ism? Lohr describes it as a transformative way of measuring and seeing, born of improved methods of analyzing data of all kinds, from browsing histories to GPS locations to genomic information

Powerful algorithms, as well as machine-learning software and artificial intelligence technologies that can sense and communicate are at its core

More important, Lohr calls data-ism a point of view, or philosophy, about how decisions will be and perhaps should be made in the future.

Big Data Workshop @Bangalore, April 18 - 22,2015

Big Data Training for 5-days at Bangalore on April 18 22, 2015 Training will begin promptly at 10:00am and conclude at 5:00pm BigDataTraining.IN is the only software institute which offers in-depth classroom & online training in different Cutting edge Technologies Cloud & BigData software courses with projects (multiple domains), presentations, classroom notes, interview preparation and resume support

Register now ! +91-9789968765, 044-42645495 www.bigdatatraining.in Course Outline : What is Big Data & Why Hadoop? Hadoop Overview & its Ecosystem HDFS Hadoop Distributed File System Map Reduce Anatomy Developing Map Reduce Programs Advanced Map Reduce Concepts Advanced Map Reduce Algorithms Advanced Tips & Techniques Monitoring & Management of Hadoop Using Hive & Pig ( Advanced ) HBase NoSQL Sqoop Flume Zookeeper Oozie Deploying Hadoop on Cloud Hadoop Best Practices and Use Cases Extensively a practical oriented training Key Features : * Practice on production level Cloud Servers * Primary focus hands-on sessions * Real time Task Assignment POC / our Big Data Analytics Platform * Learn the way Industry Wants Big data training with Production Level UseCases * Also Learn Hadoop v2 YARN, Microsoft HDInsights, Apache Solr, Apache Tez, Apache Storm, From Our Tech Architects Course Completion Certificate + BigData Associate Certificate unique verification code Work on Realtime POC Project www.bigdatatraining.in email: info@bigdatatraining.in Special discounts for Early bird registration (upto 15%) Group discounts available Registrations Open: +91 97899 68765 / 044 42645495

big data dominance

What does Cloudera want to be when it grows up? That was the question one analyst asked Cloudera co-founder and chief strategy officer Mike Olson at the company's analyst day this week, to which Olson responded, 'We want to be the big data company' -- not any big data company, but the big data company

By some measures, Cloudera is well on its way toward the goal, with competitors like Pivotal dropping their Hadoop ambitions -- which led Cloudera CEO Tom Reilly to effectively declare victory

But in fact, the market is still wide open

The dawn of big data Hadoop creator and Cloudera chief architect Doug Cutting made the point himself: Hadoop adoption has been doubling each year, which means half the users are newbies

As such, it's not surprising that 'lots of Hadoop use is early-stage.'

With Big Data, HR Departments Too Often Get Short Shrift

The importance of using big data to drive informed decision-making has become socialized across most organizations recently

While finance, marketing and other departments within a company receive customized data and analytics systems, human resources is still left with big data hand-me-downs

There is no one-size-fits-all blueprint for big-data infrastructure

Companies invest heavily to customize big-data and analytics tools, often on a department-by-department basis, to ensure the insights inform specific needs and strategies

Unfortunately for human resources, it is often revenue-driving departments that receive customized tools, leaving human resources to make use of infrastructure that simply doesnt fit

Human-resource departments generate and collect more data than most other areas of a company, but our attempts to claim big data for our own often get mired in technology infrastructure and analytics tools that were never intended to meet the needs of a modern HR organization.http://on.wsj.com/1AB0EWF

Big Data Predictions for 2014

Big Data Predictions for 2014

Big data was seen as one of the biggest buzzwords of 2013 and organizations are using a great deal on Big data analytics.  The storage and analysis of large and/or complex data sets utilizing an arrangement of procedures including, not restricted to: Nosql, Mapreduce and machine learning. Organizations are executing big data activities to enhance operational choice making over the undertaking.

In 2014, data analysts will be engaged through simple to-utilize device that influence the bits of knowledge of data researchers, by giving constant gauges and suggestions in their normal business apparatuses. Better investigation will make data dissection more successful, while computerization arranges for data researchers to concentrate on key activities and opening further esteem in corporate data saves. Here are 10 Big Data Predictions for 2014.

1. Big data-as-a-service will become a big deal
Regardless of cases from analysts that all organizations will look to contract data researchers, this simply isn't going to happen. Firstly, there's a deficit of data researchers, which goes somehow in clarifying why organizations are retraining existing staff to work with big data) and furthermore, not all organizations are prepared to (nor do they have to) put resources into full-time data researchers to investigate and demonstrate their data.

Rather, in the same way that in different ranges, I want a wave of organizations hustling to enter the big data-as-an administration space, a thought that started to crawl into the last parts of 2013. This could be anything from little and medium organizations joining to anything from whole bundles of putting away, examining, clarifying and picturing data to more conservative administrations, which concentrate on exchanging data to cloud-based servers to consider an open method for addressing the data later on.

2. Hadoop is an open-source software

Hadoop, famously named after a toy elephant, is a well-known piece of software to anyone curious about data science and it provides the backbone for many big data systems, allowing businesses to store and analyse masses of data. Most importantly, it’s open source, which means that its implementation was inexpensive, allowing many organisations to understand, rather than ignore, the data they were collecting.

3.Big data innovation in the open-source community

“New open-source projects like Hadoop 2.0 and YARN, as the next-generation Hadoop resource manager, will make the Hadoop infrastructure more interactive. New open-source projects like STORM, a streaming communications protocol, will enable more real-time, on-demand blending of information in the big data ecosystem,” wrote Quentin Gallivan, CEO of business analytics software firm Pentaho,

4.From Big Data to Extreme Data

The volume, velocity and variety of data will continue to grow exponentially in 2014, simpler analytics tools will be needed to leverage the “data deluge.”

“It’s more than the three Vs—volume, velocity, and variety—that make big data such a difficult tiger to tame,” the IEEE says. “It’s that the technology world hasn’t quite caught up with the need for trained data scientists and the demand for easy-to-use tools that can give industries—from financial and insurance companies to marketing, healthcare, and scientific research organizations—the capability to put the data they gather into meaningful perspective. The current era of extreme data requires new paradigms and practices in data management and analytics, and in 2014 the race will be on to establish leaders in the space.”

5. 2014 will be the year of SQL on Hadoop

“I think you’ll see people start building interactive applications on the Hadoop infrastructure. And what I mean by that — and I think this is probably the most controversial thing — is that people will start replacing their first-generation relational databases with SQL on Hadoop,” said Monte Zweben, CEO of SQL-on-Hadoop database startup Splice Machine