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Post Tagged with: Big Data Training

IT Companies Should NOT Hesitate to Milk Big Data

IT Companies Should NOT Hesitate to Milk Big Data

Big Data is being utilized by businesses in every field to answer questions and predict the future with more reliability than the traditional methods that were used before big data analytics came along. It is surprising that IT isn’t utilizing big data as much as they should.

IT, like most other businesses, needs to predict the future in terms of surprise requirements, new opportunities and threats and worst case scenarios. A lot of these questions can be answered by using big data analysis. All parts of IT; operations, security, customer service, forecasting etc. can benefit by using big data.

IT has access to a lot of data in terms of logs, traces, emails, counters, feedback, polls etc. that it can use to solve critical problems related to predicting future scenarios.

Big data

The Usual Solution

The solution that IT has been using till now is to purchase packaged applications for their services and in case of a unique solution, they tend to integrate their own solutions to the applications with the help of their unique business know how.

The new idea is to use all the data collected, both internally and externally and apply big data analysis to it to move on to the next level.

It’s Already Started

A few IT companies have already started utilizing big data because they see the potential behind it. EMC IT is using big data to analyze their data and predict potential issues with their app delivery system.

Some companies are starting to use the huge amount of data they have collected for security. Already certain applications exist that analyze security data but by creating their own applications companies can come up with better solutions for their unique security requirement.

Companies can also use big data to forecast how much money they’d need to spend in the coming year on upgrading their capacity to store, compute and analyze data.

IT Always Leads the Way

It has been seen that the IT is always the one that takes on new technologies and systems and gains enough domain expertise in the area to help other branches of business later.

The data already exists and the tools for analysis of this data also exist. It’s just a matter of time before all IT companies start using big data in new and creative ways to solve unseen problems and predict the future. It is easy to get started and a lot of money is not required to get into big data. We are going to see a game changing utilization of data in the near future, just as soon as the IT sector wakes up and smells the data.

Cloudera and Udacity partner to deliver Hadoop and Data Science training

Cloudera and Udacity partner to deliver Hadoop and Data Science training

Data education giants Cloudera and Udacity have formed a strategic partnership to address the shortage of big data skills by offering easily accessible online training for everyone. The partnership will offer open Hadoop and MapReduce Courses tailored to equip students with technical and analytical skills to have a great career in the emerging data market.

In the present scenario, as the amount of structured and unstructured data being generated and stored around the globe in various sectors has shot up considerably, there has been a significant rise in the enterprise demand for skilled and qualified workers.

Big data

Recently we read about Udacity introducing paid big data courses to bridge this widening gap of demand and supply, today we learn that Cloudera, a Apache Hadoop-powered market leader in enterprise analytic data management has partnered with Udacity, the online higher education provider, to deliver training on Hadoop and Data Science to anyone using Udacity’s easy to access online educational portal.

The course curriculum, which has be designed and developed by expert faculty at Cloudera University in collaboration with Udacity will equip the interested students with all the fundamental technical and analytical skills. The course is basically an introduction for Hadoop and MapReduce, understanding of which will help students kick start their careers in the every growing big data economy.

The course has been basically created to work as a support system for the shortage of skilled data professionals in the economy. With the course, Cloudera and Udacity are making available an open, state-of-the-art big data training within the reach of almost anyone who has access to the Internet and is passionate about learning the basics of Hadoop and MapReduce.

On completing this accessible course, students will have an opportunity to enroll in Cloudera University’s live professional training courses to earn certification for their professional training.

Via: MarketWired

11/22/20131 commentRead More
Hadoop – A Brief Introduction

Hadoop – A Brief Introduction

Earlier, it used to be a tough job to store enormous data sets on distributed server clusters. With technological advancements that poured in over the last two decades, however, it has become feasible to both store and analyze big chunks of data without having to shell out hefty budgets.

What is Hadoop and How does it work

One of the amazing techniques that enable easy storage of massive data sets and helps run distributed analysis applications in each cluster unit is known as Hadoop. It IS a big deal in big data and many experts recognize it as a major force.

Let’s get down to the basics.

What is Hadoop?

Basically, Hadoop is an open source software platform. It was introduced by the Apache Software Foundation. It is a simple yet effective technological solution that turned out to be highly useful in managing huge data, a mixture of structured and complex data in particular, quite efficiently and cheaply.

Hadoop has been specially designed to be strong enough to help big data applications run smoothly despite the failure of individual servers. This software platform is highly efficient and does not require applications to transport big data volumes across the network.

How does it Work?

Hadoop software library can be described as a framework which uses simple programming models to facilitate the distributed processing of huge data sets through clusters of computers. The library is not dependent on hardware for high-availability because it can find out and handle failure in the application layer itself. In a way, it delivers readily available services on top of a server of computers that are prone to failure.

Since Hadoop is fully modular, it allows you to swap out nearly all its machineries for a totally different software tool. The architecture is stout, flexible and efficient.

What are Hadoop Distributed File Systems? 

A distributed file-system for the storage of data and a data processing framework are two main parts of Hadoop. These two components play the most important role.

Technically, the distributed file-system is a compilation of storage clusters holding the actual data. Although Hadoop can use different file systems, it prefers to use Hadoop Distributed File Systems (which are cleverly named) for security reasons. Once placed in HDFS, your data stays right there until some operations are required to be performed on it. You can run an analysis on your data or export it to another tool right there within Hadoop.

Hadoop – Data Processing Framework

MapReduce is the default name of the java-based system that works as the data processing framework. We hear more about MapReduce as compared to HDFS  because it is the very tool that actually processes data and is a wonderful platform to work with.

Unlike a regular database, Hadoop does NOT involve queries, SQL (structured query language) or otherwise. Instead, it simply stores data that can be pulled out of it when required. It is a data warehousing system that simply needs a mechanism such as MapReduce for data processing.