Big data: changing the way businesses compete and operate

Big data will fundamentally change the way businesses compete and operate. Companies that invest in and successfully derive value from their data will have a distinct advantage over their competitors — a performance gap that will continue to grow as more relevant data is generated, emerging technologies and digital channels offer better acquisition and delivery mechanisms, and the technologies that enable faster, easier data analysis continue to develop.

What is big data?

Big data refers to the dynamic, large and disparate volumes of data being created by people, tools and machines. It requires new, innovative and scalable technology to collect, host and analytically process the vast amount of data gathered to derive real-time business insights that relate to consumers, risk, profit, performance, productivity management and enhanced shareholder value.

Big data includes information garnered from social media, data from internet-enabled devices (including smartphones and tablets), machine data, video and voice recordings, and the continued preservation and logging of structured and unstructured data. It is typically characterized by the four “V’s”:

Volume: the amount of data being created is vast compared to traditional data sources

Variety: data comes from different sources and is being created by machines as well as people

Velocity: data is being generated extremely fast — a process that never stops, even while we sleep

Veracity: big data is sourced from many different places, and as a result you need to test the veracity/quality of the data.

Organizations must understand what insights they need to make good strategic and operational decisions.

Asterix Solution is Organization which provide Big Data Hadoop Training in Mumbai to develop career of interested students in Big Data Hadoop. With the course Asterix Solution provides 3 months internship and 2 live project working experience. 

How much Java should you know for Big Data Hadoop Training

Apache Hadoop is an open-source software framework for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.

Hadoop can basically be divided into two major components

1.      HDFS(Hadoop Distributed File System)

2.      MapReduce

Basic Factors about Hadoop

-          Hadoop only runs on Linux powered Operating Systems such as Ubuntu, RedHat.

-          Hadoop is written and developed using Java.

As Hadoop is written in Java doesn't mean that working with Hadoop requires you to be a master in Java.

But basic building blocks of Java are required to be clear before you start working on Hadoop.

So here is the list of the topics you should be familiar if you need to start working in Hadoop.

Objects and Classes

A class is nothing but a blueprint or a template for creating different objects which defines its properties and behaviors. Java class objects exhibit the properties and behaviors defined by its class. A class can contain fields and methods to describe the behavior of an object.

Arrays

Java provides a data structure, the array, which stores a fixed-size sequential collection of elements of the same type. An array is used to store a collection of data, but it is often more useful to think of an array as a collection of variables of the same type.

Control Flow Statements

- In Java, the statements inside any source file are executed in an ascending order, i.e from top to bottom. Control flow statements are commands that allow breaks in the execution pattern. You can actually customize and execute particular blocks of code in your source file - using control flow statements.

Inheritance

Inheritance in java is a mechanism in which one object acquires all the properties and behaviors of parent object.

The idea behind inheritance in java is that you can create new classes that are built upon existing classes. When you inherit from an existing class, you can reuse methods and fields of parent class, and you can add new methods and fields also.

Inheritance represents the IS-A relationship, also known as parent-child relationship.

Interfaces

It is similar to class. It is a collection of abstract methods. A class implements an interface, thereby inheriting the abstract methods of the interface. Along with abstract methods, an interface may also contain constants, default methods, static methods, and nested types.

Asterix Solution with its 60 hours specialized Big Data Hadoop Training in Mumbai

Provides good opportunities for getting you placed as a Hadoop Developer. 

Learn Hadoop – Key to Success in Big Data Career

According to a Forbes report of 2015, about 90% of global organizations report medium to high levels of investment in big data analytics, and about a third call their investments “very significant.” Most importantly, about two-thirds of respondents report that big data and analytics initiatives have had a significant, measurable impact on revenues.

Hadoop provides you with means to ramp up your career and gives you the following advantages:

– Accelerated career growth.

– Increased pay package due to Hadoop skill.

– Hadoop training provided by Asterix Solution comprises of live case studies and industry based examples.

– Hadoop will be helpful for IT professional to enhance the skill set.

– Hadoop training course is designed to provide knowledge & skills to become a finest Hadoop Developer & Administrator.

– Big Data Training fast tracks your career in the Big Data Analytics domain.

– Hadoop Course is designed for students, fresher’s, working professionals up to 20 years experienced for upgrading their skills

– Big Data Course will be useful to clear global certifications like Cloud era, Hortonworks, Map R etc.

– Big Data Hadoop Training in Mumbai provided by Asterix Solution gives professional training for Big Data and Hadoop. Training program includes Architecture, Installation, Configuration of Hadoop, MapReduce, Pig, Hive, Sqoop etc. 

–        With the Big Data Hadoop Training Asterix Solution provides Interview sessions and live project working experience.

– Big Data needs 1.5 million managers by 2018 statistics from McKinsey Global Report

– Average salary of Big Data Hadoop Developer is $135k: Indeed.com Salary Data

– Hadoop Training Instructors in Asterix Solution are highly experienced qualified professionals with experience of 10+ years.

[ Source : http://techdatasolution.co.in/blog/learn-hadoop-key-success-big-data-career/ ]

How To Bag Top Big Data Jobs

In 2016, enterprises are looking towards investing in advanced data-driven activities. So, the global big data job market has seen an unprecedented rise that makes aspirants want to know “How to bag top Big Data jobs.” Are you one of them?

Dynamic, data driven changes are the primary reasons that have actually enabled the big data job market to grow at an intense pace. And not surprisingly so! According to a Forbes’ report, the world is going to witness 96.29% growth in demand for big data skill in 2016. Today, the most sought after talents in the big data jobs market – be it quantitative analysts and managers, data scientists, DBAs, or database technology engineers - are making it to the list of ‘most wanted’, and how!

Demand Outpaces Supply!

The reality of the fast-growing big data job market is that the required set of skills and expertise are pretty difficult to find; this is because the big data roles demand a high level of analytical and practical expertise. The overall talent supply in this field is increasing, but then, the demand is mounting at a double pace to override the supply. If you have jumped on the bandwagon, and are looking for proven ways of ‘how to bag top big data jobs,’ then you are in the right place indeed.

A Note to Smart Job Seekers!

You know your skills well, right! Forget about the demand and supply equation, now concentrate on keeping your skills as sharp as possible. Ask yourself a question: “Do I have the skills to become a key player in the initiatives of the industries in big data job market?” If the soul inside you, replies in a “yes”, then trust me…. It is the best time! The big data job market players will surely be on the lookout for you.

Want to test yourself? Here we are going to present certain identified skills normally sought by the industries in big data job market.

Skills that will help you to “Garner” Yourself

So here comes the list with proper reasoning:

1. Check out your philosophy

Strategic employers in the big data job market are now hunting for well-rounded employees for their big data initiatives. Studies and researches have depicted that the candidates who have a very strong understanding of philosophy are ultimately the best candidates for the top big data jobs. So, the employers for sure, would want you to match your philosophical background with the ability benchmark to apply big data to their business challenges.

2. Do you take your time to understand people’s mentality?

Attention IT pros! The recruiters of the big data job market would like to evaluate whether you have the ability to understand not only the data but also the customers or users who generate big chunk of that data. So, job seekers! Gear up to equip yourself with this skill if you do not have it already. Learn the reason behind understanding users and also the process of how you are going to utilize your understanding for the company’s betterment via big data.

3. Do you have statistical or mathematical background?

This is actually what big data job market is all about! If you have a strong skill of reasoning quantifiably, and possess a degree in either mathematics or statistics, then you are already halfway “in” to the big data world. For enhancing your abilities, obtain an expertise certification in statistical tools such as SAS, R, SPSS, Matlab or Stata. And you can lock down the top big data job in your briefcase – and with a bang!

4. Do not confine yourself to analytics alone!

Having a good hand upon general purpose programming language like Java, C, Python or Scala, would provide you a competitive advantage over other candidates searching for top big data jobs. Try not to get confined to just analytical skills and add this comprehensive expertise as well. According to the study of “Wanted Analytics”, the world had witnessed a 337 % rise in the number of job offers for computer programmers that necessitated the presence of a data analytical background.

5. Are you creative and possess problem solving ability?

If you have the ability to think about problem solving ideas in your own way, nothing can stop you from bagging your dream big data job. Top Big data implementation processes and the present technologies will obviously deviate for opening doors to new versions… but nothing can replace your natural desire to find solutions to the problems on hand. If you have it in you, then you will never feel any scarcity of big data jobs coming your way.

Way Ahead- Opportunities for Hadoopers

Good news for the Hadoopers out there!

The big data Hadoop job market is a continuously growing one; with the hiring demand for Hadoopers depicting an exponential curve. In regards to this, opportunities for Hadoopers are really infinite. Hadoop Developer, Hadoop Tester, Hadoop Architect and many more! If banging on and handling BIG data jobs is your passion, then leave thinking anymore and sign up for more new exciting facts about Hadoop jobs and Hadoopers.

Let us know your views about the current Big Data job marker and what you’ve done to carve a niche for yourself in this industry. We will wait to hear from you.

So Big Data Hadoop Training in Mumbai will helps students for high payment job. Asterix Solution provides professional Hadoop training with 100% Placement assistant  to become a Hadoop Developer.

[ source : 

https://bigdatahadooptrainingmumbai.wordpress.com/2016/09/26/how-to-bag-top-big-data-jobs/ ]