ProjectPro

MAY 29, 2015

Professionals looking for a richly rewarded career, Hadoop is the big data technology to master now. Big Data Hadoop Technology has paid increasing dividends since it burst business consciousness and wide enterprise adoption. According to statistics provided by indeed.com there are 6000+ Hadoop jobs postings in the world.

Hadoop 52

Hadoop Big Data Banking NoSQL 52

ProjectPro

NOVEMBER 10, 2016

Let’s help you out with some detailed analysis on the career path taken by hadoop developers so you can easily decide on the career path you should follow to become a Hadoop developer. What do recruiters look for when hiring Hadoop developers? Do certifications from popular Hadoop distribution providers provide an edge?

Hadoop 52

Hadoop NoSQL Java Electronics 52

Knowledge Hut

DECEMBER 26, 2023

Create a systematic, data-driven strategy for calculating predicted returns and risks for major asset classes and optimal portfolios. Java Training: The Java training course is designed to provide individuals with the skills and knowledge necessary to become Java programmers.

Certification 95

Certification Java Google Cloud Education 95

ProjectPro

JANUARY 12, 2016

Choosing the right Hadoop Distribution for your enterprise is a very important decision, whether you have been using Hadoop for a while or you are a newbie to the framework. Different Classes of Users who require Hadoop- Professionals who are learning Hadoop might need a temporary Hadoop deployment.

Hadoop 52

Hadoop Big Data Java Metadata 52

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Table of contents Hive vs Pig What is Big Data and Hadoop?

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

NOVEMBER 6, 2015

Hadoop has continued to grow and develop ever since it was introduced in the market 10 years ago. Every new release and abstraction on Hadoop is used to improve one or the other drawback in data processing, storage and analysis. Apache Hive is an abstraction on Hadoop MapReduce and has its own SQL like language HiveQL.

Hadoop 52

Hadoop SQL Java Metadata 52

ProjectPro

JUNE 9, 2015

Big Data Hadoop skills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming big data to valuable information and the power of Hadoop in impeding it. The talent pool is huge.”

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

JULY 13, 2015

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

SEPTEMBER 30, 2014

Hadoop’s significance in data warehousing is progressing rapidly as a transitory platform for extract, transform, and load (ETL) processing. Mention about ETL and eyes glaze over Hadoop as a logical platform for data preparation and transformation as it allows them to manage huge volume, variety, and velocity of data flawlessly.

Hadoop 52

Hadoop ETL Tools Unstructured Data ETL System 52

ProjectPro

SEPTEMBER 14, 2016

A lot of people who wish to learn hadoop have several questions regarding a hadoop developer job role - What are typical tasks for a Hadoop developer? How much java coding is involved in hadoop development job ? What day to day activities does a hadoop developer do?

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

Knowledge Hut

JUNE 3, 2024

Therefore, the most important thing to know is programming languages like Java, Python, R, SAS, SQL, etc. Additionally, a data scientist understands Big Data frameworks like Pig, Spark, and Hadoop. A certification in a Data Science course is highly recommended to develop the portfolio.

Programming Language 96

Programming Language Data Science Entertainment Banking 96

ProjectPro

MARCH 23, 2016

And so spawned from this research paper, the big data legend - Hadoop and its capabilities for processing enormous amount of data. Same is the story, of the elephant in the big data room- “Hadoop” Surprised? Yes, Doug Cutting named Hadoop framework after his son’s tiny toy elephant. Why use Hadoop?

Hadoop 40

Hadoop IT Big Data Portfolio 40

ProjectPro

MAY 20, 2016

We usually refer to the information available on sites like ProjectPro, where the free resources are quite informative, when it comes to learning about Hadoop and its components. ” The Hadoop Definitive Guide by Tom White could be The Guide in fulfilling your dream to pursue a career as a Hadoop developer or a big data professional. .”

Hadoop 40

Hadoop Big Data Portfolio Coding 40

ProjectPro

MARCH 27, 2014

With big data gaining traction in IT industry, companies are looking to hire competent hadoop skilled talent than ever before. If the question is, does the certification make a difference in getting job as a Hadoop developer , Hadoop Architect or a Hadoop admin - here is the answer. billion by the end of 2017.

Hadoop 40

Hadoop Big Data Java Data Mining 40

ProjectPro

FEBRUARY 4, 2016

We know that big data professionals are far too busy to searching the net for articles on Hadoop and Big Data which are informative and factually accurate. We have taken the time and listed 10 best Hadoop articles for you. To read the complete article, click here 2) How much Java is required to learn Hadoop?

Hadoop 40

Hadoop Java Retail Big Data 40

ProjectPro

NOVEMBER 24, 2014

Hadoop (Hadoop 1.0) has progressed from a more restricted processing model of batch oriented MapReduce jobs to developing specialized and interactive processing models (Hadoop 2.0). With the advent of Hadoop 2.0, In this piece of writing we provide the users an insight on the novel Hadoop 2.0 to Hadoop 2.0.

Hadoop 40

Hadoop Programming Big Data Unstructured Data 40

ProjectPro

APRIL 11, 2016

Let’s face it; the Hadoop Interview process is a tough cookie to crumble. If you are planning to pursue a job in the big data domain as a Hadoop developer , you should be prepared for both open-ended interview questions and unique technical hadoop interview questions asked by the hiring managers at top tech firms.

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

ProjectPro

MAY 19, 2015

It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. With Hadoop, even the impossible things look so trivial. So the big question is how is learning Hadoop helpful to you as an individual?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

ProjectPro

JUNE 30, 2016

This blog post gives an overview on the big data analytics job market growth in India which will help the readers understand the current trends in big data and hadoop jobs and the big salaries companies are willing to shell out to hire expert Hadoop developers. It’s raining jobs for Hadoop skills in India.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

FEBRUARY 18, 2016

Apache Hadoop, an open source framework is used widely for processing gigantic amounts of unstructured data on commodity hardware. Four core modules form the Hadoop Ecosystem : Hadoop Common, HDFS, YARN and MapReduce. Hadoop requires a workflow and cluster manager, job scheduler and job tracker to keep the jobs running smoothly.

Hadoop 40

Hadoop Management Java Metadata 40

Knowledge Hut

JUNE 25, 2024

There are numerous large books with a lot of superfluous java information but very little practical programming help. This book introduces data scientists to the Hadoop ecosystem and its tools for big data analytics. This book introduces data scientists to the Hadoop ecosystem and its tools for big data analytics.

Data Science 97

Data Science Python Hadoop Media 97

ProjectPro

SEPTEMBER 26, 2014

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services. Big data, multi-structured data, and advanced analytics.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

APRIL 4, 2015

With the help of our best in class Hadoop faculty, we have gathered top Hadoop developer interview questions that will help you get through your next Hadoop job interview. IT organizations from various domains are investing in big data technologies, increasing the demand for technically competent Hadoop developers.

Hadoop 40

Hadoop Big Data Recruitment Java 40

ProjectPro

MARCH 23, 2015

In one of our previous articles we had discussed about Hadoop 2.0 YARN framework and how the responsibility of managing the Hadoop cluster is shifting from MapReduce towards YARN. In one of our previous articles we had discussed about Hadoop 2.0 Here we will highlight the feature - high availability in Hadoop 2.0

Hadoop 40

Hadoop Big Data Architecture Metadata 40

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business. Table of Contents Why use R on Hadoop?

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

APRIL 29, 2015

In the next 3 to 5 years, more than half of world’s data will be processing using Hadoop. This will open up several hadoop job opportunities for individuals trained and certified in big data Hadoop technology. According to Forbes, the median advertised salary for professionals with big data expertise is $124,000 a year.

Hadoop 40

Hadoop Certification IT Big Data 40

Edureka

APRIL 17, 2023

As a data analytics professional, building a strong portfolio of projects is essential to showcase your skills and expertise to potential employers. This article will discuss nine data analytics project ideas for your portfolio. A well-curated portfolio can help you stand out from other candidates when applying for jobs.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

ProjectPro

MARCH 21, 2016

Using Hadoop distributed processing framework to offload data from the legacy Mainframe systems, companies can optimize the cost involved in maintaining Mainframe CPUs. Need to Offload Data from Mainframes to Hadoop Mainframe legacy systems account for 60% of the global enterprise transactions happening today.70%

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

JULY 6, 2015

This is the reality that hits many aspiring Data Scientists/Hadoop developers/Hadoop admins - and we know how to help. What do employers from top-notch big data companies look for in Hadoop resumes? How do recruiters select the best Hadoop resumes from the pile? What recruiters look for in Hadoop resumes?

Hadoop 40

Hadoop Big Data Recruitment Big Data Skills 40

ProjectPro

MARCH 10, 2016

Table of Contents LinkedIn Hadoop and Big Data Analytics The Big Data Ecosystem at LinkedIn LinkedIn Big Data Products 1) People You May Know 2) Skill Endorsements 3) Jobs You May Be Interested In 4) News Feed Updates Wondering how LinkedIn keeps up with your job preferences, your connection suggestions and stories you prefer to read?

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

Knowledge Hut

JANUARY 12, 2024

It may be necessary to have more experience or education, and working knowledge of specific languages and operating systems, such as Java, PHP, or Python, may be required. Languages like Java, Ruby, and PHP are in great demand. Learning MySQL and Hadoop can be pleasant. It powers many web pages in applications.

Cloud Computing 98

Cloud Computing Cloud Computer Science Programming Language 98

ProjectPro

SEPTEMBER 9, 2021

The datasets are usually present in Hadoop Distributed File Systems and other databases integrated with the platform. Hive is built on top of Hadoop and provides the measures to read, write, and manage the data. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects PREVIOUS NEXT <

Hadoop 52

Hadoop Big Data Tools Java SQL 52

ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. Here are top 6 big data analytics vendors that are serving Hadoop needs of various big data companies by providing commercial support. The Global Hadoop Market is anticipated to reach $8.74 billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

ProjectPro

APRIL 2, 2015

Become a Hadoop Developer By Working On Industry Oriented Hadoop Projects When Target statistician Andrew Pole built a data mining algorithm which ran test after test analyzing the data, useful patterns emerged which showed that consumers as a whole exhibit similar purchase behaviors.

Retail 40

Retail Hadoop Big Data Data Mining 40