ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. All Data is not Big Data and might not require a Hadoop solution.

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Hadoop Retail Healthcare Banking 40

Knowledge Hut

DECEMBER 13, 2023

In essence, new big data analytics technologies enable quick and effective analytical processes. Capgemini Capgemini is a major multinational corporation that offers consulting, technology, professional, and outsourcing services. It is an important big data technologies company.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Knowledge Hut

JUNE 23, 2023

Data engineering is one of the highest in-demand jobs in the technology industry and is a well-paying career. Operating system know-how which includes UNIX, Linux, Solaris, and Windows. Apache Hadoop-based analytics to compute distributed processing and storage against datasets.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

APRIL 1, 2016

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Source: [link] ) Syncsort makes Hadoop and Spark available in native Mainframe. March 1, 2016. March 4, 2016.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

ProjectPro

MARCH 23, 2016

We shouldn’t be trying for bigger computers, but for more systems of computers.” In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. Yes, Doug Cutting named Hadoop framework after his son’s tiny toy elephant.

Hadoop 40

Hadoop IT Big Data Retail 40

Knowledge Hut

JANUARY 12, 2024

Well, in a technologically advanced world, Cloud refers to a place where you can store and manage data on a device. The information technology industry is ever-changing and constantly evolving. Data centers and warehouses typically operate cloud computing systems of databases and software. What is Cloud Computing?

Cloud Computing 98

Cloud Computing Cloud Computer Science Programming Language 98

Knowledge Hut

NOVEMBER 28, 2023

They are people equipped with advanced analytical skills, robust programming skills, statistical knowledge, and a clear understanding of big data technologies. With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

SEPTEMBER 6, 2023

This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. It would immensely help people who are working with big data technologies, want to switch into big data technologies, and even other software professionals in terms of technological-awareness.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

OCTOBER 5, 2023

Specifically, the AWS Big Data Certification is for IT experts who want to gain experience and expertise working on AWS services and have 5 years of experience with Big Data technologies. The organizations can even ask the experts to help them create their systems using cloud and/or legacy components. Lakhs per year Pune ₹15.9

Big Data 52

Big Data AWS Certification Amazon Web Services 52

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

MAY 20, 2016

With petabytes of digital information surrounding us on any topic under the sun, we often forget the importance of reading a book , to gain in-depth understanding about the latest big data technologies. Table of Contents Why Hadoop- The Defintive guide is a must read book for Hadoop? Doug Cutting, Hadoop Founder, Yahoo!

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Hadoop Big Data Portfolio Data Ingestion 40

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

SEPTEMBER 1, 2016

News on Hadoop-August 2016 Latest Amazon Elastic MapReduce release supports 16 Hadoop projects. that is aimed to help data scientists and other interested parties looking to manage big data projects with hadoop. The EMR release includes support for 16 open source Hadoop projects. August 10, 2016. August 16, 2016.

Hadoop 40

Hadoop Unstructured Data Big Data Portfolio 40

ProjectPro

SEPTEMBER 11, 2015

Hadoop has now been around for quite some time. But this question has always been present as to whether it is beneficial to learn Hadoop, the career prospects in this field and what are the pre-requisites to learn Hadoop? The availability of skilled big data Hadoop talent will directly impact the market.

Hadoop 52

Hadoop Java BI Big Data 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. It is intended for those who want to learn the vocabulary and fundamental principles behind big data problems, applications, and systems. Course Length: 7 months Learn more about the program !

Certification 95

Certification Java Google Cloud Education 95

Knowledge Hut

MARCH 20, 2024

One of the most rapidly expanding and in-demand sectors to work in is information technology. Technology is advancing so quickly that there will always be chances in tech industries like software engineering for employment and financial gain. Combining databases and data sources into a single system. Who is a Software Engineer?

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

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 Metadata Java 52

ProjectPro

MAY 26, 2015

In view of the above we have launched Industry Interview Series – where every month we interview someone from the industry to speak on Big Data Hadoop use cases. We had the pleasure to invite Garima Batra, a core platform engineer at MobStac involved in the development of Beaconstac iOS SDK to speak on “How IoT leverages Hadoop?”

Hadoop 52

Hadoop Unstructured Data 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

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.

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Hadoop Unstructured Data ETL Tools ETL System 52

ProjectPro

NOVEMBER 5, 2014

Hadoop is the way to go for organizations that do not want to add load to their primary storage system and want to write distributed jobs that perform well. MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

ProjectPro

FEBRUARY 21, 2023

Apache Spark developers should have a good understanding of distributed systems and big data technologies. A good understanding of big data technologies like Hadoop, HDFS, Hive, HBase is important to be able to integrate them with Apache Spark applications. Working knowledge of S3, Cassandra, or DynamoDB.

Scala 52

Scala Programming Language Java Hadoop 52

ProjectPro

DECEMBER 7, 2016

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend?

Technology 40

Technology NoSQL Hadoop Data Mining 40

ProjectPro

MAY 13, 2016

Hadoop is the most talked about innovation in the IT industry that has shaken the entire data centre infrastructure at many organizations. As the appetite for Hadoop and related big data technologies grows at an exponential rate, it is not out to spell the death of data warehousing. Data warehousing as a technology is evolving.

Data Warehouse 40

Data Warehouse Hadoop Unstructured Data Big Data 40

ProjectPro

JUNE 4, 2015

All the components of the Hadoop ecosystem, as explicit entities are evident. All the components of the Hadoop ecosystem, as explicit entities are evident. The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem.

Hadoop 52

Hadoop Architecture IT Java 52

Knowledge Hut

NOVEMBER 2, 2023

While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time. Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

DECEMBER 21, 2023

With the rising demand for machine learning technologies in almost all sectors, there is also a soaring need for experts who are skilled in this field. Some of the responsibilities of machine learning engineers are as follows: The primary task of machine learning engineers is to design and develop the models of ML systems.

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 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

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

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.

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Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

JANUARY 31, 2023

Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Thus, to help you with a one-stop solution, this blog on 100+ big data interview questions and answers covers the most likely asked interview questions on big data based on experience level, job role, tools, and technologies.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

MARCH 21, 2016

Mainframe legacy systems might not be a part of technology conversations anymore but they are of critical importance to a business. Using Hadoop distributed processing framework to offload data from the legacy Mainframe systems, companies can optimize the cost involved in maintaining Mainframe CPUs.

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

JUNE 17, 2016

You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. Location and industry – Locations and industry helps recruiters sift through your LinkedIn profile on the available Hadoop or data science jobs in that locations.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

Knowledge Hut

NOVEMBER 7, 2023

With quick access to various technologies through the cloud, you can develop more quickly and create almost anything you can imagine. Data analytics and other advanced technologies are used by healthcare companies to uncover, visualize, and diagnose clinical and medical device data problems.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Christophe Blefari

MARCH 11, 2023

First Mark is a NYC VC, in their portfolio they have Dataiku, ClickHouse and Astronomer among other tech or B2C companies. Other are also afraid of a contagion to the whole banking system as the SVB collapse is the second-largest collapse of the US history. Evolution between 2012 and 2023. Yep, you read it well.

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Banking Data Machine Learning Insurance 130

ProjectPro

MAY 18, 2016

Big data industry has made Hadoop as the cornerstone technology for large scale data processing but deploying and maintaining Hadoop clusters is not a cakewalk. The challenges in maintaining a well-run Hadoop environment has led to the growth of Hadoop-as-a-Service (HDaaS) market. from 2014-2019.

Hadoop 40

Hadoop Google Cloud Cloud Computing Big Data 40