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? By 2018, the Big Data market will be about $46.34 Big Data is not going to go away.

Hadoop 52

Hadoop Java BI Big Data 52

Ripple Engineering

JULY 9, 2024

We recently embarked on a significant data platform migration, transitioning from Hadoop to Databricks, a move motivated by our relentless pursuit of excellence and our contributions to the XRP Ledger's (XRPL) data analytics.

Hadoop 96

Hadoop Data Lake Machine Learning Raw Data 96

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

AUGUST 25, 2016

Considering the Hadoop Job trends in 2010 about Hadoop development, there were none as organizations were not aware of what Hadoop is all about. What’s important to land a top gig as a Hadoop Developer is Hadoop interview preparation.

Hadoop 40

Hadoop Big Data Data Lake Programming Language 40

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

ProjectPro

SEPTEMBER 13, 2016

Tech Mahindra has its own Hortonworks certified analytics platform for big data solutions popularly known as TAP (Tech Mahindra Analytics Platform). TAP addresses the changing requirements of clients with a wide range of use cases in big data analytics.

Hadoop 40

Hadoop Big Data BI Kafka 40

ProjectPro

AUGUST 22, 2016

Hadoop has superlatively provided organizations with the ability to handle an exponentially growing amount of data and Capgemini is no different when it comes to using Hadoop for storing and processing big data. Practice as many hands-on projects on various tools in the Hadoop Ecosystem.

Hadoop 40

Hadoop Big Data Cloud Computing Consulting 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

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

JUNE 30, 2016

Now, a big-data driven news app for India. 23K jobs for big data analytics in Bengaluru. Data analytics firms gear up to lure the best talent as the demand for specialised talent increases. TCS partners with four colleges to offer courses in Big Data. June 7, 2016. Gizmodo.in Feb 23, 2016. Times of India.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

FEBRUARY 10, 2016

It is difficult to believe that the first Hadoop cluster was put into production at Yahoo, 10 years ago, on January 28 th , 2006. Ten years ago nobody was aware that an open source technology, like Apache Hadoop will fire a revolution in the world of big data. Happy Birthday Hadoop With more than 1.7

Hadoop 40

Hadoop Big Data Programming Project 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

MARCH 25, 2015

Table of Contents Big Data in Telecom How big the telecommunication industry really is? The need for a scalable and robust Big data telecom solution As is the case in most other industries, Apache Hadoop has come to the rescue for the Telecom sector as well in Telecom data analytics for providing real time monitoring and Big data solutions.

Telecommunication 40

Telecommunication Hadoop Electronics Big Data 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 Warehouse 40

Data Warehouse Hadoop Unstructured Data Big Data 40

ProjectPro

SEPTEMBER 16, 2015

A lot of companies today are looking for Big Data solutions to maintain a competitive edge in the market. Industries are adopting Hadoop at a huge scale. The popularity of Hadoop is mainly because of its unique distributed computing system which stores and analyses data both structured and unstructured.

Hadoop 40

Hadoop BI Big Data Data Analytics 40

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 Big Data Cloud Computing 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. However, experts predict a major shortage of advanced analytics skills over the next few years.

Hadoop 40

Hadoop Certification IT Big Data 40

ProjectPro

APRIL 2, 2015

Retail big data analytics is the future of retail as it separates the wheat from the chaff. Retail industry is rapidly adopting the data centric technology to boost sales. Retailers who use predictive analytics achieve 73% higher sales than those who have never done it. billion in 2014 to $4.5 billion dollars in 2019.

Retail 40

Retail Hadoop Big Data Data Mining 40

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Amaterasu — is a deployment tool for data pipelines.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

ProjectPro

MARCH 29, 2016

Cracking a Hadoop Admin Interview becomes a tedious job if you do not spend enough time preparing for it.This article lists top Hadoop Admin Interview Questions and Answers which are likely to be asked when being interviewed for Hadoop Adminstration jobs. Table of Contents How to prepare for a Hadoop Admin Interview?

Hadoop 40

Hadoop Big Data Portfolio Utilities 40

ProjectPro

NOVEMBER 7, 2016

Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.

Hadoop 40

Hadoop Architecture IT Big Data 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

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 27, 2023

The Latest Big Data Statistics Reveal that the global big data analytics market is expected to earn $68 billion in revenue by 2025. No doubt companies are investing in big data and as a career, it has huge potential. The more effectively a company is able to collect and handle big data the more rapidly it grows.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

MAY 23, 2015

It takes in approximately $36 million dollars from across 4300 US stores everyday.This article details into Walmart Big Data Analytical culture to understand how big data analytics is leveraged to improve Customer Emotional Intelligence Quotient and Employee Intelligence Quotient. How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

SEPTEMBER 6, 2023

Data Science Bootcamp course from KnowledgeHut will help you gain knowledge on different data engineering concepts. It will cover topics like Data Warehousing,Linux, Python, SQL, Hadoop, MongoDB, Big Data Processing, Big Data Security,AWS and more. Thus, providing a large range of spectrum to choose from.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

SEPTEMBER 6, 2023

Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

MARCH 16, 2015

Scientific research labs, hospitals and other medical institutions are leveraging big data analytics to reduce healthcare costs by changing the models of treatment delivery. Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40

Knowledge Hut

DECEMBER 26, 2023

However, if they are properly collected and handled, these massive amounts of data can give your company insightful data. We will discuss some of the biggest data companies in this article. So, check out the big data companies list. What Is a Big Data Company? Amazon - Amazon's cloud-based platform is well-known.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

FEBRUARY 8, 2017

.” said the McKinsey Global Institute (MGI) in its executive overview of last month's report: "The Age of Analytics: Competing in a Data-Driven World." 2016 was an exciting year for big data with organizations developing real-world solutions with big data analytics making a major impact on their bottom line.

Big Data 40

Big Data Hadoop Data Lake Machine Learning 40

Knowledge Hut

JUNE 23, 2023

You should be well-versed in Python and R, which are beneficial in various data-related operations. Apache Hadoop-based analytics to compute distributed processing and storage against datasets. Machine learning will link your work with data scientists, assisting them with statistical analysis and modeling. What is HDFS?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

MARCH 7, 2016

In this constantly changing world of big data tools and technologies, project managers and hiring managers often do not know what to look for in a particular candidate, while hiring for big data job roles. It is necessary for individuals to bridge the wide gap between the academia big data programs and the industry practices.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Knowledge Hut

JANUARY 18, 2024

This means that participants will need to be able to work with data in a variety of ways and use their analytic skills to come up with solutions. Host: The competition is sponsored by Hadoop World, a leading conference and exposition on big data and analytics, and the BigData Women's Group hosts it.

Data Science 98

Data Science Recruitment Big Data Machine Learning 98

Knowledge Hut

NOVEMBER 17, 2023

An Azure Data Engineer locates and resolves difficult data-related issues, enhances the performance and scalability of data solutions, and works cooperatively with other teams to develop solutions. The main duties of an Azure Data Engineer are planning, developing, deploying, and managing the data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 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

Knowledge Hut

NOVEMBER 19, 2023

Benefits of Azure Data Engineer Tools Azure tools for Data Engineers offer several benefits for organizations and professionals involved in data engineering: Scalability: Azure data services can scale elastically to handle growing data volumes and workloads, ensuring that your data solutions remain performant as your needs expand.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52