ProjectPro

JULY 3, 2015

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

JUNE 6, 2025

That's where acquiring the best big data certifications in specific big data technologies is a valuable asset that significantly enhances your chances of getting hired. Read below to determine which big data certification fits your requirements and works best for your career goals. It is based on the Hortonworks Data Platform 2.4

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

Key Features of RapidMiner: RapidMiner integrates with your current systems, is easily scalable to meet any demand, can be deployed anywhere, encrypts your data, and gives you complete control over who may access projects. Many developers have access to it due to its integration with Python IDEs like PyCharm.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

Teradata

MAY 30, 2025

VantageCloud Lake provides robust capabilities for data storage, parallel processing, and analytics, making it an ideal choice for building scalable and performant data solutions. The data mesh architecture Key components of the data mesh architecture 1.

AWS 52

AWS Architecture Building Amazon Web Services 52

ProjectPro

JUNE 6, 2025

The AWS Big Data Analytics Certification exam holds immense significance for professionals aspiring to demonstrate their expertise in designing and implementing big data solutions on the AWS platform. Industry Recognition: AWS Data Analytics related certifications are well-regarded and well-recognized in the industry.

Big Data 40

Big Data AWS Certification Hadoop 40

Data Engineering Podcast

FEBRUARY 19, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. Email hosts@dataengineeringpodcast.com ) with your story.

IT 147

IT Data Lake Metadata Data Warehouse 147

ProjectPro

FEBRUARY 1, 2017

News on Hadoop-January 2017 Big Data In Gambling: How A 360-Degree View Of Customers Helps Spot Gambling Addiction. The largest gaming agency in Finland, Veikkaus is using big data to build a 360 degree picture of its customers. Source : [link] How Hadoop helps Experian crunch credit reports. Forbes.com, January 5, 2017.

Hadoop 52

Hadoop MongoDB Kafka Big Data 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. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. The Global Hadoop Market is anticipated to reach $8.74

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

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 Java Electronics Big Data 52

ProjectPro

DECEMBER 2, 2015

News on Hadoop – November 2015 2nd Generation Hadoop has become the most critical cloud applications platform, Nov 2, 2015, TechRepublic.com Hadoop version of 1.0 Hadoop second generation is designed to support real time applications where Hadoop is used not just as a storage system but as an application platform.

Hadoop 52

Hadoop Cloud Computing Big Data Manufacturing 52

ProjectPro

JUNE 6, 2025

The innovations in augmented analytics enable anyone from data scientists to business users to discover insights more quickly by making machine learning, statistics, natural language processing, etc., more accessible. Quick Insights give users better visibility to data insights within a certain amount of time with only one click.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

FEBRUARY 1, 2018

News on Hadoop - Janaury 2018 Apache Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 This new feature of YARN federation in Hadoop 3.0 This new feature of YARN federation in Hadoop 3.0

Hadoop 52

Hadoop Food Healthcare Cloud Computing 52

ProjectPro

MAY 2, 2017

News on Hadoop-April 2017 AI Will Eclipse Hadoop, Says Forrester, So Cloudera Files For IPO As A Machine Learning Platform. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. combines various online tools and data feeds from the banks pool of 1.2

Hadoop 52

Hadoop Entertainment Data Lake Banking 52

ProjectPro

JUNE 6, 2025

The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. Snowflake is not based on existing database systems or big data software platforms like Hadoop.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

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

ProjectPro

JUNE 6, 2025

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

ProjectPro

JUNE 6, 2025

With this knowledge, they can design efficient data pipelines, automate data transformation, and ensure data quality and accuracy, which benefits their organization's data-driven initiatives. Suppose a cloud data engineer completes a course that covers Google Cloud BigQuery and its cost-effective pricing model.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

Knowledge Hut

APRIL 25, 2024

Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies. Look for a suitable big data technologies company online to launch your career in the field. What Are Big Data T echnologies? Data processing is where the real magic happens.

Big Data 98

Big Data Technology NoSQL Hadoop 98

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 Data Lake Programming Language Big Data 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

JUNE 6, 2025

Map-reduce - Map-reduce enables users to use resizable Hadoop clusters within Amazon infrastructure. Amazon’s counterpart of this is called Amazon EMR ( Elastic Map-Reduce) Hadoop - Hadoop allows clustering of hardware to analyse large sets of data in parallel. What are the basic types of Data Centers?

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

Azure Databricks vs. Databricks: A Comparison of Data Solutions Azure Synapse vs. Databricks Azure Data Factory vs. Databricks Azure Databricks Project Ideas Master Azure Databricks with Industry-Grade Solved Projects by ProjectPro FAQs on Azure Databricks What is Azure Databricks? When Not to Use Azure Databricks?

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 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

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 Consulting Cloud Computing 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 Java 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 Data Ingestion Java 40

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 BI Kafka Big Data 40

ProjectPro

JUNE 6, 2025

This immediate data ingestion and processing allow for real-time monitoring and decision-making, enhancing user experience and operational efficiency in the ride-sharing service. They also enhance the data with customer demographics and product information from their databases. Apache NiFi With over 4.1k

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

This project will guide you through the seamless integration of these robust Google Cloud services, streamlining the process of managing and analyzing data efficiently. You will use Python libraries for data processing and transformation. Some examples of data integration tools that help are Apache Spark, Talend , Hadoop, etc.

Data Integration 40

Data Integration Project Data Lake Hospitality 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

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

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

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. Senior data scientists can expect a salary in the $130,000 to $160,000 range.

Hadoop 40

Hadoop Certification IT Big Data 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 Cloud Computing Big Data 40

Data Engineering Podcast

FEBRUARY 24, 2019

Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. Contact Info Website Pluralsight @henson_tm on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Deep Learning 100

Deep Learning Data Engineer Data Engineering Engineering 100

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