ProjectPro

JUNE 6, 2025

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. during 2014 - 2020. during 2014 - 2020. Businesses are wading into the big data trends as they do not want to take the risk of being left behind.

Big Data 40

Big Data Data Analysis NoSQL Deep Learning 40

ProjectPro

FEBRUARY 1, 2016

News on Hadoop – January 2016 Hadoop turns 10, Big Data industry rolls along. Zdnet.com, January 29, 2016 2016 marks the tenth birthday of the big daddy of big data -Apache Hadoop. Hadoop ignited the big data craze 10 years back and it continues to be the show of the star in the data century. bn by 2021.

Hadoop 52

Hadoop BI Big Data Data Analysis Tools 52

ProjectPro

MAY 2, 2016

News on Hadoop-April 2016 Cutting says Hadoop is not at its peak but at its starting stages. Datanami.com At his keynote address in San Jose, Strata+Hadoop World 2016, Doug Cutting said that Hadoop is not at its peak and not going to phase out. In 2014, Marketshare shifted to using Altiscale. April 1, 2016.

Hadoop 52

Hadoop NoSQL Hospitality Big Data 52

Knowledge Hut

JUNE 25, 2024

Automate the Boring Stuff with Python (Practical Programming for Total Beginners) Al Sweigart's book "Automate the boring stuff with Python," was released for the first time on November 25, 2014. This book introduces data scientists to the Hadoop ecosystem and its tools for big data analytics. 5 stars on GoodReads.

Data Science 97

Data Science Python Hadoop Media 97

ProjectPro

JUNE 4, 2018

News on Hadoop - May 2018 Data-Driven HR: How Big Data And Analytics Are Transforming Recruitment.Forbes.com, May 4, 2018. The list of most in-demand tech skills ahead in this race are AWS, Python, Spark, Hadoop, Cloudera, MongoDB, Hive, Tableau and Java.

Hadoop 52

Hadoop Recruitment Banking Big Data 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.

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

JUNE 6, 2025

Try Your Hands-On On This NiFi Project - Real-Time Streaming of Twitter Sentiments using AWS EC2 and NiFi Explore real-world Apache Hadoop projects by ProjectPro and land your Big Data dream job today! Nifi is a data flow management tool that processes and distributes data. AWS Kinesis Image Source d1.awsstatic.com

Data Ingestion 45

Data Ingestion Data Engineer Data Engineering Project 45

ProjectPro

FEBRUARY 29, 2016

News on Hadoop- February 2016 Hadoop has turned 10, but it still has a long way to go in terms of enterprise adoption. InformationWeek.com At the 10th birthday of Hadoop, which is fast becoming everyone’s favorite big data technology – is gearing up for enterprise wide adoption. February 3, 2016. February 5, 2016.

Hadoop 40

Hadoop Banking Deep Learning Big Data 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 Data Ingestion 40

ProjectPro

JUNE 6, 2025

Paxata also gained industry recognition in the first year of it commercial availability by making it to one of the top vendors in Gartner Cool Vendor of 2014. "In Become a Hadoop Developer By Working On Industry Oriented Hadoop Projects What is it like to work at Mu Sigma?

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 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

JULY 13, 2015

The Hadoop training course at ProjectPro is conducted through live instructor led webinar sessions. Students go through 42 hours of live classes where they get to interact with the industry expert in an online Hadoop training class. In these sessions, the Hadoop curriculum is taught and discussed in detail.

Hadoop 40

Hadoop Coding Data Analytics Accessibility 40

Christophe Blefari

JUNE 21, 2024

Snowflake was founded in 2012 around its data warehouse product, which is still its core offering, and Databricks was founded in 2013 from academia with Spark co-creator researchers, becoming Apache Spark in 2014. Snowflake and Databricks have the same goal, both are selling a cloud on top of classic 1  cloud vendors.

Metadata 147

Metadata Data Warehouse BI Scala 147

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

OCTOBER 5, 2018

from 2014 to 2020.With from 2014 to 2020.With HaaS will compel organizations to consider Hadoop as a solution to various big data challenges. Source - [link] ) Master Hadoop Skills by working on interesting Hadoop Projects LinkedIn open-sources a tool to run TensorFlow on Hadoop.Infoworld.com, September 13, 2018.

Hadoop 40

Hadoop BI MongoDB Big Data 40

Knowledge Hut

MAY 2, 2024

Compatibility MapReduce is also compatible with all data sources and file formats Hadoop supports. Spark is developed in Scala language and it can run on Hadoop in standalone mode using its own default resource manager as well as in Cluster mode using YARN or Mesos resource manager. Spark is a bit bare at the moment.

Scala 96

Scala Hadoop Java Data Mining 96

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

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 6, 2025

History of GCP Dataflow Cloud Dataflow was introduced in June 2014 and made available as an open beta to the public in April 2015. Cloud Dataproc offers a Hadoop cluster on GCP and access to Apache Hadoop ecosystem tools (Apache Pig, Hive, and Spark). 3) What are Dataproc and Dataflow in GCP? 4) Why use Google Cloud Dataflow?

Google Cloud 40

Google Cloud Java Data Ingestion SQL 40

ProjectPro

MARCH 25, 2015

billion wireless service subscriptions worldwide as of mid – 2014. 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

JUNE 6, 2025

Spark is incredibly fast in comparison to other similar frameworks like Apache Hadoop. It is approximately 100 times quicker than Hadoop since it uses RAM rather than local memory. Compatibility with Hadoop - Spark can operate independently of Hadoop and on top of it. This is said to be one of its main drawbacks.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

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

ProjectPro

JUNE 6, 2025

A recent survey conducted by Dice estimates that salaries for employees who use Hadoop and NoSQL are more than $100,000.This MongoDB was chosen as the leader in NoSQL databases for 2014 by Forrester Research making MongoDB Certification worth including in your profile.

NoSQL 40

NoSQL MongoDB Certification Database 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 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

billion in 2014 to $4.5 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

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

ProjectPro

MARCH 14, 2014

This is creating a huge job opportunity and there is an urgent requirement for the professionals to master Big Data Hadoop skills. Studies show, that by 2020, 80% of all Fortune 500 companies will have adopted Hadoop. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! While only 5.4%

Hadoop 40

Hadoop Big Data Data Mining Consulting 40

ProjectPro

JUNE 6, 2025

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. As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. during 2014 - 2020. during 2014 - 2020. Businesses are wading into the big data trends as they do not want to take the risk of being left behind.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

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. HQL or HiveQL is the query language in use with Apache Hive to perform querying and analytics activities.

Hadoop 52

Hadoop Java Big Data Tools SQL 52

Data Science Blog: Data Engineering

JULY 4, 2022

Introduction Spark’s aim is to create a new framework that was optimized for quick iterative processing, such as machine learning and interactive data analysis while retaining Hadoop MapReduce’s scalability and fault-tolerant. Spark could indeed run by itself, on Apache Mesos, or on Apache Hadoop, which is the most common.

Hadoop 52

Hadoop Big Data Scala Datasets 52

ProjectPro

AUGUST 26, 2015

2005 - The tiny toy elephant Hadoop was developed by Doug Cutting and Mike Cafarella to handle the big data explosion from the web. Hadoop is an open source solution for storing and processing large unstructured data sets. 2014- By 2020, the number of IT administrators tracking the data growth will increase by 1.5 10 21 i.e. 4.4

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

AltexSoft

JULY 18, 2023

Datasets: RDDs can contain any type of data and can be created from data stored in local filesystems, HDFS (Hadoop Distributed File System), databases, or data generated through transformations on existing RDDs. This impressive statistic comes from a 2014 benchmark test where Spark significantly improved performance over Hadoop MapReduce.

Big Data 52

Big Data Data Process Process Hadoop 52

Confluent

SEPTEMBER 25, 2019

Our early use cases involved populating data for LinkedIn’s social graph, search, and Hadoop and data warehouse environments, as well as user-facing applications like recommendation systems, newsfeeds, ad systems, and other product features.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56