AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Apache Spark is one of the most popular frameworks for managing and dealing with Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

DECEMBER 28, 2021

The digital economy is driven by data disrupting industries across the globe with increasing number of companies wanting to glean valuable insights from real-time data. Allied Market Research estimated the global big data and business analytics market to be valued at $198.08 billion by 2030. billion by 2030.

Architecture 52

Architecture Kafka Java Scala 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.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

JUNE 4, 2015

HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets. The basic principle of working behind Apache Hadoop is to break up unstructured data and distribute it into many parts for concurrent data analysis.

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JUNE 17, 2015

3 out of 5 highest paid jobs require big data and cloud computing skills. For professionals aiming to earn biggest bucks in the fastest growing industry, they need to become big data experts. People who know how to handle, process and analyse big data can be assured to get the heaviest paychecks in 2015.Here

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place. Happy following!

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! What are the best Apache Kafka interview questions and answers for experienced? What is Kafka partition?

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Table of Contents How working on Hadoop projects will help professionals in the long run?

Hadoop 40

Hadoop Big Data Coding Project 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. Processes structured data. Give example.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

MARCH 7, 2016

Big Data is in the middle of its journey, offering various life-changing career opportunities. If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. It might seem redundant to you.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

APRIL 27, 2016

Scott Gnau, CTO of Hadoop distribution vendor Hortonworks said - "It doesn't matter who you are — cluster operator, security administrator, data analyst — everyone wants Hadoop and related big data technologies to be straightforward. Sparkling new innovations are easy to find in the big data world.

Hadoop 40

Hadoop Big Data Technology Big Data Tools 40

ProjectPro

JULY 8, 2015

Hackerday offers one such platform for IT professionals to enhance their problem solving abilities, on different technologies by working on projects. Why is now the best time to learn about trending software technologies in -Big Data, Web Development and Mobile App Development? Check this trend.”

Hadoop 40

Hadoop R (Programming) Big Data NoSQL 40

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. The book might not teach you on how to develop big data solutions but helps you understand the entire big data Hadoop domain.

Hadoop 40

Hadoop Big Data Portfolio Data Ingestion 40

ProjectPro

APRIL 11, 2016

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. Big data professionals know, that preparing for a hadoop interview is extremely important.

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

ProjectPro

JUNE 23, 2016

But then, the interviewer instead of beginning the Hadoop interview with questions around Hadoop MapReduce, HDFS, Pig, Hive, throws a curveball at you by asking “What are the possible file formats for importing data using Sqoop in Hadoop?” It can also be used to export the data in HDFS and back to the RDBMS.

Hadoop 40

Hadoop MySQL Relational Database Java 40

ProjectPro

OCTOBER 15, 2014

Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed. There is no simple way to compare both Pig and Hive without digging deep into both in greater detail as to how they help in processing large amounts of data. Table of contents Hive vs Pig What is Big Data and Hadoop?

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

MARCH 25, 2015

The amount of big data telecommunication industry generates has high velocity and volume. With information collected about customer behaviour and preferences, big data in telecom means bigger opportunities for telecommunication companies. How big the telecommunication industry really is?

Telecommunication 40

Telecommunication Hadoop Electronics Big Data 40

ProjectPro

MARCH 21, 2016

In 1990, analysts predicted that the big data era would witness the death of Mainframes, due to the advent of various other cheap computing resources. The largest and critical industries across the globe - healthcare, insurance, finance and retail, still generate data from Mainframes. The answer is definitely a resounding YES.

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. Over the years, big data has been defined in various ways and there is lots of confusion surrounding the terms big data and hadoop. What is Big Data according to IBM?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

APRIL 15, 2016

Preparing for a Hadoop job interview then this list of most commonly asked Apache Pig Interview questions and answers will help you ace your hadoop job interview in 2018. Here’s the first post in the category that lists Apache Pig Interview Questions and Answers for 2018.

Hadoop 40

Hadoop Java Big Data SQL 40