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

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! Everything is about data these days.

Big Data 52

Big Data Hadoop AWS Relational Database 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

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

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

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

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. How do we transform this data to get valuable insights from it?

Process 52

Process Data Pipeline Data Warehouse AWS 52

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

AUGUST 30, 2016

Bank of America has tapped into Hadoop technology to manage and analyse the large amounts of customer and transaction data that it generates. Big Data analytics and Hadoop are the heart of ‘BankAmeriDeals’ program, that provides cashback offers to bank’s credit and debit card holders.

Banking 40

Banking Hadoop MySQL Big Data 40

ProjectPro

AUGUST 25, 2016

In an exponentially growing world of big data, Accenture offers big data solutions to several companies by exploring, experimenting and implementing analytics solutions to drive meaningful business outcomes.

Hadoop 40

Hadoop Data Lake Big Data Programming Language 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

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

SEPTEMBER 26, 2014

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services. Big data, multi-structured data, and advanced analytics.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

JANUARY 12, 2016

However, choosing the right Hadoop Distribution for business needs leads to faster data driven solutions and helps your organization gain traction from best people in the industry. Organizations that want to adopt big data solutions to pace up with the massive growth of data from disparate sources.

Hadoop 52

Hadoop Big Data Metadata Java 52

ProjectPro

OCTOBER 7, 2014

Java developers have increased probability to get a strong salary hike when they shift to big data job roles. If you are a java developer, you might have already heard about the excitement revolving around big data hadoop. The Apache frameworks provide high level abstractions like Pig and Hive.

Java 52

Java Hadoop Big Data Recruitment 52

ProjectPro

MAY 22, 2015

Prospective Hadoopers can hone their Hadoop skills with intensive research and practice on real time hands-on project. Gartner predicts 6 million big data jobs to be generated in US for 2015. Are you ready to take a deep dive into the big data pool?

Hadoop 40

Hadoop Big Data Unstructured Data Education 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

FEBRUARY 18, 2016

We generate petabytes of data every day, which is processed by farms of servers distributed across the geographical location of the globe. With big data seeping into every facet of our lives, we are trying to build robust systems which can process petabytes of data in a fast and accurate manner. What is ZNode?

Hadoop 40

Hadoop Management Metadata Java 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

ProjectPro

JULY 6, 2016

Before we dive into HBase interview questions, here’s an overview of what is HBase and its features - HBase, commonly referred to as the “Hadoop Database”, is a column oriented database based on the principles of Google Big Table. HBase provides real-time read or write access to data in HDFS.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40

ProjectPro

JULY 26, 2016

The best way to prepare for your Java Hadoop Developer job is to begin with a realistic java hadoop resume highlighting java and hadoop projects you have worked on in your past. What platform and version of Java is required to work with Apache Hadoop? The recommended java version to with Apache Hadoop is 1.6

Java 40

Java Hadoop Bytes Programming 40

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

Confluent

MAY 21, 2019

The profile service will publish the changes in profiles, including address changes to an Apache Kafka ® topic, and the quote service will subscribe to the updates from the profile changes topic, calculate a new quote if needed and publish the new quota to a Kafka topic so other services can subscribe to the updated quote event.

Kafka 110

Kafka Insurance Architecture Database 110

Confluent

JULY 23, 2019

Of course, this is entirely personal—depending on your role, interests, and the different ways you use Apache Kafka ® , you’ll find different talks exciting—and this is basically the reason there are four tracks. Gwen is a PMC member on the Apache Kafka project and a committer on Apache Sqoop.

Kafka 18

Kafka Hadoop Media Software Engineer 18