ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JULY 27, 2023

The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. You can opt for Big Data training online to learn about Hadoop and big data. You can opt for big data and Hadoop certification to boost your growth and salary.

Hadoop 52

Hadoop Programming Language Banking Scala 52

Data Engineering Podcast

DECEMBER 16, 2019

The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform. The metadata repository serves as a data catalog and a means of reporting on the health and status of your datasets when it is properly integrated into the rest of your tools.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Databand.ai

AUGUST 30, 2023

DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. These tools help organizations implement DataOps practices by providing a unified platform for data teams to collaborate, share, and manage their data assets.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction.

Big Data 72

Big Data Data Data Storage SQL 72

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 73

Data Science BI Business Intelligence Data Mining 73

ProjectPro

NOVEMBER 15, 2021

.” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

NOVEMBER 30, 2021

Your search for business analyst project examples ends here. This blog contains sample projects for business analyst beginners and professionals. So, continue reading this blog to know more about different business analyst projects ideas. Project Idea: Mercari is a community-driven electronics-shopping application in Japan.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

JANUARY 20, 2016

“I want to work with big data and hadoop. If you want to work with big data , then learning Hadoop is a must - as it is becoming the de facto standard for big data processing. Hadoop programming is easier for people with SQL skills too - thanks to Pig and Hive.

Hadoop 52

Hadoop SQL Java Big Data 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

Data Engineering 83

Data Engineering Data Engineer Engineering Pipeline-centric 83

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

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

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

U-Next

AUGUST 8, 2022

A multidisciplinary area called Data Science makes it possible to draw information from organised and unorganised data. Introduction – What is Data Science? It assists you in identifying underlying patterns in the original data. Roles In Data Science Jobs. Data/Analytics Manager. Admin Data.

Data Science 52

Data Science Computer Science Deep Learning Java 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

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

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

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

FEBRUARY 10, 2016

Ten years ago nobody was aware that an open source technology, like Apache Hadoop will fire a revolution in the world of big data. Although we might be a bit late but it is still worth wishing the poster child for big data analytics - a belated Happy Birthday! Happy Birthday Hadoop With more than 1.7

Hadoop 40

Hadoop Big Data Programming SQL 40

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

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

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

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

AUGUST 10, 2015

Hadoop has become synonymous with Big Data and it is not a wonder. Big Data analysis has taken a huge surge with the advent of Hadoop. With its unique distributed computing system Hadoop has taken the Big Data world by storm. The topics covered in this course are HDFS, MapReduce, Hive, Pig, HBase in detail.

Hadoop 40

Hadoop Big Data Data Analysis Certification 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

NOVEMBER 6, 2015

Every new release and abstraction on Hadoop is used to improve one or the other drawback in data processing, storage and analysis. Apache Hive was introduced by Facebook to manage and process the large datasets in the distributed storage in Hadoop. Data explosion in the past decade has not disappointed big data enthusiasts one bit.

Hadoop 52

Hadoop SQL Java Metadata 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

SEPTEMBER 1, 2015

” The most impressive thing about this is that mankind is capable of storing, processing and analysing this incredible bulk of data using open source frameworks like Hadoop in reasonable time. Once big data is loaded into Hadoop, what is the best way to use this data?

Hadoop 40

Hadoop Java Unstructured Data SQL 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

JUNE 17, 2016

With all these proven facts – it is absolutely necessary to create the perfect LinkedIn profile, in order to secure the right job to start your career in Big Data analytics. Setting up and optimizing your LinkedIn profile to get noticed by recruiters in the big data space takes time.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

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

FEBRUARY 4, 2016

We know that big data professionals are far too busy to searching the net for articles on Hadoop and Big Data which are informative and factually accurate. 1) Spark vs. Hadoop: Not Enemies, but Sidekicks All conversations about big data are incomplete without the mention of Spark and Hadoop.

Hadoop 40

Hadoop Java Retail Big Data 40

ProjectPro

SEPTEMBER 16, 2016

Enter the stage manager of the big data world, the “Hadoop Administrator” Table of Contents Who is a Hadoop Administrator? Hadoop Admin Job Roles and Responsibilities Managing big data and hadoop clusters presents various challenges to hadoop admin’s with running test data through a couple of machines.

Hadoop 52

Hadoop Big Data BI Java 52

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

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