Remove 2006 Remove Hadoop Remove Portfolio
article thumbnail

How LinkedIn uses Hadoop to leverage Big Data Analytics?

ProjectPro

Table of Contents LinkedIn Hadoop and Big Data Analytics The Big Data Ecosystem at LinkedIn LinkedIn Big Data Products 1) People You May Know 2) Skill Endorsements 3) Jobs You May Be Interested In 4) News Feed Updates Wondering how LinkedIn keeps up with your job preferences, your connection suggestions and stories you prefer to read?

Hadoop 40
article thumbnail

Difference between Pig and Hive-The Two Key Components of Hadoop Ecosystem

ProjectPro

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
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

Apache Hadoop. Apache Hadoop is a set of open-source software for storing, processing, and managing Big Data developed by the Apache Software Foundation in 2006. Hadoop architecture layers. As you can see, the Hadoop ecosystem consists of many components. Source: phoenixNAP. NoSQL databases.

article thumbnail

Big Data Timeline- Series of Big Data Evolution

ProjectPro

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. Hadoop is an open source solution for storing and processing large unstructured data sets.

article thumbnail

15+ AWS Projects Ideas for Beginners to Practice in 2023

ProjectPro

Orchestrate Redshift ETL using AWS Glue and Step Functions AWS Projects for Portfolio 17. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop. Serverless Image Recognition Engine 13.

AWS 52
article thumbnail

Google BigQuery: A Game-Changing Data Warehousing Solution

ProjectPro

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Google BigQuery Data Analysis Workflows BigQuery supports various data analytics procedures: 1) Ad Hoc Analysis BigQuery supports ad hoc analysis using Google Standard SQL, the SQL dialect it utilizes. The equality operators equal (=), not equal (!=

Bytes 52
article thumbnail

AWS vs GCP - Which One to Choose in 2023?

ProjectPro

AWS vs. Google Cloud - Machine Learning AWS and GCP offer cutting-edge machine learning tools from their portfolio that help develop, train, and test a machine learning model. Launched in 2006. Learn the A-Z of Big Data with Hadoop with the help of industry-level end-to-end solved Hadoop projects.

AWS 52