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 Datasets Scala 52

ProjectPro

MARCH 10, 2016

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

Hadoop Big Data Data Analytics Big Data Ecosystem 40

Monte Carlo

MAY 14, 2024

Let’s revisit how several of those key table formats have emerged and developed over time: Apache Avro : Developed as part of the Hadoop project and released in 2009, Apache Avro provides efficient data serialization with a schema-based structure.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

ProjectPro

MAY 20, 2015

The company targets to deliver values to its customers through the free SaaS based analytics applications so that it can build credibility with the clients to encourage them to buy more. With clients like Walmart , Pfizer, Microsoft and Dell, Mu Sigma is thriving towards building the greatest big data analytics ecosystem of the future.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

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? ” –said Walmart’s CEO of global e-commerce in 2013.

Big Data 52

Big Data Data Analysis Hadoop Retail 52