Data Science Blog: Data Engineering

JULY 4, 2022

Apache Spark began as a research project at UC Berkeley’s AMPLab, a student, researcher, and faculty collaboration centered on data-intensive application domains, in 2009. For fast analytic queries against another size of data, it uses in-memory caching and optimised query execution. 5 best practices of Apache Spark 1.

Hadoop 52

Hadoop Big Data Datasets Scala 52

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. They give you the pen to write and project your own path. Employee’s passions is company’s passion.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

ProjectPro

MARCH 10, 2016

As of May 6, 2013 –LinkedIn has a team of 407 Hadoop skilled employees. All the batch processing and analytics workload at LinkedIn is primarily handled by Hadoop. Let us know in comments if we have missed out any other important data product of LinkedIn that leverages analytics.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

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Project

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