Data Engineering Podcast

MARCH 11, 2018

You first co-authored Refactoring Databases in 2006. You first co-authored Refactoring Databases in 2006. What was the state of software and database system development at the time and why did you find it necessary to write a book on this subject?

Database 100

Database MongoDB NoSQL Database Design 100

ProjectPro

OCTOBER 15, 2014

Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. PIG was developed as an abstraction to avoid the complicated syntax of Java programming for MapReduce. YES, when you extend it with Java User Defined Functions.

Hadoop 52

Hadoop Java Unstructured Data SQL 52

Knowledge Hut

NOVEMBER 2, 2023

In 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations. It also offers NoSQL databases with the help of Amazon DynamoDB. There are different SDKs available for different programming languages and platforms like Python, PHP, Java, Ruby, Node.js, C++, iOS, and Android.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

ProjectPro

MARCH 10, 2016

Decomposer - Contains large matrix decomposition algorithms implemented in Java. “People You May Know” feature began with a huge Python script in 2006 and it started to drive immense growth on the platform since 2008. 70% of all Hadoop data deployments at LinkedIn employ key-value access using Voldemort.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

SEPTEMBER 6, 2021

Google Cloud Functions support only Node.js, while AWS Lambda functions support many languages, including Java, C, python, etc. Launched in 2006. AWS Lambda is the serverless offering from AWS, and Cloud Functions is its GCP counterpart. It is also easier to run cloud functions when compared to AWS Lambda since it needs a few steps.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

AltexSoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. 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. MongoDB: an NoSQL database with additional features.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59