2010 and NoSQL - Data Engineering Digest

A Prequel to Data Mesh

Towards Data Science

JANUARY 16, 2024

Image by the author 2004 to 2010 — The elephant enters the room New wave of applications emerged — Social Media, Software observability, etc. Result: Hadoop & NoSQL frameworks emerged. New data formats emerged — JSON, Avro, Parquet, XML etc. Data lakes were introduced to store the new data formats.

Data Warehouse

Data Warehouse Data Architecture Relational Database NoSQL

Data Science Foundations & Learning Path

Knowledge Hut

APRIL 26, 2024

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Another main aspect of this position is database design (RDBMS, NoSQL, and NewSQL), data warehousing, and setting up a data lake.

Data Science

Data Science Machine Learning Hadoop Algorithm

The Good and the Bad of the Elasticsearch Search and Analytics Engine

AltexSoft

SEPTEMBER 21, 2023

First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database. What is Elasticsearch? It is developed in Java and built upon the highly reputable Apache Lucene library. The engine’s core strength lies in its high-speed, near real-time searches.

Engineering

Engineering NoSQL Programming Language Java

Webinars

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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Top 10 Real World Applications of Cloud Computing

Knowledge Hut

NOVEMBER 7, 2023

Azure was first introduced in 2010, and it has shown to be a reliable solution for businesses trying to move digitally. SQL, NoSQL, and Linux knowledge are required for database programming. The extensive list of offered services is sufficient to meet the demands of any firm in any industry.

Cloud Computing

Cloud Computing Cloud Amazon Web Services Entertainment

Running Fast SQL on DynamoDB Tables

Rockset

JANUARY 23, 2019

In this query, I am tokenizing the title , extracting the year from the the time field, and returning the number of occurrences of "data" in the tokens, grouped by year. Let's first check how user engagement around blockchain and cryptocurrencies has been trending.

SQL

SQL NoSQL AWS Datasets

Emerging Trends in Big Data Analysis for 2023

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. billion in 2010 to $17 billion in 2015 with estimates that the Big Data Analytics services market is growing 6 times faster than the entire IT sector. during 2014 - 2020.

Big Data

Big Data Data Analysis NoSQL Deep Learning

Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

MARCH 27, 2024

MongoDB This free, open-source platform, which came into the limelight in 2010, is a document-oriented (NoSQL) database that is used to store a large amount of information in a structured manner. Features: Users can choose the language they wish to run in. Streaming can be handled by Spark using Spark Streaming.

Big Data

Big Data Data Analytics MongoDB Big Data Tools

AWS vs Azure-Who is the big winner in the cloud war?

ProjectPro

AUGUST 31, 2018

Azure and AWS both provide database services, regardless of whether you need a relational database or a NoSQL offering. AWS works perfectly with NoSQL and relational databases providing a mature cloud environment for big data. Azure also supports both NoSQL and relational databases and Big Data through Azure HDInsight and Azure table.

AWS

AWS Cloud Amazon Web Services Cloud Computing

Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

JANUARY 19, 2022

AWS has the top-most share in the market, and that’s primarily because it was launched in 2002 while Microsoft and Google launched their cloud computing services in 2010 and 2009, respectively. Depending on the company you want to work with, you will be asked to learn them deeply.

Data Engineer

Data Engineer Data Engineering Engineering Amazon Web Services

Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

AltexSoft

JULY 27, 2021

line from “Taxi Driver” over and over again but still hate “lame” 2010’s comedies featuring him. This can be a standard SQL database for structured data, a NoSQL database for unstructured data, a cloud data warehouse for both, or even a data lake for Big Data projects. Neither does it mean that you apriori enjoy all the De Niro movies.

Machine Learning

Machine Learning Systems Algorithm Deep Learning

Global Big Data & Hadoop Developer Salaries Review

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. Learning big data technologies will help Singaporeans fulfil the demand vs. supply shortage for analytics skills like Hadoop, Spark, Machine Learning, Cassandra, NoSQL, etc.

Hadoop

Hadoop Big Data Banking Consulting

How Big Data Analysis helped increase Walmarts Sales turnover?

ProjectPro

MAY 23, 2015

train.csv- This file has historical training dataset from 2010 to 2012 containing the below information- i) The Store Number ii) The Department Number iii) The Week iv) Weekly Sales of a particular department in a particular store. Walmart acquired a small startup Inkiru based in Palo Alto, California to boost its big data capabilites.

Big Data

Big Data Data Analysis Hadoop Retail

Full Stack Web Developer Learning Path in 2024

Knowledge Hut

DECEMBER 25, 2023

Databases are divided into two categories, which are NoSQL(MongoDB) and SQL(PostgreSQL, MySQL, Oracle) databases. It all started with the release of AngularJS in 2010. So, we need to choose one backend framework from Java (Spring Framework), JavaScript (NodeJS), etc, and then also learn databases.

Java

Java Database Project PostgreSQL

Hadoop Ecosystem Components and Its Architecture

ProjectPro

JUNE 4, 2015

With HBase NoSQL database enterprise can create large tables with millions of rows and columns on hardware machine. HBase Use Case- Facebook is one the largest users of HBase with its messaging platform built on top of HBase in 2010.HBase HBase supports random reads and also batch computations using MapReduce.

Hadoop

Hadoop Architecture IT Java

5 Big Data Use Cases- How Companies Use Big Data

ProjectPro

AUGUST 6, 2015

According to IDC, the amount of data will increase by 20 times - between 2010 and 2020, with 77% of the data relevant to organizations being unstructured. How Nike uses Big Data- Top sports brand Nike leverages big data analytics to develop ecological designs for its products, including a dye technique that requires no water.

Big Data

Big Data Hadoop Insurance Media

Data Engineering Digest

A Prequel to Data Mesh

Data Science Foundations & Learning Path

Webinars

Trending Sources

The Good and the Bad of the Elasticsearch Search and Analytics Engine

Webinars

Top 10 Real World Applications of Cloud Computing

Running Fast SQL on DynamoDB Tables

Emerging Trends in Big Data Analysis for 2023

Top 14 Big Data Analytics Tools in 2024

AWS vs Azure-Who is the big winner in the cloud war?

Data Engineer Learning Path, Career Track & Roadmap for 2023

Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

Global Big Data & Hadoop Developer Salaries Review

How Big Data Analysis helped increase Walmarts Sales turnover?

Full Stack Web Developer Learning Path in 2024

Hadoop Ecosystem Components and Its Architecture

5 Big Data Use Cases- How Companies Use Big Data

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