ProjectPro

AUGUST 26, 2015

1998 -An open source relational database was developed by Carlo Strozzi who named it as NoSQL. However, 10 years later, NoSQL databases gained momentum with the need to process large unstructured data sets. 2008 -According to a survey by Global Information Industry Centre, in 2008 Americans consumed approximately 1.3

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. But not long after Google launched GCP in 2008, it began gaining market traction. Launched in 2008. More companies and startups are emerging now that offer cloud-related solutions.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

MARCH 27, 2024

A public version of this best big data tool was created in 2008 by Facebook. 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.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

APRIL 8, 2015

Get More Practice, More Big Data and Analytics Projects , and More guidance.Fast-Track Your Career Transition with ProjectPro DynamoDB is another major NoSQL database offering by AWS Hadoop Vendor that was deployed to run its giant consumer website.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

ProjectPro

MARCH 10, 2016

“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. Most of LinkedIn’s data is offline and it moves pretty slowly.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

APRIL 27, 2016

The team at Facebook realized this roadblock which led to an open source innovation - Apache Hive in 2008 and since then it is extensively used by various Hadoop users for their data processing needs. Apache Hive helps analyse data more productively with enhanced query capabilities.

Hadoop 40

Hadoop Big Data Technology Kafka 40

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 40

SQL NoSQL AWS Datasets 40