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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

The Dawn of Telco Big Data: 2007-2012. The Explosion in Telco Big Data: 2012-2017. They were using R and Python, with NoSQL and other open source ad hoc data stores, running on small dedicated servers and occasionally for small jobs in the public cloud. Let’s examine how we got here.

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20x Faster Ingestion with Rockset's New DynamoDB Connector

Rockset

Since its introduction in 2012, Amazon DynamoDB has been one of the most popular NoSQL databases in the cloud. DynamoDB, unlike a traditional RDBMS, scales horizontally, obviating the need for careful capacity planning, resharding, and database maintenance.

NoSQL 40
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Big Data Timeline- Series of Big Data Evolution

ProjectPro

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. Big data analysis played a crucial part in Obama’s 2012 re-election campaign. US alone will face a shortage of 1.5

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Running Fast SQL on DynamoDB Tables

Rockset

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
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GraphQL API: Getting Started With Examples

Knowledge Hut

Simply put, GraphQL is a new age Query Language developed by Facebook in 2012 that helps Application Programming Interfaces (APIs) fetch only that data which is requested by the client, and nothing else. It can read, write, and delete data from and to anywhere in the database, be it SQL, NoSQL, or Graph-based database.

MongoDB 52
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Spark vs Hive - What's the Difference

ProjectPro

It instead relies on other systems, such as Amazon S3, etc.

Hadoop 52
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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

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. Data Pine Since 2012, Datapine has been providing analytics for business intelligence (Berlin, Germany).