2020 Hadoop SQL 
Analytics Vidhya
JUNE 27, 2020
The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya. Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20.
Smart Data Collective
OCTOBER 14, 2019
With big data careers in high demand, the required skillsets will include: Apache Hadoop. Software businesses are using Hadoop clusters on a more regular basis now. Apache Hadoop develops open-source software and lets developers process large amounts of data across different computers by using simple models. NoSQL and SQL.
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Smart Data Collective
MAY 20, 2019
IDC predicts that if our digital universe or total data content were represented by tablets, then by 2020 they would stretch all the way to the moon over six times. By 2020, over 40 percent of all data science tasks will be automated. More recently, the California Consumer Privacy Act reared its head, which will go into effect in 2020.
Smart Data Collective
APRIL 8, 2020
In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools.
DagsHub
DECEMBER 11, 2023
Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git. It versions tables instead of files and has a SQL query interface for those tables. DVC lacks crucial relational database features, making it an unsuitable choice for those familiar with relational databases.
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