Big Data Professionals
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Big data, Hadoop, MongoDB, NoSQL,, Spark, Kafka Professional Channel
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VS code users, great news! A MongoDB @code plug-in is now available. Get started in three easy steps:
- Install the extension from the marketplace
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- Connect to it & start building a playground

Learn more here: https://t.co/CY2Ypr1bQU @mmarcon https://t.co/BWy1qjak2W
Top 10 Big Data Certifications Recognized by the Industry! - Intellipaat Blog
https://intellipaat.com/blog/top-10-big-data-certifications/
Data Scientist Vs Data Analyst


Data science can be described as a field of automated statistics in the form of models that aide in classifying and predicting outcomes. Here are the top skills that are required to be a data scientist:

Python or R

SQL

Jupyter Notebook

Algorithms/Modeling


A data analyst shares similar titles with business analyst, business intelligence analyst, and even a Tableau developer. The focus of data analytics is to describe and visualize the current landscape of the data — to report and explain it to nontechnical users. A data science crossover position is a data analyst who performs predictive analytics — sharing more similarities of a data scientist without the automated, algorithmic method of outputting those predictions.

Some of the main skills that are required to be a data analyst are:

SQL

Excel

Tableau (or other visualization tools — Google Data Studio, etc)

https://towardsdatascience.com/data-science-vs-data-analysis-heres-the-difference-4d3da0a90f4
Big data Professional discussion group

https://t.me/joinchat/AG7KhBOZQnP-akfksRtPGA
Big Data Professionals pinned «Big data Professional discussion group https://t.me/joinchat/AG7KhBOZQnP-akfksRtPGA»
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Spark 101: What Is It, What It Does, and Why It Matters | MapR
https://mapr.com/blog/spark-101-what-it-what-it-does-and-why-it-matters/