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How Indegene’s AI-powered social intelligence for life sciences turns social media conversations into insights

AWS Machine Learning Blog

Amazon EMR – Powers the extract, transform, and load (ETL) pipeline for large-scale data transformation, particularly useful for processing historical social media archives. AWS Glue Data Catalog – Maintains the metadata repository and schema registry, making social media data discoverable and queryable.

AWS
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Top Technical Skills You Must Have as a Developer in 2025

Flipboard

Next Steps: Transition into data engineering (PySpark, ETL) or machine learning (TensorFlow, PyTorch). Data Tools Excel remains a fundamental tool for basic analysis, while Tableau, Power BI, Qlik Sense and QlikView offer advanced visualisation and business intelligence capabilities. MySQL, PostgreSQL) and non-relational (e.g.,

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From zero to BI hero: Launching your business intelligence career

Dataconomy

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

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From zero to BI hero: Launching your business intelligence career

Dataconomy

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

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Who is a BI Developer: Role, Responsibilities & Skills

Pickl AI

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? It is essential to provide a unified data view and enable business intelligence and analytics. Explain the Extract, Transform, Load (ETL) process.