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Data analytics

Dataconomy

Data analytics serves as a powerful tool in navigating the vast ocean of information available today. Organizations across industries harness the potential of data analytics to make informed decisions, optimize operations, and stay competitive in the ever-changing marketplace. What is data analytics?

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Business Analytics vs Data Science: Which One Is Right for You?

Pickl AI

Summary: Business Analytics focuses on interpreting historical data for strategic decisions, while Data Science emphasizes predictive modeling and AI. Introduction In today’s data-driven world, businesses increasingly rely on analytics and insights to drive decisions and gain a competitive edge.

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Emerging Data Science Trends in 2025 You Need to Know

Pickl AI

Summary: In 2025, data science evolves with trends like augmented analytics, IoT data explosion, advanced machine learning, automation, and explainable AI. For data scientists and aspiring professionals, awareness of these trends guides skill development and career growth in a rapidly changing landscape.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

They are expected to be versatile, handling everything from data engineering and exploratory analysis to deploying machine learning models and communicating insights to business stakeholders. Data scientists in India use a broad toolkit tailored to local industry needs: Programming: Python, R, SQL. Manufacturing: Industry 4.0

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Big data engineer

Dataconomy

Big data engineers are essential in today’s data-driven landscape, transforming vast amounts of information into valuable insights. As businesses increasingly depend on big data to tailor their strategies and enhance decision-making, the role of these engineers becomes more crucial.

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Learn Everything about MapReduce Architecture & its Components

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction MapReduce is part of the Apache Hadoop ecosystem, a framework that develops large-scale data processing. Other components of Apache Hadoop include Hadoop Distributed File System (HDFS), Yarn, and Apache Pig.

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Introduction to Partitioned hive table and PySpark

Analytics Vidhya

The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and […].