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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Summary: In 2025, data scientists in India will be vital for data-driven decision-making across industries. Introduction In 2025, the role of a data scientist remains one of the most sought-after and lucrative career paths in India’s rapidly growing technology and business sectors. Big Data: Apache Hadoop, Apache Spark.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Furthermore, it has been estimated that by 2025, the cumulative data generated will triple to reach nearly 175 zettabytes. 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. Big data and data warehousing.

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Top Big Data Interview Questions for 2025

Pickl AI

Introduction Big Data continues transforming industries, making it a vital asset in 2025. Familiarise yourself with essential tools like Hadoop and Spark. What are the Main Components of Hadoop? Hadoop consists of the Hadoop Distributed File System (HDFS) for storage and MapReduce for processing data across distributed systems.

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The Evolving Role of the Modern Data Practitioner

ODSC - Open Data Science

Once defined by statistical models and SQL queries, todays data practitioners must navigate a dynamic ecosystem that includes cloud computing, software engineering best practices, and the rise of generative AI. In the ever-expanding world of data science, the landscape has changed dramatically over the past two decades.

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What Does a Data Engineer’s Career Path Look Like?

Smart Data Collective

billion by 2025. As such, you should begin by learning the basics of SQL. SQL is an established language used widely in data engineering. Just like programming, SQL has multiple dialects. Besides SQL, you should also learn how to model data. Big data is changing the future of almost every industry.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

from 2025 to 2030. Various types of storage options are available, including: Relational Databases: These databases use Structured Query Language (SQL) for data management and are ideal for handling structured data with well-defined relationships. SQL SQL is crucial for querying and managing relational databases.

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What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

ODSC - Open Data Science

While knowing Python, R, and SQL is expected, youll need to go beyond that. Similar to previous years, SQL is still the second most popular skill, as its used for many backend processes and core skills in computer science and programming. Employers arent just looking for people who can program.