Remove 2025 Remove Data Engineering Remove Hadoop
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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. Introduction – Why Data Science Trends Matter Data science continues to be a cornerstone of innovation and decision-making across industries worldwide.

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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. It highlights the growing opportunities and challenges in India’s dynamic data science landscape. Big Data: Apache Hadoop, Apache Spark. Databases: MySQL, PostgreSQL, MongoDB.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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

Smart Data Collective

Big data is changing the future of almost every industry. The market for big data is expected to reach $23.5 billion by 2025. Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available.

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The Evolving Role of the Modern Data Practitioner

ODSC - Open Data Science

In a recent episode of ODSCs Ai X Podcast , Marck Vaisman, a cloud architect and data science practitioner at Microsoft, shared his insights on the evolution of data science and what it means to be a data practitioner in 2025 andbeyond. Data Management & Governance: Ensuring data quality, compliance, and security.

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Generative AI in the Real World: The Startup Opportunity with Gabriela de Queiroz

O'Reilly Media

In 2025, the challenge will be turning those agendas into reality. For data engineering, orchestration means something specific, and a lot goes into it, even for a single agent. 29:29 : Back then, we only had a few options: Hadoop, Spark. Check out other episodes of this podcast on the OReilly learning platform.

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

ODSC - Open Data Science

Scala is worth knowing if youre looking to branch into data engineering and working with big data more as its helpful for scaling applications. Knowing all three frameworks covers the most ground for aspiring data science professionals, so you cover plenty of ground knowing thisgroup.