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Data analytics

Dataconomy

Role distinction in data analytics Clarifying the roles within data analytics is essential for understanding team dynamics and skill sets. A proactive approach enables organizations to utilize their data talent effectively. Both roles are crucial to the data analytics ecosystem.

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How Rocket Companies modernized their data science solution on AWS

AWS Machine Learning Blog

Rockets legacy data science environment challenges Rockets previous data science solution was built around Apache Spark and combined the use of a legacy version of the Hadoop environment and vendor-provided Data Science Experience development tools. This also led to a backlog of data that needed to be ingested.

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Big Data Skill sets that Software Developers will Need in 2020

Smart Data Collective

Whether they want a career as an app developer or data analyst, the skillsets below can help them find lucrative careers in a competitive job market. Big Data Skillsets. From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. NoSQL and SQL.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

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. In the Indian context, data scientists often work in dynamic environments such as IT services, fintech, e-commerce, healthcare, and telecom sectors.

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Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

Flipboard

MongoDB vector data store MongoDB Atlas Vector Search is a new feature that allows you to store and search vector data in MongoDB. Vector data is a type of data that represents a point in a high-dimensional space. This type of data is often used in ML and artificial intelligence applications.

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Emerging Data Science Trends in 2025 You Need to Know

Pickl AI

As data continues to grow exponentially and technology advances rapidly, the field of data science is evolving with new trends that are reshaping how businesses and professionals leverage data. This trend is particularly impactful in industries requiring rapid, data-driven decision-making.