Pickl AI

JUNE 5, 2025

Big Data Technologies: Familiarity with Hadoop, Apache Spark, and cloud platforms like AWS, Azure, and Google Cloud is increasingly important as Indian companies scale data operations. Big Data: Apache Hadoop, Apache Spark. Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform. Master’s and Ph.D.:

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Pickl AI

DECEMBER 25, 2024

Data Science is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data. It combines statistics, mathematics, computer science, and domain expertise to solve complex problems. Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Pickl AI

APRIL 21, 2025

Data Science extracts insights and builds predictive models from processed data. Big Data technologies include Hadoop, Spark, and NoSQL databases. Data Science uses Python, R, and machine learning frameworks. Data Science provides the tools, techniques, and expertise to unlock the potential Value hidden within Big Data.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Smart Data Collective

NOVEMBER 8, 2020

Spark outperforms old parallel systems such as Hadoop, as it is written using Scala and helps interface with other programming languages and other tools such as Dask. Popular cloud platforms include the Microsoft Azure, Google Cloud Platform, and Amazon Web Services. Data processing is often done in batches. and globally.

Data Engineering 104

Data Engineering Data Engineering Data Engineering Data Engineer 104

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Big Data Technologies: Hadoop, Spark, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

JANUARY 13, 2025

Key Skills Experience with cloud platforms (AWS, Azure). Hadoop , Apache Spark ) is beneficial for handling large datasets effectively. Cloud Computing Skills Familiarize yourself with cloud platforms like AWS , Google Cloud , or Microsoft Azure to manage infrastructure and deploy AI models efficiently.

AI 52

AI AI Machine Learning Machine Learning 52