Computer Science Database Hadoop 
Smart Data Collective
FEBRUARY 21, 2020
Tom Dietterich, a professor of the Department of Electrical Engineering and Computer Science at Portland State University, has written an article on the impact of big data in this field. Some of the tasks that they might be issued with include, but are not limited to: Evaluating and testing computing and electrical systems.
Pickl AI
JUNE 5, 2025
SQL remains crucial for database querying, especially given India’s large IT services ecosystem. 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.
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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. This might involve querying databases, scraping websites, accessing APIs, or using existing datasets.
Smart Data Collective
NOVEMBER 8, 2020
Forging a Career Path in the Field of Data Science. With advancing technology, the data science space is rapidly evolving. Unlike the old days where data was readily stored and available from a single database and data scientists only needed to learn a few programming languages, data has grown with technology. and globally.
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. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.
Pickl AI
JULY 25, 2023
They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. 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.
Dataconomy
JULY 24, 2023
To put it another way, a data scientist turns raw data into meaningful information using various techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. Machine learning Machine learning is a key part of data science.
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