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Big Data vs. Data Science: Demystifying the Buzzwords

Pickl AI

Big Data technologies include Hadoop, Spark, and NoSQL databases. Exploring the Data (Exploratory Data Analysis – EDA) Digging into the cleaned data to understand its basic characteristics, find patterns, identify trends, and visualize relationships. Data Science extracts insights and builds predictive models from processed data.

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

Pickl AI

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. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc.