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11 Open-Source Data Engineering Tools Every Pro Should Use

ODSC - Open Data Science

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. Data Visualization and Business Intelligence Tableau Tableau has revolutionized data visualization, offering a user-friendly platform for creating interactive dashboards and reports.

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A Comprehensive Guide to the main components of Big Data

Pickl AI

Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily. Power BI: Microsoft’s analytics service that offers robust visualisation capabilities integrated with other Microsoft products.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily. Power BI: Microsoft’s analytics service that offers robust visualisation capabilities integrated with other Microsoft products.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js APIs Understanding how to interact with Application Programming Interfaces (APIs) to gather data from external sources.

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Predicting the Future of Data Science

Pickl AI

Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Understanding real-time data processing frameworks, such as Apache Kafka, will also enhance your ability to handle dynamic analytics. Data Visualisation Skills: Tools like Tableau or Power BI are vital for presenting insights clearly.

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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. billion in 2024 , is expected to reach $325.01