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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

In this blog, well explore the best data engineering tools that make data work easier, faster, and more reliable. Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. billion in 2024 , is expected to reach $325.01

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Predicting the Future of Data Science

Pickl AI

This blog explores the current state of Data Science, emerging trends, the role of generative AI, decision-making enhancements, ethical challenges, essential skills for future Data Scientists, and predictions for the next decade. Apache Kafka), organisations can now analyse vast amounts of data as it is generated.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

This blog aims to provide a comprehensive overview of a typical Big Data syllabus, covering essential topics that aspiring data professionals should master. Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. js for creating interactive visualisations.

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How to Build a Real-Time Data Analytics Platform with Snowflake and AWS

phData

Thanks to advancements in cloud technology and significant improvements in computational power, we now have the ability to visualize and analyze data as it is generated, with minimal lag. In this blog, we will uncover: What is real-time analytics, and why is it so important? A demo of the implementation.

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