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Machine Learning Made Easy: Q&A with Snowflake Head of Artificial Intelligence and Machine Learning Strategy Ahmad Khan

Snowflake

Why AI has everyone’s attention, what it means for different data roles, and how Alteryx and Snowflake are bringing AI to data use cases There’s a llama on the loose! With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics. Some takeaways?

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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed). Most organizations deploy some or all of these data pipeline architectures.

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10 Best Big Data Books in 2024 [Beginners and Advanced]

Knowledge Hut

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts.

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How to Become a Data Engineer in 2024?

Knowledge Hut

The spectrum of sources from which data is collected for the study in Data Science is broad. These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data.

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10 Sentiment Analysis Project Ideas with Source Code [2023]

ProjectPro

Between 2017 and 2023, the global sentiment analysis market will increase by a CAGR of 14%. The overall benefits of sentiment analysis include: Sorting Data at Scale: With sentiment analysis, companies don't have to sort through customer support conversations manually, thousands of tweets, and surveys. billion by the year 2027.

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Hadoop Ecosystem Components and Its Architecture

ProjectPro

HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets. The basic principle of working behind Apache Hadoop is to break up unstructured data and distribute it into many parts for concurrent data analysis.

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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

According to NASSCOM, the global big data analytics market is anticipated to reach $121 billion by 2016. Another research report by IDC predicts 27% compound annual growth rate for big data services and technologies by end of 2017 which equals 6 times the CAGR of the IT market as a whole.