DJ Patil - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Data Wrangling on AWS. Clean and organize complex data for analysis
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
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Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
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Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
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Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
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Deep Learning. A Practitioner's Approach
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
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Effective Computation in Physics
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Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
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Instant MapReduce Patterns - Hadoop Essentials How-to. Practical recipes to write your own MapReduce solution patterns for Hadoop programs
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Data Jujitsu: The Art of Turning Data into Product
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Building Data Science Teams
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Big Data Analytics with R and Hadoop. If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential