| 000 | a | ||
|---|---|---|---|
| 999 |
_c31326 _d31326 |
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| 008 | 230220b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9789355420787 | ||
| 082 |
_a005.1 _bPAR |
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| 100 | _aParsian, Mahmoud | ||
| 245 | _aData algorithms with Spark : recipes and design patterns for scaling up using PySpark | ||
| 260 |
_bShroff Publishers, _c2022 _aMumbai : |
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| 300 |
_axx, 412 p.; _bill. _c24 cm |
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| 365 |
_b1600.00 _cINR _d1.00 |
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| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _aApache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script. With this book, you will: Learn how to select Spark transformations for optimized solutions Explore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions() Understand data partitioning for optimized queries Build and apply a model using PySpark design patterns Apply motif-finding algorithms to graph data Analyze graph data by using the GraphFrames API Apply PySpark algorithms to clinical and genomics data Learn how to use and apply feature engineering in ML algorithms Understand and use practical and pragmatic data design patterns. | ||
| 650 | _aComputer programming | ||
| 650 | _aData Mining | ||
| 650 | _aProgrammation | ||
| 650 | _aSpark | ||
| 650 | _aOpen source tools | ||
| 650 | _a Associative law | ||
| 650 | _aBinning | ||
| 650 | _aFlatMap | ||
| 650 | _a Input-Filter-Output design pattern | ||
| 650 | _a Join design patterns | ||
| 650 | _aMonoids | ||
| 650 | _aMotif finding feature | ||
| 650 | _aOne-hot encoding | ||
| 650 | _aPageRank algorithm | ||
| 650 | _aPipelines | ||
| 650 | _aTransformation algorithms | ||
| 942 |
_2ddc _cBK |
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