Buku

Learning Spark Lighting-Fast Data Analytics

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Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you willl be able to:
Learn Python, SQL, Scala, or Java high-level Structured APIs
Understand Spark operations and SQL Engine
Inspect, tune, and debug Spark operations with Spark configurations and Spark UI
Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka
Perform analytics on batch and streaming data using Structured Streaming
Build reliable data pipelines with open source Delta Lake and Spark
Develop machine learning pipelines with MLlib and productionize models using MLflow

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.312 DAM l

Penerbit

United States of America : Databricks., 2020

Deskripsi Fisik

510 hal; Illus; 24 cm

Bahasa

English

ISBN/ISSN

978-1-492-05004-9

Klasifikasi

006.312

Tipe Isi

text

Tipe Media

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Tipe Pembawa

volume

Edisi

edisi kedua

Subjek

Machine learning, big data

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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