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Learning Spark: Lightning-Fast Data Analytics. Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee

Learning-Spark-Lightning.pdf
ISBN: 9781492050049 | 300 pages | 8 Mb

• Learning Spark: Lightning-Fast Data Analytics
• Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee
• Page: 300
• Format: pdf, ePub, fb2, mobi
• ISBN: 9781492050049
• Publisher: O'Reilly Media, Incorporated

Amazon audio books download iphone Learning Spark: Lightning-Fast Data Analytics 9781492050049 by Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee PDB

Data is getting bigger, arriving faster, and coming in varied formats—and it all needs to be processed at scale for analytics or machine learning. How can you process such varied data workloads efficiently? Enter Apache Spark.Updated to emphasize new features in Spark 2.x., this second edition shows data engineers and 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 discourse, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level APIs: DataFrames and Datasets Peek under the hood of the Spark SQL engine to understand Spark transformations and performance Inspect, tune, and debug your 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 Use open source Pandas framework Koalas and Spark for data transformation and feature engineering

Apache Spark™ - What is Spark - Databricks
Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. It was originally developed at UC Berkeley in 2009. · The largest open 
Learning Spark: Lightning-Fast Big Data Analysis by Holden
Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to 
Learning Spark: Lightning-Fast Data Analytics - Jules S. Damji
Data is getting bigger, arriving faster, and coming in varied formats--and it all needs to be processed at scale for analytics or machine learning. How can you 
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Learning Spark: Lightning-Fast Big Data Analysis. by Holden Karau , Andy Konwinski, et al.
Big Data Analytics with Spark: A Practitioner's Guide to Using
Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and Learning Spark: Lightning-Fast Big Data Analysis.
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Learning Spark : lightning-fast data analytics / Holden Karau
Learning Spark : lightning-fast data analytics / Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia. Karau, Holden. eBook | O'Reilly | 2015.
Learning Spark: Lightning-Fast Big Data Analysis
How can you work with it efficiently? This book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast 
Learning Spark: Lightning-Fast Big Data Analysis - Holden
Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to 
Learning Spark: Lightning-Fast Data Analytics (Paperback)
描述. Data is bigger, arrives faster, and comes in a variety of formats--and it all needs to be processed at scale for analytics or machine learning.
‪Holden Karau‬ - ‪Google Scholar‬
Learning spark: lightning-fast big data analysis. H Karau, A Konwinski, P Wendell, M Zaharia. " O'Reilly Media, Inc.", 2015. 531, 2015. High performance Spark: 
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