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EUR 16,24
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EUR 30,39
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Añadir al carritoCondición: New. pp. 276.
EUR 23,99
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Publicado por AuthorHouse, Bloomington, IN, 2006
ISBN 10: 1425964311 ISBN 13: 9781425964313
Idioma: Inglés
Librería: Paradise Found Books, Chico, CA, Estados Unidos de America
Ejemplar firmado
EUR 8,89
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Añadir al carritoSoft cover. Condición: Good. INSCRIBED by author on first page. Light edge wear and rubbing, front cover creased top and bottom corners, first several pages creased top corners, interior is clean. Inscribed by Author(s).
Librería: Wonder Book, Frederick, MD, Estados Unidos de America
EUR 32,25
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Añadir al carritoCondición: Good. Good condition. 2nd edition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
Publicado por Bloomington, Indiana, U.S.A.: Authorhouse, 2006
Librería: The Warm Springs Book Company, Fremont, CA, Estados Unidos de America
Original o primera edición Ejemplar firmado
EUR 19,52
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Añadir al carritoSoft cover. Condición: Near Fine. 1st Edition. A near fine to fine copy in a pictorial wraps. 1st edition. Inscribed (non personalized) and signed by the author on front end paper. 8vo., 257 pages. 0.0 0.0 0.0. Inscribed by Author.
EUR 51,97
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Añadir al carritoCondición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
EUR 51,97
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Añadir al carritoCondición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
EUR 50,79
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 56,86
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Librería: SecondSale, Montgomery, IL, Estados Unidos de America
EUR 31,53
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Añadir al carritoCondición: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Librería: SecondSale, Montgomery, IL, Estados Unidos de America
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Publicado por O'Reilly Media 8/11/2020, 2020
ISBN 10: 1492050040 ISBN 13: 9781492050049
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 51,72
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Añadir al carritoPaperback or Softback. Condición: New. Learning Spark: Lightning-Fast Data Analytics 1.4. Book.
EUR 59,37
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Añadir al carritoPaperback. Condición: New. 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 2.4., 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.
EUR 61,59
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Añadir al carritoPaperback. Condición: New. 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 2.4., 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.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 58,67
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 49,36
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 50,55
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por O'Reilly Media, Inc, USA, 2020
ISBN 10: 1492050040 ISBN 13: 9781492050049
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 59,52
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 636.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 50,38
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EUR 54,20
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Añadir al carritopaperback. Condición: Gut. 373 Seiten; 9781492050049.3 Gewicht in Gramm: 2.
EUR 71,46
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Añadir al carritoPaperback. Condición: New. 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 2.4., 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 57,57
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 76,63
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Añadir al carritoPaperback. Condición: New. 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 2.4., 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.
EUR 15,48
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Publicado por Oreilly & Associates Inc, 2020
ISBN 10: 1492050040 ISBN 13: 9781492050049
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 79,19
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 300 pages. 9.25x7.25x1.00 inches. In Stock.
EUR 68,34
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Añadir al carritoCondición: New. Updated to emphasize new features in Spark 2.4., 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-lea.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 86,99
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Añadir al carritoCondición: New. 2020. 2nd ed. Paperback. . . . . .
Publicado por O'reilly Media Aug 2020, 2020
ISBN 10: 1492050040 ISBN 13: 9781492050049
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 80,95
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - '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. But how can you process such varied workloads efficiently Enter Apache Spark. 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.'--Page 4 of cover.