Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 22,53
Cantidad disponible: 2 disponibles
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Librería: Dream Books Co., Denver, CO, Estados Unidos de America
EUR 22,54
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 20,75
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Añadir al carritoPaperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Librería: HPB-Ruby, Dallas, TX, Estados Unidos de America
EUR 20,75
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Añadir al carritopaperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Librería: Evergreen Goodwill, Seattle, WA, Estados Unidos de America
EUR 20,75
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Añadir al carritopaperback. Condición: Good.
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
EUR 26,87
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Añadir al carritopaperback. Condición: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 34,01
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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: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 30,44
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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
EUR 40,87
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 51,19
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 51,34
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por O'Reilly Media 8/11/2020, 2020
ISBN 10: 1492050040 ISBN 13: 9781492050049
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 53,72
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Learning Spark: Lightning-Fast Data Analytics. Book.
EUR 54,01
Cantidad disponible: 15 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 55,34
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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 51,40
Cantidad disponible: 15 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
EUR 53,38
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Añadir al carritoCondición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 59,41
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Añadir al carritoCondición: New.
EUR 66,18
Cantidad disponible: Más de 20 disponibles
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.
Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2020
ISBN 10: 1492050040 ISBN 13: 9781492050049
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 67,07
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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" 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 51,39
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Añadir al carritoCondición: New.
EUR 56,02
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Añadir al carritoCondición: new.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 60,02
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New. In.
EUR 56,58
Cantidad disponible: 2 disponibles
Añadir al carritopaperback. Condición: New.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 63,81
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New. 2020. 2nd ed. Paperback. . . . . .
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 58,79
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2020
ISBN 10: 1492050040 ISBN 13: 9781492050049
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 62,62
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 78,82
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New. 2020. 2nd ed. Paperback. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2020
ISBN 10: 1492050040 ISBN 13: 9781492050049
Librería: Revaluation Books, Exeter, Reino Unido
EUR 80,25
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 300 pages. 9.25x7.25x1.00 inches. In Stock.
EUR 51,77
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: NEW.
EUR 57,29
Cantidad disponible: Más de 20 disponibles
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.