Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Zustand: 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!
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
EUR 50,98
Anzahl: 15 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 59,52
Anzahl: 3 verfügbar
In den WarenkorbZustand: New. In.
Zustand: New. 2020. 2nd ed. Paperback. . . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 80,24
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 2nd edition. 300 pages. 9.25x7.25x1.00 inches. In Stock.
EUR 51,34
Anzahl: 3 verfügbar
In den WarenkorbZustand: NEW.
Zustand: 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.
Taschenbuch. Zustand: Neu. Learning Spark | Lightning-fast Data Analytics | Jules S. Damji (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | O'Reilly Media | EAN 9781492050049 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Neuware -Data is bigger, arrives faster, and comes in a variety of formatsand 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. Through step-by-step walk-throughs, code snippets, and not Elektronisches Buch, you'll 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 MLflowLibri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch.
Taschenbuch. Zustand: 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.
Taschenbuch. Zustand: Neu. Neuware -Data is bigger, arrives faster, and comes in a variety of formatsand 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. Through step-by-step walk-throughs, code snippets, and not Elektronisches Buch, you'll 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 Englisch.
Anbieter: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Deutschland
Softcover. Zustand: gut. 2020. Learning Spark: Lightning-fast Data Analytics In deutscher Sprache. pages.