Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Learning Spark: Lightning-Fast Data Analytics

Learning Spark: Lightning-Fast Data Analytics

Wenig, Brooke
Das, Tathagata
Damji, Jules S.

Paperback

ApplicationsGeneral ComputersProgramming

Publisher Price: $79.99

ISBN10: 1492050040
ISBN13: 9781492050049
Publisher: O'Reilly Media
Published: Aug 25 2020
Pages: 397
Weight: 1.40
Height: 0.90 Width: 7.00 Depth: 9.20
Language: English

Data is bigger, arrives faster, and comes in a variety of formatsâ 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. Through step-by-step walk-throughs, code snippets, and notebooks, youâ 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

Also from

Damji, Jules S.

View All

Also in

General Computers

View All