Description
Learning Spark (2nd Ed.)
Lightning-Fast Data Analytics
Authors: Damji Jules, Wenig Brooke, Das Tathagata, Lee Denny
Language: EnglishSubjects for Learning Spark:
Approximative price 78.12 €
In Print (Delivery period: 12 days).
Add to cart the book of Damji Jules, Wenig Brooke, Das Tathagata, Lee Denny300 p.
Description
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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
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