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Data Pipelines with Apache Airflow

praising its incredible flexibility. Data Pipelines with Apache Airflow takes you through best practices for creating pipelines for multiple tasks;

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Modern Data Engineering with Apache Spark

Simplify data transformation with Spark Pipelines and Spark SQL Bridge data engineering with machine learning Architect modular data pipeline;

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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation;

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Data Engineering with Apache Spark, Delta Lake, and Lakehouse

how to effectively deal with ever-changing data and create scalable data pipelines to streamline data science, ML, and artificial intelligence;

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Big Data Analytics

, DataFrame based ML Pipelines and SparkR. * Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase;

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Apache Oozie Essentials

* Teaches you everything you need to know to get started with Apache Oozie from scratch and manage your data pipelines effortlessly * Learn to;

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Kafka in Action

Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Filled with real-world use cases and scenarios, this;

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Beginning Apache Spark 3

, you will have the knowledge required to build your own big data pipelines, applications, and machine learning applications. What You Will;

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Learning Spark

Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models;

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Programming Pig

projects on Hadoop. With Pig, you can analyze data without having to create a full-fledged application - making it easy for you to experiment with;

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Learning Apache Apex

-time data processing * Program Apache Apex streaming applications * This book shows you Apex integration with the open source Big Data;

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Apache Oozie

Get a solid grounding in Apache Oozie, the workflow scheduler system for managing Hadoop jobs. With this hands-on guide, two experienced;

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Apache Kafka Quick Start Guide

get familiar with solving everyday problems in fast data and processing pipelines. This book focuses on programming rather than the;

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Kubeflow for Machine Learning From Lab to Production

training to model serving. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data;

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Machine Learning with Apache Spark Quick Start Guide

, music, blogs and so on)? And once we can manage all of this data, how do we derive real value from it? The focus of Machine Learning with Apache;

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Learning Apache Spark 2

-step manner, taking one aspect of it at a time. This highly practical guide will include how to work with data pipelines, dataframes;

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Building Data Streaming Applications with Apache Kafka

practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with;

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Beginning Azure Synapse Analytics

analyze your big data using Serverless Synapse SQL Pool. You also will learn Synapse Spark and Synapse Pipelines, with examples. And you will;

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Network Data Analytics

of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different;

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Beginning Apache Pig

relatively little time to develop big data applications.The book is divided into four parts: the complete features of Apache Pig; integration with;

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Apache Spark 2

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key;

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Data Pipelines Pocket Reference Moving and Processing Data for Analytics

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide;

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Learn PySpark

. You'll then see how to schedule different spark jobs using Airflow with PySpark and book examine tuning machine and deep learning models for real;

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Learn PySpark

platforms. You'll then see how to schedule different spark jobs using Airflow with PySpark and book examine tuning machine and deep learning;

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Scala for Data Science

Leverage the power of Scala with different tools to build scalable, robust data science applications About This Book * A complete;

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Frank Kane's Taming Big Data with Apache Spark and Python

Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available;

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Mastering Hadoop 3

pipelines with security, monitoring, and data governance Explore batch data processing patterns and how to model data in Hadoop Master best;

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