Real-Time Streaming with Apache Kafka, Spark, and Storm : Create Platforms That Can Quickly Crunch Data and Deliver Real-Time Analytics to Users

Real-Time Streaming with Apache Kafka, Spark, and Storm : Create Platforms That Can Quickly Crunch Data and Deliver Real-Time Analytics to Users

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Bibliografiske detaljer
Hovedforfatter:	Priyadarshini Jeyaraman, Brindha. (Auteur)
Format:	E-Book
Sprog:	Anglais
Udgivet:	New Delhi : BPB Publications.
Autres localisations:	Voir dans le Sudoc
Online adgang:	Accès à l'E-book

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Build Real Time Data Analytics on Google Cloud Platform : Build Real Time Data Analytics on Google Cloud Platform
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Real time analytics with SAP HANA
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Practical Machine Learning with R : Define, build, and evaluate machine learning models for real-world applications
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Apache Spark quick start guide : quickly learn the art of writing efficient big data applications with Apache Spark
af: Mehrotra, Shrey.
Udgivet: (2019)

Practical Real-time Data Processing and Analytics
af: Saxena, Shilpi.
Udgivet: (2017)

Real-time big data analytics : design, process, and analyze large sets of complex data in real time
af: Gupta, Sumit.
Udgivet: (2016)

Apache Spark for data science cookbook : over insightful 90 recipes to get lightning-fast analytics with Apache Spark
af: Chitturi, Padma Priya.
Udgivet: (2017)

Learning Apache Spark 2
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Udgivet: (2017)

Apache Spark graph processing
af: Ramamonjison, Rindra.
Udgivet: (2015)

Mastering Apache Spark 2.x : scalable analytics faster than ever
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Linux for Embedded and Real-time Applications
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Real-time data analytics for large scale sensor data.
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Udgivet: (2019)

Hands-on deep learning with Apache Spark : build and deploy distributed deep learning applications on Apache Spark
af: Iozzia, Guglielmo.
Udgivet: (2019)

Apache Spark 2.x cookbook
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Udgivet: (2017)

Apache Spark machine learning blueprints
af: Liu, Alex.
Udgivet: (2016)

Data Engineering with Apache Spark, Delta Lake, and Lakehouse : Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Udgivet: (2021)

Real-Time Animation with Adobe Character Animator : Animate characters in real time with webcam, microphone, and custom actions
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Apache Kafka 1.0 cookbook
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Apache Spark deep learning cookbook : over 80 recipes that streamline deep learning in a distributed environment with Apache Spark
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Observability in Finance : Achieving excellence in finance with effective observability
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Apache Spark 2.x for Java developers
af: Gulati, Sourav.
Udgivet: (2017)

Real-Time Embedded Components and Systems with Linux and RTOS
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Apache Spark 2.x machine learning cookbook
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DSP software development techniques for embedded and real-time systems
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Machine learning with Apache Spark quick start guide : uncover patterns, derive actionable insights, and learn from big data using MLlib
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Udgivet: (2018)

Databricks Certified Associate Developer for Apache Spark Using Python : The ultimate guide to getting certified in Apache Spark using practical examples with Python
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Frank Kane's taming big data with Apache Spark and Python
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Azure Databricks Cookbook : Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service
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Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1