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

Wedi'i Gadw mewn:

Manylion Llyfryddiaeth
Prif Awdur:	Priyadarshini Jeyaraman, Brindha. (Awdur)
Fformat:	E-Book
Iaith:	Anglais
Cyhoeddwyd:	New Delhi : BPB Publications.
Autres localisations:	Voir dans le Sudoc
Mynediad Ar-lein:	Accès à l'E-book

Eitemau Tebyg

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Mastering Apache Storm : processing big data streams in real time
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Building Python real-time applications with Storm
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Apache Kafka quick start guide : leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
gan: Estrada, Raul.
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Apache Spark 2 : master complex big data processing, stream analytics, and machine learning with Apache Spark
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Building Data Streaming Applications with Apache Kafka : Designing and deploying enterprise messaging queues
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Storm blueprints : patterns for distributed real-time computation : use storm design patterns to perform distributed, real-time big data processing, and analytics for real-world use cases
gan: Goetz, P. Taylor.
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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
gan: Jeyaraman, Brindha Priyadarshini.
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Apache Spark quick start guide : quickly learn the art of writing efficient big data applications with Apache Spark
gan: Mehrotra, Shrey.
Cyhoeddwyd: (2019)

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

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

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

Learning Apache Spark 2
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Cyhoeddwyd: (2017)

Apache Spark graph processing
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Cyhoeddwyd: (2015)

Mastering Apache Spark 2.x : scalable analytics faster than ever
gan: Kienzler, Romeo.
Cyhoeddwyd: (2017)

Linux for Embedded and Real-time Applications
gan: Abbott, Doug (1944-....).

Linux for embedded and real-time applications
gan: Abbott, Doug (1944-....).
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Real-time data analytics for large scale sensor data.
gan: Das, Himansu.
Cyhoeddwyd: (2019)

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

Apache Spark 2.x cookbook
gan: Yadav, Rishi.
Cyhoeddwyd: (2017)

Apache Spark machine learning blueprints
gan: Liu, Alex.
Cyhoeddwyd: (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
gan: Kukreja, Manoj.
Cyhoeddwyd: (2021)

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Apache Kafka 1.0 cookbook
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SignalR - real-time application development
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Cyhoeddwyd: (2015)

Apache Spark deep learning cookbook : over 80 recipes that streamline deep learning in a distributed environment with Apache Spark
gan: Sherif, Ahmed.
Cyhoeddwyd: (2018)

Observability in Finance : Achieving excellence in finance with effective observability
gan: Priyadarshini Jeyaraman, Brindha.

Apache Spark 2.x for Java developers
gan: Gulati, Sourav.
Cyhoeddwyd: (2017)

Real-Time Embedded Components and Systems with Linux and RTOS
gan: Siewert, Sam.

Apache Spark 2.x machine learning cookbook
gan: Amirghodsi, Siamak.
Cyhoeddwyd: (2017)

DSP software development techniques for embedded and real-time systems
gan: Oshana, Robert.

Machine learning with Apache Spark quick start guide : uncover patterns, derive actionable insights, and learn from big data using MLlib
gan: Quddus, Jillur.
Cyhoeddwyd: (2018)

Databricks Certified Associate Developer for Apache Spark Using Python : The ultimate guide to getting certified in Apache Spark using practical examples with Python
gan: Shah, Saba.

Frank Kane's taming big data with Apache Spark and Python
gan: Kane, Frank.
Cyhoeddwyd: (2017)

Azure Databricks Cookbook : Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service
gan: Raj, Phani.

Fuzzy neural networks for real time control applications : concepts, modeling and algorithms for fast learning
gan: Kayacan, Erdal (19..-....).
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Apache Superset quick start guide : develop interactive visualizations by creating user-friendly dashboards
gan: Shekhar, Shashank.
Cyhoeddwyd: (2018)

PySpark cookbook : over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
gan: Lee, Denny.
Cyhoeddwyd: (2018)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1