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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Sonraí Bibleagrafaíochta
Príomhúdar:	Priyadarshini Jeyaraman, Brindha. (Údar)
Formáid:	E-Book
Teanga:	Anglais
Foilsithe:	New Delhi : BPB Publications.
Autres localisations:	Voir dans le Sudoc
Rochtain Ar Líne:	Accès à l'E-book

Míreanna Comhchosúla

Real-time Analytics with Storm and Cassandra
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Foilsithe: (2015)

Mastering Apache Storm : processing big data streams in real time
le: Jain, Ankit.
Foilsithe: (2017)

Building Python real-time applications with Storm
le: Bhatnagar, Kartik.
Foilsithe: (2015)

Apache Kafka quick start guide : leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
le: Estrada, Raul.
Foilsithe: (2018)

Apache Spark 2 : master complex big data processing, stream analytics, and machine learning with Apache Spark
Foilsithe: (2018)

Building Data Streaming Applications with Apache Kafka : Designing and deploying enterprise messaging queues
le: Kumar, Manish.
Foilsithe: (2017)

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
le: Goetz, P. Taylor.
Foilsithe: (2014)

Build Real Time Data Analytics on Google Cloud Platform : Build Real Time Data Analytics on Google Cloud Platform
le: Murari Ramuka.

Real time analytics with SAP HANA
le: Singh, Vinay.
Foilsithe: (2015)

Practical Machine Learning with R : Define, build, and evaluate machine learning models for real-world applications
le: Jeyaraman, Brindha Priyadarshini.
Foilsithe: (2019)

Apache Spark quick start guide : quickly learn the art of writing efficient big data applications with Apache Spark
le: Mehrotra, Shrey.
Foilsithe: (2019)

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

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

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

Learning Apache Spark 2
le: Abbasi, Muhammad Asif.
Foilsithe: (2017)

Apache Spark graph processing
le: Ramamonjison, Rindra.
Foilsithe: (2015)

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

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

Linux for embedded and real-time applications
le: Abbott, Doug (1944-....).
Foilsithe: (2012)

Real-time data analytics for large scale sensor data.
le: Das, Himansu.
Foilsithe: (2019)

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

Apache Spark 2.x cookbook
le: Yadav, Rishi.
Foilsithe: (2017)

Apache Spark machine learning blueprints
le: Liu, Alex.
Foilsithe: (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
le: Kukreja, Manoj.
Foilsithe: (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
le: Estrada, Raul.
Foilsithe: (2017)

SignalR - real-time application development
le: Ingebrigtsen, Einar.
Foilsithe: (2015)

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

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

Apache Spark 2.x for Java developers
le: Gulati, Sourav.
Foilsithe: (2017)

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

Apache Spark 2.x machine learning cookbook
le: Amirghodsi, Siamak.
Foilsithe: (2017)

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

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

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

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

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

Fuzzy neural networks for real time control applications : concepts, modeling and algorithms for fast learning
le: Kayacan, Erdal (19..-....).
Foilsithe: (2015)

Apache Superset quick start guide : develop interactive visualizations by creating user-friendly dashboards
le: Shekhar, Shashank.
Foilsithe: (2018)

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

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