Spark Streaming

Spark Streaming

Apache Software Foundation
+

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About

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Programmers and developers

Audience

Developers interested in a beautiful but advanced programming language

Audience

Real-Time Data Streaming solution for businesses

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

JSON
Founded: 2001
www.json.org

Company Information

Python
Founded: 1991
www.python.org

Company Information

Apache Software Foundation
Founded: 1999
United States
spark.apache.org/streaming/

Alternatives

Alternatives

Alternatives

ksqlDB

ksqlDB

Confluent
Samza

Samza

Apache Software Foundation
XML

XML

World Wide Web Consortium (W3C)
Apache Kafka

Apache Kafka

The Apache Software Foundation

Categories

Categories

Categories

Integrations

Amazon CodeGuru
Amazon SageMaker Model Building
Baichuan-13B
Crowdin
Dfns
Gemini Advanced
GribStream
IBM Z System Automation
IDLE
LETSCMS MLM
MergeBase
Mistral Large
NLP Cloud
SCAPE CoCreator
SerpApi
Visual Studio Code
create-api.dev
doqs
pdfRest API Toolkit Self-Hosted
pytest

Integrations

Amazon CodeGuru
Amazon SageMaker Model Building
Baichuan-13B
Crowdin
Dfns
Gemini Advanced
GribStream
IBM Z System Automation
IDLE
LETSCMS MLM
MergeBase
Mistral Large
NLP Cloud
SCAPE CoCreator
SerpApi
Visual Studio Code
create-api.dev
doqs
pdfRest API Toolkit Self-Hosted
pytest

Integrations

Amazon CodeGuru
Amazon SageMaker Model Building
Baichuan-13B
Crowdin
Dfns
Gemini Advanced
GribStream
IBM Z System Automation
IDLE
LETSCMS MLM
MergeBase
Mistral Large
NLP Cloud
SCAPE CoCreator
SerpApi
Visual Studio Code
create-api.dev
doqs
pdfRest API Toolkit Self-Hosted
pytest
Claim JSON and update features and information
Claim JSON and update features and information
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Claim Python and update features and information
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