yanfan001
17 noviembre 2018, 18:27
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Hands on big data streaming with Apache Storm
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 2.87 GB
Duration: 6 hours | Genre: eLearning | Language: English
A developer course for Apache Storm with Hands on practice
What you'll learn
Implement Apache Storm programs that take real time streaming data from tools like Kafka and Twitter, process in Storm and save to tables in Cassandra or files in Hadoop HDFS.
Develop distributed stream processing applications that can process streaming data in parallel and handle failures.
Implement stateful stream processing, implement data transformations like maps and filters and implement exactly once processing.
Requirements
Experience in developing software programs using Java. Use of Java IDE like Eclipse or IntelliJ
Description
Apache Storm is a popular tool for processing streaming big data in real time. Through this course, you will master writing Apache Storm programs in Java and also write interfaces to get data from tools like Kafka and Twitter, process in Storm and save to tables in Cassandra or files in Hadoop HDFS. You will also practice writing stateful processing of streaming data. Lot of practice demos and activities for provided for hands on learning, so you will implement the programs on your laptop.
Who is the target audience?
Any Java developer who wants to develop stream processing applications using Apache Storm
http://www.hostpic.org/images/1811172046070102.jpg
Download link:
*********_com:
http://*********.com/file/download/f5c57aa2d1f7C800/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part1.rar
http://*********.com/file/download/C6e7F16c5cf70dcC/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part2.rar
http://*********.com/file/download/cab84219af733B42/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part3.rar
nitroflare_com:
http://nitroflare.com/view/65BC2D82C055BD5/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part1.rar
http://nitroflare.com/view/03C6C0D5A473040/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part2.rar
http://nitroflare.com/view/129A25B384B5B0E/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part3.rar
rapidgator_net:
https://rapidgator.net/file/5558d169b6db67992876a4dd008f6b9c/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part1.rar.html
https://rapidgator.net/file/0bed820c706b6cc0ca96675993d9d78f/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part2.rar.html
https://rapidgator.net/file/5148409891b2d9c8829311f7bc50bceb/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part3.rar.html
Links are Interchangeable - No Password - Single Extraction
Hands on big data streaming with Apache Storm
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 2.87 GB
Duration: 6 hours | Genre: eLearning | Language: English
A developer course for Apache Storm with Hands on practice
What you'll learn
Implement Apache Storm programs that take real time streaming data from tools like Kafka and Twitter, process in Storm and save to tables in Cassandra or files in Hadoop HDFS.
Develop distributed stream processing applications that can process streaming data in parallel and handle failures.
Implement stateful stream processing, implement data transformations like maps and filters and implement exactly once processing.
Requirements
Experience in developing software programs using Java. Use of Java IDE like Eclipse or IntelliJ
Description
Apache Storm is a popular tool for processing streaming big data in real time. Through this course, you will master writing Apache Storm programs in Java and also write interfaces to get data from tools like Kafka and Twitter, process in Storm and save to tables in Cassandra or files in Hadoop HDFS. You will also practice writing stateful processing of streaming data. Lot of practice demos and activities for provided for hands on learning, so you will implement the programs on your laptop.
Who is the target audience?
Any Java developer who wants to develop stream processing applications using Apache Storm
http://www.hostpic.org/images/1811172046070102.jpg
Download link:
*********_com:
http://*********.com/file/download/f5c57aa2d1f7C800/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part1.rar
http://*********.com/file/download/C6e7F16c5cf70dcC/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part2.rar
http://*********.com/file/download/cab84219af733B42/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part3.rar
nitroflare_com:
http://nitroflare.com/view/65BC2D82C055BD5/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part1.rar
http://nitroflare.com/view/03C6C0D5A473040/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part2.rar
http://nitroflare.com/view/129A25B384B5B0E/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part3.rar
rapidgator_net:
https://rapidgator.net/file/5558d169b6db67992876a4dd008f6b9c/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part1.rar.html
https://rapidgator.net/file/0bed820c706b6cc0ca96675993d9d78f/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part2.rar.html
https://rapidgator.net/file/5148409891b2d9c8829311f7bc50bceb/vdw34.Hands.on.big.data.streaming.with.Apache.Stor m.part3.rar.html
Links are Interchangeable - No Password - Single Extraction