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wso2 stream processor developer fundamentals Stream Processor is an open source, lightweight, Streaming SQL based platform that enables you to do running aggregations, to detect patterns, and to generate alerts on data streams in real-time.WSO2 Stream Processor Developer Fundamentals is a course aimed at training Software Engineers on the features of the WSO2 Stream Processor as well as the underlying concepts and standards. WSO2 Stream Processor (WSO2 SP) let you write queries with Siddhi Streaming SQL, a SQL like query language that packs the power of SQL as well as temporal operators. It can ingest data from a wide variety of sources such as Kafka, JMS, MQTT, and HTTP. It can fuse data streams with the data from RDBMS, Hazelcast, MongoDB, and HBase. When queries trigger, WSO2 SP can visualize the output, generate alerts, carry out actions, or invoke APIs. Enroll & Get Certified now!
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WSO2 Stream Processor Developer Fundamentals is a course aimed at training Software Engineers on the features of the WSO2 Stream Processor as well as the underlying concepts and standards.WSO2 Stream Processor (WSO2 SP) let you write queries with Siddhi Streaming SQL, a SQL like query language that packs the power of SQL as well as temporal operators. It can ingest data from a wide variety of sources such as Kafka, JMS, MQTT, and HTTP. It can fuse data streams with the data from RDBMS, Hazelcast, MongoDB, and HBase. When queries trigger, WSO2 SP can visualize the output, generate alerts, carry out actions, or invoke APIs.
There is no required Prerequisites for this course
What is Stream Processing and what issues does it address?
Real Use Cases
Overview of Stream Processor and Key Components
Event Simulation and Debugging via Stream Processor Studio
Lab: Creating a Simple Siddhi Application
Creating a New Siddhi Application
Editing an Existing Application
Trying Out Samples
Importing a Siddhi file
Exporting a Siddhi file
Lab: Consuming Events
Storing Events in Tables
Lab: Integrating Datastores
Lab: Pre-processing Streaming Data
Lab: Summarizing Stream Data – Short Term
Lab: Analyzing KPIs
Lab: Correlating Simple Events
Complex Event Processing
Lab: Correlating Events for Complex Event Processing
Lab: Analyzing Trends
Lab: Streaming Data Summarization
Lab: Making Real-time Predictions
Lab: Streaming Online Machine Learning
Lab: Detecting Anomalies
Lab: Publishing Processed Events
Creating a Simple Dashboard
Lab: Creating Custom Widgets
Lab: Managing Business Rules
Deploying Siddhi Applications
How to write Siddhi apps for distributed deployment
Minimum HA deployment
Fully Distributed Deployment
Lab: Monitoring the Stream Processor via the Status Dashboard
You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
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Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.
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You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.
We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.
Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy
Yes, the access to the course material will be available for lifetime once you have enrolled into the course.
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Top-rated instructors imparting in-depth training, hands-on exercises with high energy workshop
The training program includes several lab assignments, developed as per real industry scenarios.
Training begins taking a fresh approach from basic, unique modules, flexible, and enjoyable.
Basic to intermediate and eventually advanced practicing full hands-on lab exercises till you master.
Refresh training for experts for mastering and enhancing the skills on the subjects with fresh course modules.
Includes evaluation, feedback, and tips to handle critical issues in live setup after you are placed in a job.
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