Send Me Details For Data Ingestion With Flume & Kafka
Data ingestion is an art and science in itself. Ingesting data effectively into a Hadoop cluster or any other data store, requires a good understanding of the source and sink with an ability to configure data pipelines. Ingestion becomes a complex task, as we source events from multiple sources in parallel and need to deliver them to various destinations in real-time. High-speed data ingestion is especially critical when implementing real-time analytics.
To provide a thorough understanding of Flume configuration & Kafka. Participants will be able to implement practical data flows in their projects.
Some programming background, preferably Java.
The program is designed to provide working knowledge of Flume & Kafka. It involves implementing various data flows on a multi-node cluster. Key concepts in each area will be explained and working code provided. Participants will be able to run the examples and expected to understand code on their own with some pointers. Detailed code walk-though is not provided. Code is written in Java.
"Training conducted by Mindmap for "Business Analysis", "Big Data Analytics & Hadoop and Analytics for Business Using R " have received excellent feedback from my team and hopefully it will help them in delivering more challenging projects in future. Based on my interaction with my team, I recommend MCAL as a dependable training partner and if required hope to leverage your training in the future ."
Lokesh Jha, Chief Technical Officer(CTO) , Capgemini (India)
Big Data Analytics & Hadoop
" The training was extremely informative and valuable. The handson and practical approach helped in the overall understanding of the subject . Attending the training as a good start to getting deeper into the subject as concepts are clear . "
Amita Iyer, Senior Project Manager, Fiserv Global
Big Data Analytics
" Very well Structured with good hands on experience . Knowledge of trainer is excellent. "
Saibal Gupta, Consultant, Fractal Analytics(CPG)
Big Data Analytics
Big Data Strategy Definition
Architecting Data Platform
Building End To End Analytics Application
Front End Re-Engineering
Back End Re-Engineering
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