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The project orientation is very much unique and it helps to understand the real time scenarios most of the industries are dealing with. And there is no limit, one can go through as many projects... Read More
I'm a Graduate student and came into the job market and found a university degree wasn't sufficient to get a good paying job. I aimed at hottest technology in the market Big Data but the word BigData... Read More
Lately, the phrase "ETL is dead" has become more popular. But that statement is flatly false. It should rather have been "Batch ETL is growing unpopular". Companies now believe not only in the power of data but also in the power of current-ness of data. This means that a dashboard that reveals sales pattern for yesterday is less correct than one that shows sales pattern in the last 30 minutes.
Kafka is a scalable and distributed streaming and messaging platform is a great choice for building today's ETL pipeline.
In this big data kafka project, we will see this in theory as well as implementation. We will see how data ingestion and loading is done with Kafka connect APIs while transformation will be done with Kafka Streaming API. But this is not all.
In this spark streaming project, we are going to build the backend of a IT job ad website by streaming data from twitter for analysis in spark.
Use the dataset on aviation for analytics to simulate a complex real-world big data pipeline based on messaging with AWS Quicksight, Druid, NiFi, Kafka, and Hive.
In this hadoop project, you will be using a sample application log file from an application server to a demonstrated scaled-down server log processing pipeline.