Each project comes with 2-5 hours of micro-videos explaining the solution.
Get access to 50+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
I think that they are fantastic. I attended Yale and Stanford and have worked at Honeywell,Oracle, and Arthur Andersen(Accenture) in the US. I have taken Big Data and Hadoop,NoSQL, Spark, Hadoop... Read More
Initially, I was unaware of how this would cater to my career needs. But when I stumbled through the reviews given on the website. I went through many of them and found them all positive. I would... Read More
Data is everywhere and constantly being generated around us. Using Big data tools, it is possible to ingest, process and make decisions based on data at high speed.
This big data project for beginners demonstrates how to use Apache Flume to ingest trading data from a source. While the default data flow is to archive all data to HDFS, Flume is also configured to channel some preconfigured symbols or trading pairs of interest to another processing server using Kafka. All the processed instructions are stored in a relational database (MySQL).
We will use following tools in this flume kafka project:
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.
In this hadoop project, we are going to be continuing the series on data engineering by discussing and implementing various ways to solve the hadoop small file problem.
In this big data project, we will see how data ingestion and loading is done with Kafka connect APIs while transformation will be done with Kafka Streaming API.