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This is one of the best of investments you can make with regards to career progression and growth in technological knowledge. I was pointed in this direction by a mentor in the IT world who I highly... Read More
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
In this big data project we build a live workflow for a real project using Apache Airflow which is the new edge workflow management platform. We will go through the use cases of workflow, different tools available to manage workflow, important features of workflow like CLI and UI and how Airflow is differnt. We will install Airflow and run some simple workflows.
In this big data hadoop project, we will download the raw page counts data from wikipedia archieve and we will process them via Hadoop. Then map that processed data to raw SQL data to identify the most lived up pages of a given day. Then we will visualize the proecessed data via Zeppelin Notebooks to identify the daily trends. We will use Qubole to power up Hadoop and Notebooks.
All steps like downloading, copying data to S3, creating tables and processing them via Hadoop would be task in Airflow and we will learn how to craft scheduled workflow in Airflow.
In this Databricks Azure tutorial project, you will use Spark Sql to analyse the movielens dataset to provide movie recommendations. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.
Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.
This is in continuation of the previous Hive project "Tough engineering choices with large datasets in Hive Part - 1", where we will work on processing big data sets using Hive.