• When you load data from an external source, you load it into a suspense table. You can then review the data in the suspense table and modify it. To load data into the suspense table, position the source file or tape, specify the location of the source, and run the appropriate load external data process • To read the files, we use read_json() function and through it, we pass the path to the JSON file we want to read. Once we do that, it returns a “DataFrame”( A table of rows and columns) that stores data • Dask is a flexible library for parallel computing in Python. Dask is composed of two parts: Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads • Dask is a free and open-source library for parallel computing in Python. Dask helps you scale your data science and machine learning workflows. Dask makes it easy to work with Numpy, pandas, and Scikit-Learn, but that's just the beginning. • Apache Cassandra is an open source, user�available, distributed, NoSQL DBMS which is designed to handle large amounts of data across many servers. It provides zero point of failure. Cassandra offers massive support for clusters spanning multiple datacentre