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Book Overview & Buying
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Table Of Contents
Hands-On Artificial Intelligence for IoT - Second Edition
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This chapter dealt with many different data formats and, in the process, many different datasets. We started with the simplest TXT data and accessed the Shakespeare play data. We learned how to read data from CSV files using the csv, NumPy, and pandas modules. We moved on to the JSON format; we used Python’s JSON and pandas modules to access JSON data. From data formats, we progressed to accessing databases and covered both SQL and NoSQL databases. Then, we learned how to work with HDFS in Python. In our pursuit of understanding modern data storage solutions, we turned our attention to object storage, a crucial component in managing vast amounts of unstructured data. We examined popular object storage solutions such as Amazon S3, Google Cloud Storage, and Azure Blob Storage, along with open source alternatives such as MinIO and Ceph. Finally, we ventured into the cutting-edge territory of edge data storage and processing.
Accessing data is the first step. In the next...