In this learning path, we dive into the various tools and techniques available for manipulating information and data sources. We then show you how you can use this knowledge to actually solve some real-world problems.
If you are trying to handle increasingly complex data sets or want to increase your knowledge as a professional data engineer, this is a great learning path to get a practical field-based understanding.
- Learn to determine when it's appropriate to use a programmatic approach versus pure SQL.
- How to access and manipulate your files and data sources using programming techniques available to you in languages such as Python.
- Familiarity with relational databases and other data formats such as CSVs and JSON.
- Baseline understanding of SQL
If you don't have all of these this learning path will still benefit you, but you might not be able to follow all of the examples.
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Learning Path Steps
A deep dive into the various tools and techniques available for manipulating information and data sources along with showing you at the end of it how you can actually solve some real-world problems.
This lab is aimed at students with a basic understanding of Python who want to learn about schemaless data and Amazon DynamoDB.
This lab will dive into understanding GET, POST, DELETE, and PATCH HTTP verbs and will teach you to use Python to interact with an REST API.
In this course, we are going to explore techniques to permit advanced data exploration and analysis using Python, focusing on the Pandas library.
In this hands-on lab, you will learn about the character classes and quantifiers elements of Regular Expressions, and use them to match patterns in text.
In this hands-on lab, you will work with regular expressions, learning how to use quantifiers, anchors, and capture groups to match patterns in text.
Regular expressions are a powerful tool for searching and manipulating text. In this hands-on lab you will learn how to use them effectively in real-world scenarios.
Knowledge Check: Wrestling Your Data
Calculated Systems was founded by experts in Hadoop, Google Cloud and AWS. Calculated Systems enables code-free capture, mapping and transformation of data in the cloud based on Apache NiFi, an open source project originally developed within the NSA. Calculated Systems accelerates time to market for new innovations while maintaining data integrity. With cloud automation tools, deep industry expertise, and experience productionalizing workloads development cycles are cut down to a fraction of their normal time. The ability to quickly develop large scale data ingestion and processing decreases the risk companies face in long development cycles. Calculated Systems is one of the industry leaders in Big Data transformation and education of these complex technologies.