Import the Walmart sales data into a SQL database (e.g., MySQL, PostgreSQL, SQLite). Ensure the database schema matches the provided description. Run SQL Queries: Use a SQL client or tool to execute the queries in the walmart data cleaning/ directory. Modify the queries as needed for...
In this tutorial, you will be practicing some of the most common data cleaning techniques in SQL. You will create your own dummy dataset, but the techniques can be applied to the real world data (of the tabular form) as well. Lots of things to cover. Let's begin!
Data cleaning, also known asdata cleansingor scrubbing, involves identifying and correcting or removing errors, inaccuracies, and other anomalies in a dataset. It involves various techniques and procedures to improvedata quality, making it suitable fordata analysis. Common data quality issues that requi...
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In this chapter, you will deepen your data cleaning knowledge. You will learn how to deal with missing data, avoid duplicate data in your datasets, and work with different formats of dates. 3 Dealing with out of range values, different data types, and pattern matching ...
Data Quality Projects are used for data cleansing or data matching by mapping the source columns to the domains in the knowledge base and providing a set of rules for the further modification The Administration tab gives us an opportunity to monitor the data cleaning activities and to configure ...
datasets, both R and Python can be slow or run into problems, and the multiplicity of packages/libraries (many times with overlapping functionality) creates additional complexity in these environments. Therefore, in some cases, at least, doing some of the data cleaning and wrangling in SQL can ...
a very hands-on approach to learning SQL with frequent quizzes, dozens of exercises, code alongs and more complex challenges. Learners also work on a series of projects building databases and reports to better understand the SQL language and how it works to make data mining and analysis ...
A variety of transformations for cleaning, aggregating, merging, and copying data Application programming interfaces (APIs) for extending SSIS with your own custom scripts and componentsTo get started with SSIS, download the latest version of SSIS How to Create an ETL Package.To...
Spring cleaning is always helpful. Be strategic when you want to trim a row group. How large are the open row groups? How much data do you expect to load in the coming days? Learn more about indexes. Partitioning You might partition your table when you have a large fact table (greater...