- Check restrictions/limitations in question above.
- If you are migrating a database, (a) make sure there are no invalid objects in the source database before making the export.
- Take a full norows export to recreate objects that won't be transported with TTS.
- Keep the source database viable until you have determined all objects are in the target database and there are no issues (i.e. the target database has been thoroughly checked out and exercised).
- Do a dry run to work out any unexpected issues and determine timings.
Aspect Data Wrangling (Data Preprocessing) Exploratory Data Analysis (EDA) Objective Prepare raw data for modeling by cleaning, transforming, and formatting it appropriately. Explore and understand the data to gain insights, identify patterns, and make decisions on data handling and modeling. Order Typically performed as a preliminary step before EDA. Usually conducted after data wrangling to further investigate data characteristics. Data Handling Focuses on data cleaning, filling missing values, encoding categorical variables, and scaling features. Involves data visualization, statistical analysis, and summary statistics to uncover patterns, relationships, and anomalies. Techniques Techniques include imputation, outlier detection, feature scaling, and one-hot encoding. Techniques include histograms, scatter plots, box plots, correlation matrices, and descriptive statistics. Data Transformation Involves structural changes to the dataset, such as feature engineering, data normaliz...
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