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this is space and this is an egg moments before I attempted the worlds highest egg drop now in an egg drop competition in case you never had the chance to do it yourself in school the goal is to build a contraption that can protect a raw egg from breaking when dropped from the tallest type possible so my original plan was to drop an egg in a Contraption I built from the worlds tallest building but humans are always building taller buildings so if I really wanted to Future proof this record I realized I would need to go all the way to the top and straight to outer space and when I started on this journey three years ago I knew if I could draw my experience of Landing stuff on other planets I would be guaranteed the record but what I didnt know is this would be the most physically financially and mentally draining video I would ever attempt but first let me just explain what I was thinking the plan was to clamp an egg to the front of a rocket then attach that rocket to a weather ball

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What are the two types of data transformation?

During the transformation process, an analyst or engineer will determine the data structure. The most common types of data transformation are: Constructive: The data transformation process adds, copies, or replicates data. Destructive: The system deletes fields or records.

What does ETL mean in data management?

ETL is a type of data integration that refers to the three steps (extract, transform, load) used to blend data from multiple sources. Its often used to build a data warehouse.

What are the three stages of ETL?

At its most basic, the ETL process encompasses data extraction, transformation, and loading. While the abbreviation implies a neat, three-step process extract, transform, load this simple definition doesnt capture: The transportation of data. The overlap between each of these stages.

What does ETL mean in data?

ETL, which stands for extract, transform and load, is a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system.

How do you test for transformation in ETL?

The key to perform a successful ETL testing for data transformations is to pick the correct and sufficient sample data from the source system to apply the transformation rules. The first step is to create a list of scenarios of input data and the expected results and validate these with the business customer.

What is ETL in data cleaning?

ETL, which stands for extract, transform, load, are the three processes that, in combination, move data from one database, multiple databases, or other sources to a unified repositorytypically a data warehouse.

What are the 2 primary stages in data transformation?

Data transformation includes two primary stages: understanding and mapping the data; and transforming the data.

What are the different ways of data transformation?

There are 6 basic data transformation techniques that you can use in your analysis project or data pipeline: Data Smoothing. Attribution Construction. Data Generalization. Data Aggregation. Data Discretization. Data Normalization.

What is ETL example?

As the data is loaded into the data warehouse or data lake, the ETL tool sets the stage for long-term analysis and usage of such data. Examples include banking data, insurance claims, and retail sales history.

What are the test strategies for ETL testing?

The typical process to conduct a performance or scalability test is: Validate performance expectations, gather user demand business growth statistics. Build out performance test environment and identify test scenarios. Develop test scripts and test data and conduct tests. Performance analysis reporting.

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