As I teach students how to create tables in MySQL Workbench, it’s always important to review the meaning of the checkbox keys. Then, I need to remind them that every table requires a natural key from our prior discussion on normalization. I explain that a natural key is a compound ...
In addition, if you’re looking forward to getting into data pipeline architecture roles like data engineer or big data analyst, you have to learn tools likeApache Cassandra,Spark, andHadoop. All these tools are SQL-centric. If you were to use these tools, you would require technical know-...
but data in its many forms and entry types can lead to inconsistent or duplicate (redundant) information. More efficient data collection requires a more streamlinedprocess of data management. That’s where data normalization comes in.
then try to model a "base table" with common columns that are gpoing to apply to all scenarios, then create more tables (to implement some kind of inheritance; this is known as subtype / supertype in ERD and database design.)
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SQL Server Integration Services (SSIS) comes with a lot of functionality useful for extracting, transforming, and loading data. It can also play important roles in application development and other projects. But SSIS is far from the only platform that can provide these services. Yo...
There are a few rules for database normalization. Each rule is called a “normal form.” If the first rule is observed, the database is said to be in “first normal form.” If the first three rules are observed, the database is considered to be in “third normal form.” The third...
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That brings us to our next step: Data processing. The processing layer is responsible for transforming data into a consumable state through various operations, including validation, clean-up, normalization, transformation, and enrichment. The approach to this processing depends on the data pipeline arc...
Simple to implement Easier to manage Data consistent Disadvantages Risk of high downtime Harder to upgrade Can be a single point of failure Horizontal scaling Horizontal scaling (also known as scaling out) expands a system's scale by adding more machines. It improves the performance of the server...