How “Delta Tables” Become “Slow” to “Query”? “Delta Tables” can “Grow” “Very Large Over Time”, leading to “Slow Query Performance” and “Increased Storage Costs”. How to “Speed Up” the “Query Performance” of the “Delta Tables”? Keeping the “Delta Tables” “Fast” and “Clean” is important for “Maintaining” the “Efficiency” of “Data Pipelines”. There are “Several Operations” and “Trade-Offs” that can “Positively Influence” the “Speed” of the “Delta Tables”.

“Disadvantages” of “Storing Data” in “Data Lake” In a “Data Lake”, like — “Azure Data Lake Storage Gen 2” in “Azure”, where the “Underlying Data” of a “Table” is “Kept” in the “Form” of “Multiple Files” of “Any Format”, it becomes “Very Difficult” to “Perform” the following “Operations” on those “Files” - Merge Operation “Updating” a “Record”…

What is “Unity Catalog”? “Unity Catalog” is a “Fine-Grained Data Governance Solution” for “Data” present in a “Data Lake”. Why “Unity Catalog” is Used “Primarily”? Suppose, in a “Lake House Project”, there is a “Database” in the “Hive Metastore” of a “Databricks Workspace”, and, in that “Database”, there are “Twenty Delta Tables” present. If the “Requirement” is to “Provide” a…

What is a “Tuple”? “Python Tuples” are the “Immutable Sequences of Arbitrary Objects”. Once “Created”, the “Elements” within the “Python Tuples” “Cannot” be “Replaced” or “Removed”, and, “New Elements” “Cannot” be “Added” to the “Python Tuples”. How “Python Tuples” are “Created”? “Python Tuples” are “Delimited” by “Parentheses”, i.e., “()”. The “Items” within the “Tuples” are “Separated” by “Commas”, i.e…

“Usage” of “Multiplication Operator” on “List” As with “Strings” and “Tuples”, the “Lists” support “Repetition” using the “Multiplication Operator”. The “Multiplication Operator” is often used for “Initializing” a “List” of a “Size, Known in Advance” with a “Constant Value” for the “Repetition”.

What is a “List”? “Python Lists” are the “Sequences of Objects”. Unlike “String”, the “Python Lists” are “Mutable”. That means, the “Existing Elements” within the “Lists” can be “Replaced” or “Removed”, and, “New Elements” can be “Inserted” or “Appended” to the “Lists”. How “Python Lists” are “Created”? “Python Lists” are “Delimited” by “Square Brackets”, i.e., “[]”. The “Items” within…

What is a “Range”? A “Range” is a “Collection”, rather than a “Container”. A “Range” is a “Type” of “Sequence” that is used to “Represent” an “Arithmetic Progression” of “Integers”. How “Ranges” are “Created”? “Ranges” are “Created” by “Calling” the “range () Constructor”. There is “No Literal Form” to “Create” a “Range”. Most typically, when “Creating” a “Range”…

When “Byte” is Used? The “Files”, and, the “Network Resources”, such as — “HTTP Responses” are “Transmitted” as “Byte Streams”. To “Read” and “Decode” such “Files”, and, “HTTP Responses” using “Python”, the “Byte” Data Type is used. “Bytes” in “Python” “Bytes” are “Very Similar” to the “Strings”. Whereas “Strings” are the “Sequences” of “Unicode Code Points”, the…

“Strings” in “Python” are what are called “Sequence Types”, which means that “Strings” support certain “Common Operations” for “Querying Sequences”. “Indexing” of “Strings” It is possible to “Access” the “Individual Characters” of a “String” using the “Square Brackets”, i.e., “[]”, with an “Integer 0-Based Index”. “In Contrast” to many “Programming Languages”, there is…