From Code to Insights: A Developer's Journey
Problem Given an n x n array, return the array elements arranged from outermost elements to the middle element, traveling clockwise. Examples For better understanding, follow the numbers of the…
Problem Write a function which makes a list of strings representing all of the ways you can balance n pairs of parentheses. For example: Source kata – 4kyu Tags RECURSION,…
Problems Write a function that takes a positive integer and returns the next smaller positive integer containing the same digits. For example: Return -1 (for Haskell: return Nothing, for Rust:…
Overview The evolution from data warehouse to data lakes to a Lakehouse architecture Data Warehouse Architecture (1990s) The fast rise of the internet and social media and the availability of…
Data Lake is an open-source project that enables building a data lakehouse on the top of existing cloud storage. It is It is not Open sourced Proprietary Technology Builds upon…
This post lists down a few Spark SQLs that focus on creating and loading delta lake tables, following by a group of handy statements to enrich loaded data and explicitly…
In the realm of data management, the need to efficiently track and manage changes in datasets has led to the development of Change Data Capture (CDC) techniques. CDC involves the…
This post provides insights into Delta Live Tables, distinguishing between Streaming Tables and Materialized Views, highlighting their features, differences, and best practices for Delta Live Pipeline Triggering Modes. What is…
Explore Spark SQL's powerful high-order functions—FILTER, TRANSFORM, EXISTS, and REDUCE—unleashing efficient data manipulation and array operations for seamless data transformations.
Explore the performance nuances of SQL, Python, and Pandas/Vectorized User-Defined Functions (UDFs) in Databricks, guiding optimal choices for efficient data transformations.
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