Spring Framework
Q. What is Spring Framework? A. The Spring Framework is lightweight, non-intrusive framework, providing the tools and facilities to write standalone,testable components for use in many common applications and scenarios.Spring...
by Sanjay Mishra | Nov 5, 2014 | Interview Q & A, Spring | 3 |
Q. What is Spring Framework? A. The Spring Framework is lightweight, non-intrusive framework, providing the tools and facilities to write standalone,testable components for use in many common applications and scenarios.Spring...
by Sanjay Mishra | Mar 15, 2015 | Web Services | 1 |
by Sanjay Mishra | Oct 12, 2014 | Core Java, Interview Q & A | 3 |
by Sanjay Mishra | Oct 26, 2014 | Core Java, Interview Q & A | 1 |
by M Ruchi | Nov 4, 2025 | Data Science | 0 |
Loading data from an on-premises data source to Azure Data Lake Storage (ADLS) using Azure Data Factory (ADF) involves the following steps. The key component for connecting on-premises data sources is the Self-Hosted Integration...
by Sanjay Mishra | Dec 1, 2013 | Core Java | 1 |
by M Ruchi | Nov 26, 2024 | Data Science | 1 |
by Sanjay Mishra | Sep 25, 2014 | Core Java | 1 |
by M Ruchi | Nov 10, 2025 | Data Science | 0 |
Learn how Z-Ordering in Apache Spark and Delta Lake optimizes query performance by clustering data based on specific columns. Discover how it reduces data scans, improves query speed, and enhances big data analytics efficiency.
by M Ruchi | Nov 4, 2025 | Data Science | 0 |
by M Ruchi | Nov 4, 2025 | Data Science | 0 |
by M Ruchi | Nov 4, 2025 | Data Science | 0 |
by M Ruchi | Nov 10, 2025 | Data Science | 0 |
Learn how Z-Ordering in Apache Spark and Delta Lake optimizes query performance by clustering data based on specific columns. Discover how it reduces data scans, improves query speed, and enhances big data analytics efficiency.
Read Moreby M Ruchi | Nov 4, 2025 | Data Science | 0 |
Schema Enforcement in Delta Lake Schema enforcement (also known as schema validation) is a key feature of Delta Lake, which ensures that the data being written to a Delta table matches a defined schema. This helps to maintain...
Read Moreby M Ruchi | Nov 4, 2025 | Data Science | 0 |
Understanding Delta Lake, Delta Table, and Delta Live Table in Databricks Databricks offers a suite of tools for managing and analyzing data efficiently, with Delta Lake, Delta Table, and Delta Live Table being core components....
Read Moreby M Ruchi | Nov 4, 2025 | Data Science | 0 |
Loading data from an on-premises data source to Azure Data Lake Storage (ADLS) using Azure Data Factory (ADF) involves the following steps. The key component for connecting on-premises data sources is the Self-Hosted Integration...
Read Moreby Sanjay Mishra | Oct 24, 2025 | Core Java | 0 |
Java LTS Versions Comparison Java’s Long-Term Support (LTS) releases define the foundation of modern enterprise software. From Java SE 8 (2014) to Java SE 25 (2025), the platform has evolved significantly — improving...
Read Moreby M Ruchi | Jul 19, 2025 | Data Science | 0 |
In Azure Data Factory (ADF), you can set up email notifications to alert users when certain events occur, such as the success or failure of a pipeline or trigger execution. Here’s how you can implement it: 1. Using Logic Apps...
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