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 M Ruchi | Jun 26, 2025 | Data Science | 0 |
by M Ruchi | Nov 26, 2024 | Data Science | 1 |
by Sanjay Mishra | Jun 26, 2013 | Core Java | 0 |
by M Ruchi | Dec 7, 2025 | Data Science | 0 |
Monitoring a stored procedure involves tracking its execution to analyze performance, debug issues, and ensure correct functionality. Here are ways to monitor stored procedures in SQL Server or other relational database systems....
by M Ruchi | Dec 7, 2025 | Data Science | 0 |
by M Ruchi | Dec 7, 2025 | Data Science | 0 |
by M Ruchi | Nov 10, 2025 | Data Science | 0 |
by M Ruchi | Dec 7, 2025 | Data Science | 0 |
Monitoring a stored procedure involves tracking its execution to analyze performance, debug issues, and ensure correct functionality. Here are ways to monitor stored procedures in SQL Server or other relational database systems....
Read Moreby M Ruchi | Dec 7, 2025 | Data Science | 0 |
CSV and Parquet are both file formats for storing data, but they differ in several ways: Storage structure CSV files are row-oriented, while Parquet files are column-oriented. In a CSV file, each line is a record, and each...
Read Moreby M Ruchi | Dec 7, 2025 | Data Science | 0 |
Unity Catalog, a unified governance solution for data and AI assets on Azure Databricks. Overview of Unity Catalog Unity Catalog provides centralized access control, auditing, lineage, and data discovery capabilities across...
Read Moreby 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 More