
Learn to create an Excel dashboard using Power Query, PivotTables, charts, and DAX measures. Master data modeling, conditional formatting, and dynamic updates for effective data visualization and analysis.

Comprehensive overview of DBMS architecture, covering abstraction, schemas, data models, languages, and the role of database administrators. Includes practical insights and application architectures.

This tutorial will give you a quick start to SQL. It covers most of the topics required for a basic understanding of SQL and to get an understanding of how it works.

Learn to create a Data Model with DAX formulas for PivotTable frequency distributions, including conditional formatting and big data handling in Excel.

Comprehensive introduction to Power Query for data importing, cleaning, and transformation in Excel and Power BI Desktop, with practical examples and hands-on exercises.

Learn Django for backend development: create projects, apps, views, and data models. Master debugging tools and build production-grade web applications with Python.

Learn to use Power Pivot in Excel for advanced data analysis, creating relationships between tables, performing calculations, and building insightful reports with Pivot Tables, KPIs, and Pivot Charts.

Comprehensive SQL tutorial in Hindi covering database fundamentals, RDBMS concepts, normalization, SQL commands, operators, functions, and joins. Includes hands-on lab session for practical learning.

Learn to migrate Universal Analytics events to GA4's new data model, covering integration, recommended events and parameters, GA4 tags, and implementation strategies.

Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.

Explore NoSQL databases, their advantages over relational models, and learn when to adopt them for modern application development. Gain insights into data models, CAP theorem, and decision-making criteria.

Learn SwiftUI basics to create apps for Apple platforms. Covers data modeling, detailed views, and navigation in a hands-on tutorial.

Explore how open-source data models are transforming finance, revolutionizing industry practices and fostering innovation in the financial sector.

Explore integrating Legend data models with BI and ML tools. Learn about TDS protocol, query execution plans, and practical applications through demos of Pandas and Trino integrations.

Explore the concept of data models in platform engineering, including blueprints, core models, and their importance in developer portals.

Comprehensive introduction to SQL for beginners, covering database basics, RDBMS types, data models, query writing, and integration with other tools. Ideal for aspiring data professionals.

Learn to create a robust data layer for Android apps, focusing on repositories, data sources, and models. Explore stream-based data exposure and effective testing techniques.

Comprehensive overview of Prometheus monitoring system, covering architecture, data model, querying, alerting, and recent feature updates for efficient cloud-native observability.

Explore building a ZooKeeper layer for FoundationDB, comparing data models, consistency guarantees, and watch semantics. Learn about emulating ZK using Directory Layer, changefeeds, and approaches for ephemeral nodes and session management.

Explore generative models in deep learning, covering theoretical perspectives, hacker models, information flow, and provable algorithms for learning classifiers and phylogenetic reconstruction.

Explore no-code internal developer portals, covering data models, software catalogs, self-service actions, and scorecards. Learn advanced uses like CI/CD integration in platform engineering.