Learn what the modern data stack is, the components that make it up, the role of data integration and transformation, how to build one, and more!

In this article, Zuar covers what a data steward is, their roles and responsibilities, the benefits of data stewardship, and how data stewards differ from data analysts.

In this helpful guide we'll discuss what an ETL pipeline is, why it's used, why ELT is a better option, and more.

See what modern data architecture looks like, its pillars, cloud considerations, simplifying with an end-to-end data pipeline solution, and more!

Learn all about Google Bigtable including what kind of database it is, how Bigtable works, popular use cases, and frequently asked questions.

Zuar explains the basics of AWS Data Pipeline including an overview, common terms, the pros & cons, set-up instructions, JSON samples, and more!

Customer data can be a gold mine for companies, but many aren’t using this data to its full potential. Customer data mining can provide insights to help your organization increase customer loyalty, enhance product profitability, and much more.

We dive into what dbt sources are, how they work, and how you can use them to advance your data warehouse.

In this in-depth guide, Zuar explains what data staging is, why it's important, types of data staging, software staging best practices, and more.

Learn about the top 5 most common data integration patterns: data migration, broadcast, bi-directional sync, correlation, and aggregation.

Learn the differences between data lakes, data mesh, and data fabric and how your organization can leverage these frameworks in your data stack.

Learn about the process of migrating your database including the benefits of cloud migration, creating a data strategy, and choosing a database.

Get an overview of Google Cloud Composer, including the pros and cons, an overview of Apache Airflow, workflow orchestration, and frequently asked questions.

This how-to guide explains Redshift's DATEDIFF function including arguments, examples, related functions, and frequently asked questions.

Amazon DocumentDB basics including types of NoSQL databases, DynamoDB vs. DocumentDB vs. MongoDB, and instructions for DocumentDB development.

See how companies create value with data, better understand the data lifecycle, and learn how to implement the data value chain.

Learn the basics of Google BigQuery including features and functionality, SQL examples, the architecture, and more.

Use this cheat sheet to quickly reference common S3 commands, buckets, storage classes, lifecycle management, and frequently asked questions.

Use this cheat sheet to quickly reference common Amazon DynamoDB commands, identity and access management, and more.