Getting Started with Data

Understand data mapping in the ETL process. Learn key benefits and how to design mappings and flows.

So, what is data ingestion, and how can you use it to process big data? Learn all the best practices for managing big data in this expert guide.

Many startups only consider compliance when something goes wrong. At that point, it's too late to set your company up for success.

Are custom API integration services on your roadmap? We'll break down the key components, pros, cons, and better API alternatives for faster integration.

Learn the concept of data centralization -- benefits and challenges + effective strategies for implementation and real-world, successful examples.

Understand the Single Customer View - how to create it + best practices for managing challenges businesses face when trying to implement it practically.

What are the biggest roadblocks faced by data science teams? This in-depth guide tackles the top data analytics challenges with tips to overcome them.

ETL and SQL are frequently used together in data management. Here’s what you need to know about using ETL with SQL for your next data project.

Highlighting the significance of monitoring performance in the culinary world, this article outlines the top 15 Key Performance Indicators (KPIs) crucial for restaurants, using examples ranging from renowned establishments to local gems.

This guide covers everything a data analytics team would want to know about managing a data pipeline. Helpful ETL tools and big data best practices.

Data is the lifeblood of organizations, but what do companies do with it? There are really only 3 ways to extract valuable insights from your business data.

Design considerations for your business's ETL architecture. ETL, ELT, Reverse ETL and more.

We dive into the ETL best practices development, monitoring, and maintenance. Before you start moving data for analytics, make sure you read this guide.

Hire a SQL consultant when you're looking to enhance the customer experience by improving database performance.

Get value out of your data, fast. In this article, we outline how to extract insights from your enterprise data.

What is a successful data integration strategy? How should you evaluate data integration tools? How do you get value with a scalable data architecture?

Learn about cloud data integration, the benefits and challenges of cloud data integration, and explore the many different use cases.

What is a data connector? How does it work? Why does it matter? Learn practical applications for data extraction, ingestion and ETL in this technical guide.

A comprehensive guide to data integration best practices - Supercharge your business decisions, automate manual workflows, and build a tech stack that scales.

Comprehensive list of 175+ PostgreSQL consultants along with evaluation criteria, use cases and alternatives.

Comprehensive list of 175+ MySQL consultants along with evaluation criteria, use cases and alternatives.

Improve your online store's operations with an ecommerce data integration. Connect your CRM, inventory, and SaaS apps with your ecommerce platform.

Learn the differences between types of data centers, costs, and how cloud data infrastructure works. Compare the top 20 data management tools.

Learn how data automation can streamline ETL processes, improve engineering efficiency, and deliver valuable business insights for better decision making.

Curious about ETL vs. ELT? Learn the key differences and top reasons to choose each data management strategy.

Discover the power of a composable Customer Data Platform (CDP) that enables you to orchestrate and activate your customer data across multiple systems.

Understand the key differences between data orchestration and Extract, Transform, Load (ETL) processes for data integration.

Engineer a reliable data pipeline with a proven data architecture. Follow these best practices for a smooth and scalable data integration.

What is the long tail of data? This in-depth guide explains the concepts behind long-tail data distribution and how to analyze large data sets.

This guide covers all the various types of data sources and examples. Plus, use these 20+ free data providers for your next data science project.

Understand the top causes of data quality issues and the effective long-term strategies to achieve optimal data integrity.

Developing an ETL strategy? Learn ETL best practices, data pipeline tips, and how to choose an ETL tool for working with large data sets.

ETL along with reverse ETL are the keys to activating your business data. Here are the main differences between them.

Learn the differences between BI and Data Analytics to harness the power of data in your business operations.

Improve operational efficiency with this CRM integration guide. Learn how to connect and streamline your customer data across different business systems.

Building out your data team? This guide covers data analytics team structure, including roles, top skills, and priorities for data team leaders.

This guide breaks down the data consolidation process - along with tools, techniques, and how it's applied in different business sectors.

Managing big data is no small task. Get immersed into modern data management best practices to achieve superior data quality, reliability, and security.

The complete guide to data ingestion. Learn how to find or build ETL connectors for your data pipeline and data sources.