Benchmark research, reports, and more.
Guide
Getting Started with Stitch Enterprise
How Stitch Enterprise meets the data needs of your organization.
Read now →
Benchmark
The State of Data Science
Just how many data scientists are there? How is the field changing?
Read now →
Benchmark
The State of Data Engineering
Explore salaries, job growth, and skill sets of data engineers.
Read now →
FAQ
Stitch FAQ
Quick answers to questions about Stitch and Singer.
Read now →
Guide
Setting the data strategy for your growing organization
Everything you need to know about building a data-driven company.
Read now →
Feature
How to choose the right business intelligence tool
Stitch surveyed its customers to learn which business intelligence tools they use. These seven tools were mentioned most often.
Read now →
Feature
On-premises and cloud data warehouses: a comparison
Choosing a data warehouse depends on factors like cost, resources, control, scalability, and security that are unique to a business and its goals.
Read now →
Feature
What are data migration tools?
Agile, scalable cloud-based data migration tools handle rapidly changing business needs with pay-as-you-go pricing.
Read now →
Feature
Google BigQuery: a serverless data warehouse
Google BigQuery, a cloud-based data warehousing and analytics platform with a built-in query engine, can process terabytes of data in seconds.
Read now →
Feature
Data ingestion: the first step to a sound data strategy
Data ingestion is the transportation of data from assorted sources to a storage medium where it can be accessed, used, and analyzed by an organization.
Read now →
Feature
OLTP and OLAP: a practical comparison
Online transaction processing (OLTP) captures, stores, and processes data from transactions. Online analytical processing (OLAP) analyzes data for insights.
Read now →
Feature
The causes and costs of data silos
Data silos waste business resources and make companies less efficient by inhibiting collaboration.
Read now →
Feature
How to use change data capture to optimize the ETL process
Businesses can optimize ETL by using change data capture to ingest only the data that has changed since the previous ETL operation.
Read now →
Feature
Business intelligence, data warehouses, and the cloud
Make faster, better decisions with business intelligence tools and a cloud data warehouse.
Read now →
Feature
Data strategy: what it is and how to achieve it
Data strategy refers to the tools, processes, and rules that define how to manage, analyze, and act upon business data.
Read now →
Feature
6 Redshift features that change the data warehouse game
Here's a look at six features that set Redshift apart from other cloud data warehouses.
Read now →
Feature
Understanding data replication and its impact on business strategy
Data replication stores the same data in multiple locations for faster access and improved system resilience.
Read now →
Feature
Business intelligence: a complete guide
Business intelligence (BI) is a collection of software tools and practices designed to leverage enterprise data to improve business decision-making.
Read now →
Feature
What is predictive analytics?
Predictive analytics applications parse complex data sets that integrate data from multiple sources to generate insights.
Read now →
Feature
MySQL: Get the best insights from your data, faster than ever
Drawing business insights from MySQL, the most popular open source RDBMS, requires an ETL solution.
Read now →
Feature
What is an enterprise data warehouse?
An EDW is a central repository that gathers enterprise data from multiple sources and makes it available for analysis, BI, and data-driven decision-making.
Read now →
Feature
What is data extraction?
Data extraction is the process of obtaining data from multiple sources, and moving it to a new destination designed to support online analytical processing.
Read now →
Feature
Snowflake vs. Redshift: choosing a modern data warehouse
These leading cloud data warehouses aren’t equally suited to all user needs.
Read now →
Feature
AWS S3 offers powerful features with minimal complexity
Amazon S3 is a cloud storage solution provided by Amazon Web Services, and is well suited for use as a data lake.
Read now →
Feature
What is enterprise data management?
Enterprise data management refers to a set of processes and activities focused on data accuracy, quality, security, availability, and good governance.
Read now →
Feature
What is a data pipeline?
A data pipeline is a set of actions that ingests raw data from disparate sources and moves the data to a destination for storage, analysis, or business intelligence.
Read now →
Feature
What is data transformation: definition, benefits, and uses
Data transformation is the process of changing the format, structure, or values of data. It's a key step in ETL or ELT data integration.
Read now →
Feature
What is stream processing?
Streaming data is a continuous flow of data from sources such as mobile apps, e-commerce websites, GPS devices, and IoT sensors.
Read now →
Feature
Snowflake: a data warehouse to watch
Snowflake's cloud-based data warehouse allows storage and compute functions to scale independently.
Read now →
Feature
What is ELT? Understanding the difference between ELT and ETL
Cloud-based data warehouses and ELT deliver faster time to value than local hardware and ETL.
Read now →
Feature
Top ETL options for AWS data pipelines
Finding the best AWS ETL process for your business can make the difference between working on your data pipeline or making your data pipeline work for you.
Read now →
Feature
Amazon Redshift vs. Google BigQuery: a comparison
Redshift and BigQuery have many similarities, but also important differences that can tip the scales in a cloud data warehouse comparison.
Read now →
Feature
An executive’s guide to data integration
Data integration is the process of consolidating and homogenizing data from disparate sources into a central location for data analysis and BI.
Read now →
Feature
What is data mining?
Data mining is the process of extracting relevant patterns or trends from a data set — but there's more to it than that.
Read now →
Feature
Azure SQL Database: Grow your potential in the cloud
Azure SQL Database is Microsoft’s cloud-based SaaS relational database service, which is managed for availability, durability, and scalability.
Read now →
Feature
Unlocking big data with retail data analytics
Retail data analytics uses big data technology to optimize the customer experience, supply chain, inventory management, and retail expansion.
Read now →
Feature
Database vs. data warehouse: differences and dynamics
An introduction to the key differences between databases and data warehouses, two components of a data pipeline.
Read now →
Feature
14 key metrics in Google Analytics for digital marketing
Learn about 14 Google Analytics metrics that all digital marketers should understand.
Read now →
Feature
Data warehouse: a foundation for business intelligence
Learn about the role of a data warehouse in improving data accessibility and enhancing decision-making.
Read now →
Feature
What is a data lake?
A data lake is a centralized repository of raw, untransformed enterprise data. Today, most data lakes are implemented on cloud-based storage platforms.
Read now →
Feature
Data warehouse design for data-driven enterprises
Design a robust data warehouse by considering user needs, data modeling, the physical environment, and ETL tools.
Read now →
Feature
Improve your data team's productivity through automated data analytics
Automated data analytics is the practice of using computer systems and processes to perform analytical tasks with little or no human intervention.
Read now →
Feature
PostgreSQL vs. MySQL: 9 key criteria to drive your database decision
PostgreSQL and MySQL are two of the better known open source databases in use today, but which one is right for your organization, and why?
Read now →
Feature
What is big data analytics?
Big data analytics transforms digital information into useful business intelligence with software that makes sense of the endless stream of data a business receives.
Read now →
Feature
MySQL vs. MariaDB: drop-in or diverging?
MariaDB started out as a fork of MySQL. A decade after its debut, how do the two databases differ?
Read now →
Feature
What is an operational data store?
An operational data store (ODS) is a central database used primarily for transactional functions and operational reporting.
Read now →
Feature
What is data consolidation?
Data consolidation is the corralling, combining, and storing of varied data in a single place to enable insights that drive better, faster decision-making.
Read now →
Feature
5 steps for choosing a cloud data warehouse
Learn about the most popular cloud data warehouses' key features and the criteria to use when evaluating them.
Read now →
Feature
Oracle Database: demystifying your data strategy
Accelerate your time to value with Oracle Database by replicating your data to a cloud warehouse.
Read now →
Keep up with Stitch news and feature releases.
A definitive guide to data definitions and trends.
More on working with data
Stitch has a variety of guides to help you learn how to get the data from your various databases, SaaS tools, and other technologies into your warehouse manually. See these sample guides on sending MySQL to Amazon Redshift, Google AdWords to Google BigQuery, Jira to Postgres, and Salesforce to Snowflake.