The ultimate guide to data integration
Making data-driven decisions a reality across your organization.
Download free guideThe world is awash with data, with analytics helping business leaders make smarter decisions every day. But without data integration, those insights are siloed and limited.
Learn how data integration and a modern data mindset allows your organization to gain a comprehensive view of business operations and customer interactions, while unlocking the secret to more robust, scalable insights and happier teams.
This free guide gives you the insights to drive more integrated business decision-making, for more powerful data-driven results.
How developed is your data hierarchy?
A piecemeal approach to data integration misses vital foundations and can undermine your entire data strategy. Which of these elements do you have in place? Switch them on to complete the data hierarchy.
See the impact of adopting an ELT workflow
In all but a few niche cases, ELT is a superior data integration architecture to ETL. Lean, agile data teams can use ELT to address a wide range of challenges related to data integration.
Leverage automation
SQL-based data modeling
Cloud-native
Avoid building and managing infrastructure
Use with pre-built data models
Short load time
Data integrity and reliability
SQL-based data modeling
Cloud-native
Avoid building and managing infrastructure
Use with pre-built data models
Short load time
Prepare to
scale
SQL-based data modeling
Cloud-native
Avoid building and managing infrastructure
Use with pre-built data models
Short load time
See how workflows differ.
Programmatic control over data ingestion
Automated scheduling
Standardized data models
No-code data integration
Usable out-of-the-box/off-the-shelf
Automatic schema migration
Low or zero configuration
Fully managed services
Supports robust data governance tools
Compliance w/ regulatory and security standards
Pipeline insulated from transformation failure
Create new model without rebuilding data pipeline
Ingest full data model; access to raw data
SQL-based data modeling
Cloud-native
Avoid building and managing infrastructure
Use with pre-built data models
Short load time
Avoid the integration iceberg
Data pipelines are like icebergs. On the surface, they’re simple. But the majority of the work required is hidden from view, lurking beneath the surface. Data integration is a complicated task, with hidden depths and complexities.
Automated ELT allows you to start syncing data in minutes.
Data should update incrementally, starting with the most recent records. Analyze at your convenience.
to destination
.svg)
If you do it all yourself...
and triggers
updates
Typical Time Spent
Consider the total cost of ownership
There are tradeoffs between building your own data integrations, and committing to maintain them over time, or buying a solution as a service. In most cases, it makes more sense, saves time, and lowers costs to buy an off-the-shelf solution.
You will spend $629,000 in 75 weeks building and maintaining something you could deploy faster with Fivetran.*
* This is an approximation. Contact us for an accurate calculation.
Discover the secret to a high-performing data team
Data professionals strive to make sense of data, not wrangle it. A modern data stack enables higher-value uses of expensive data engineering, data science and analytics time.
.svg)
Download the full guide
Get the insights to drive more integrated business decision-making, for more powerful data-driven results.