Integrate

San Francisco, CA, USA
2012
Nov 25, 2022   |  By Bill Inmon
This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes. Five things you need to know about this topic: The data warehouse is the whack-a-mole of technology.
Nov 23, 2022   |  By Terence Bennett
With the ever-increasing volume of data being generated from a highly diverse set of data sources, organizations have started to increasingly direct their focus on solutions that can help them with data management more efficiently and effectively. Indeed, in the current decade, having a robust data infrastructure is key to an organization’s success, and timely data-driven decision-making is what every management is striving for today.
Nov 21, 2022   |  By Lyndsay Wise
Data warehousing requires data centralization, whereas data mesh enables a decentralized approach to data access. Organizations might think that the solution to their data management strategy requires a choice between the two, but the reality is that both approaches can and should co-exist.
Nov 18, 2022   |  By Bill Inmon
This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes. Five things to know about this topic.
Nov 16, 2022   |  By Mark Smallcombe
There is a famous saying that goes by: Coincidently, this is also true for data in modern times. The information which we see in pretty reports and charts or is displayed to users via an application has actually experienced a long run of data processing and transformations. These transformations are a result of well-planned ETL pipelines and data management strategies. Originating from different touchpoints, data witnesses several alterations throughout its lifecycle, such as.
Nov 14, 2022   |  By Lyndsay Wise
Many organizations are still under the impression that data governance can be achieved by implementing a data governance tool. This is false.
Nov 11, 2022   |  By Bill Inmon
There have been many stories going around about why people hate the data warehouse. My favorite story is from my old friend, Biaggio McPhee. Read about it below.
Nov 9, 2022   |  By Donal Tobin
In the competitive market of ETL solutions, platforms like Hevo, Airbyte, and Integrate.io are amongst the top contenders. While they all are ETL/ELT/Reverse ETL platforms, each has its unique set of features to offer. The best ETL tool for your business is the one that best fits in your modern data stack and is aligned with your unique requirements. So how do you decide which tool meets your business needs?
Nov 7, 2022   |  By Lyndsay Wise
Irrespective of what it’s called, the market has talked about what amounts to data mesh for several years. The concept of decentralized data management that is driven by business domains helps support the need for business-focused data outcomes. It also helps place value on where the value of data projects should be - on business needs. Data driven organizations need to look at business domains as a way of organizing the various desired outcomes of analytics and data movement initiatives.
Nov 4, 2022   |  By Bill Inmon
This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes.
Oct 12, 2022   |  By Integrate
AlloyDB stands out among cloud databases with its higher scalability, 99.99% availability SLA, and full integration with Google’s suite of AI/ML products—which allow it to deliver the best of the cloud to its customers. One AlloyDB use case involves migrating on-premises or self-managed PostgreSQL—or other hosted cloud-based databases—to AlloyDB. Watch this simple demo on how to achieve this migration easily with Integrate.io ETL.
Feb 23, 2022   |  By Integrate
Integrate.io - the data warehouse integration platform designed specifically for e-commerce. Transform your data warehouse into a data platform with Integrate.io’s ETL, ELT, Reverse ETL, and API Management offerings. Your data warehouse is no longer a place where your data goes to get stored. Your data warehouse needs to sit at the center of your operations and be the heartbeat of your organization.
Jan 11, 2022   |  By Integrate
Instead of the normal ETL or ELT process, we’ll do the opposite, Reverse ETL. Using Reverse ETL allows you to pull customer data from your data warehouse, then push data back into your CRM to empower your sales team. Learn how to enhance your lead data and win more deals during this webinar.
Oct 22, 2021   |  By Integrate
In this video, we will set up a database connection in Amazon RDS with Xplenty. AWS RDS is a feature-rich and mature offering that makes it easy for even less tech-savvy users to operate their own relational databases. Xplenty can help you gain the most benefit from your Amazon RDS deployment. Xplenty offers comprehensive data analysis and management and can integrate your Amazon RDS database with dozens of other services and products. In this way, you can use the technology stack that gives your business the greatest advantage.

Integrate’s cloud-based, easy-to-use, data integration service makes it easy to move, process and transform more data, faster, reducing preparation time so businesses can unlock insights quickly. With an intuitive drag-and-drop interface it’s a zero-coding experience. Integrate processes both structured and unstructured data and integrates with a variety of sources, including Amazon Redshift, SQL data stores, NoSQL databases and cloud storage services.

The most advanced data pipeline platform:

  • A complete toolkit for building data pipelines: Implement an ETL, ELT or a replication solution using an intuitive graphic interface. Orchestrate and schedule data pipelines utilizing Integrate’s workflow engine. Use our rich expression language to implement complex data preparation functions. Connect and integrate with a wide set of data repositories and SaaS applications.
  • Data integration for all: We believe that anyone should be able to create ETL pipelines regardless of their tech experience. That's why we offer no-code and low-code options, so you can add Integrate to your data solution stack with ease. For advanced customization and flexibility, use our API component. You can also connect Integrate with your existing monitoring system using our service hooks.
  • An elastic and scalable cloud platform: Let Integrate handle ops – deployments, monitoring, scheduling, security and maintenance – while you remain focused on the data. Run simple replication tasks as well as complex transformations taking advantage of Integrate’s elastic and scalable platform.
  • Support you can count on: Data integration can be tricky because you have to handle the scale, complex file formats, connectivity, API access and more. We will be there with you along the way to tackle these challenges head on. With email, chat, phone and online meeting support, we’ve got your back.

Big Data Processing Simplified. No Coding. No Deployment.