Moving data can be extremely tedious work and always has some risk involved. For businesses, moving data means potential downtime, outages, and lack of resources. When moving data from on-prem to the cloud, cloud to ground, cloud to cloud, physical to virtual, etc…thoughts of downtime, security breaches, and migration failures run through your head. These migrations are necessary though to achieve your business goals. What’s equally important is continuous replication after the migration. If you're migrating and replicating for high availability or disaster recovery purposes, you want to ensure you are using the correct tool. You wouldn't use a DIY approach for your mission-critical servers and applications, right? Well, the same goes for your BI data and tools. Analytic tools like Looker, Chartio, and Tableau can only be used to their full potential if you're running queries and analyzing data in real time (or as real-time as possible). Industries like retail, e-Commerce, telecommunications, healthcare, and much more rely heavily on BI to make data-driven decisions. Retailers use BI to personalize and enhance the customer experience. Healthcare providers use data insights to improve patient care, identify patients at risk for chronic diseases, and more. An international airline has found a way to use cognitive services to significantly enhance the customer experience. Flight crews now use mobile devices to access customer data, including allergies, food and seat preferences and previous travel history to offer truly personalized service. To show its customers that it values their information, the airline has launched a first-of-its-kind customer insights program that rewards those who share data by offering them airline miles (https://www.ibm.com/blogs/watson/2016/07/10-industries-using-big-data-win-big/). With data driving business decisions in pretty much every industry, wouldn't it make sense to ensure the data you're basing your decisions and steering your company on is as up to date and fresh as possible? That isn’t something you should leave to DIY and manual efforts. This should be an automated process that can replicate in real time. You do this by using the correct tools. Data warehouses like Amazon Redshift can house your Big Data and offer speed, cost efficiency, and scalability 10x greater than traditional technologies. To learn more about the benefits of Redshift here is a great blog to read through https://www.integrate.io/amazon-redshift-vs-traditional-data-warehouses/ To get your data there and continuously replicate your data so you're getting the most out of it, you use Integrate.io. Integrate.io automatically loads your data to Amazon Redshift continuously and securely in a matter of minutes. With support for many data sources, proven technology, and real-time replication speeds, it makes sense for you to focus on uncovering data to make business decisions and leave the replication service to Integrate.io. You can learn more about Integrate.io and request a demo or free trial here: https://www.integrate.io/solutions/