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Data. Big data is everywhere in your business and odds are good that you have petabytes of it. From your customer's purchasing information to financing data, you need to make sure that you are properly managing your data. This means working on recording, organizing, and analyzing it. As the old expression goes, "Junk in, junk out." If you don't properly manage your data, you'll have nothing but junk. This means that you have to store your data and datasets.

Amazon Redshift is one of the leading big data management services that any business can use to extract, transform and load data for various business uses. Amazon’s AWS platform is designed to help with that by providing access to Amazon Redshift with scalable AWS services. Redshift is complex, which gives you a lot of customization options but can also be harder to optimize without help. Here are 10 Amazon Redshift performance tips to maximize your Amazon Redshift experience.

Workflow Recipes provide ready-made solutions for common Workflow tasks. To make your life easier, you can find a range of different Recipes along with examples of entire Workflows.

It’s hard to imagine developing apps for iOS without a Mac computer. There is no sign of this changing any time soon, but there are still ways to build the app for iOS and release it to the App Store even if you don’t have a Mac. With Flutter and Codemagic, you can build and distribute iOS apps without buying a Mac computer yourself.

We are excited to announce our collaboration with LambdaTest, a leading cross-browser testing platform. You can now perform mobile app testing on LambdaTest’s real device cloud as part of your Codemagic CI/CD workflow.

Amazon Redshift is a fully managed data warehouse solution that allows you to efficiently analyze all your data using your existing business intelligence tools. While Amazon Redshift is one of the industry's top data storage solutions, many considerations need to be made before using AWS Redshift. One of the primary elements of any cloud-based storage solution is knowing how to transfer and secure data properly. Here, we will break down how to properly move data to and from the AWS Redshift platform.

Guest writer Milica Aleksic shares her tips for making the switch from web to mobile development using React Native.

Amazon Redshift, part of Amazon Web Services, is typically the final destination of many data integration projects. Data-driven companies move data from various locations to Amazon's user-friendly, high-performance cloud data warehouse so they can run that data through business intelligence (BI) tools such as Looker and Zoho. This process helps these companies gain unparalleled real-time insights into their organizational workloads so decision-makers can improve workflows.