As technology continues to evolve and consume our daily lives, more consumers than ever before are turning to eCommerce options. Of course, one of the largest eCommerce platforms in the world is Shopify. While the Shopify platform has a lot to offer businesses, managing your Shopify store’s data alone can be quite challenging. The good news is that you don’t have to take on the complexities of data management alone.

As the business world increasingly becomes dependent on technology, the way in which companies handle and store their data becomes even more important. Therefore, finding a safe and secure place to store company data is becoming a necessity in the digital age. One robust cloud data warehouse that has been helping many companies safely store their data is known as Amazon Redshift.

Currently, there is an estimated 1.145 trillion MB of data created every single day. With such enormous volumes of data constantly being generated, businesses are quickly adopting cloud computing storage options. However, even with the popularity of cloud computing, many companies are still lagging in storage efficiency. One of the more innovative and efficient data warehouses is the cloud-based data storage solution Firebolt.

Data security is an important priority for every organization that handles customer or user data, especially those that fall under data privacy and protection laws such as the EU’s General Data Protection Regulation (GDPR). Large volumes of personal data flow in and out of companies and their systems every day, and the threat of data breaches looms over these operations. How can organizations use their data to power critical operations without running afoul of regulations or privacy concerns?

Salesforce is the world’s leading CRM (customer relationship management) software, with a 20 percent market share. The Salesforce CRM software is chock-full of features for business intelligence (BI) and analytics so that you can capture hidden insights and make smarter, data-driven decisions. The traditional ETL (extract, transform, load) process extracts data from one or more sources and then deposits it into a centralized data repository.

Over the last two decades, the Salesforce platform has been transforming how organizations handle customer relationship management. Through the platform’s innovation, countless organizations have been able to gain an edge over their competitors when it comes to increased communication and improved customer relationships. Salesforce offers many benefits to organizations and is very user-friendly.

Simply put, data migration is the process of moving data from one location to another. While the concept is easy to understand by itself, things become a bit more complicated when actually trying to implement data migration within a business. In the ever-changing business landscape, data is becoming more important than ever. In fact, in the new data-driven business world, understanding data migration and learning how to implement it is becoming vital among businesses.

When using Heroku, it is common practice to transfer or back up data to external locations. While there are many steps in this process, creating an efficient pipeline is relatively simple once you understand all the moving parts. In this article, we show you how to migrate data from Heroku to Amazon S3. In this particular case, we will be connecting and transferring Salesforce data.

In the ever-changing world of business, data is becoming more important than ever before. As data earns a more prominent role in business, the way in which organizations handle their data also becomes a bigger concern. If your organization has been looking for a better way to move, transform, and interact with data, then you need to check out the cloud-based data integration solutions of Dell Boomi and Integrate.io.

When machines need to communicate with one another and exchange data, they require certain formatting for specific data types. That's where SOAP API and REST API come into play. They allow for communication and transfer of data, but each is different in several ways. From implementation to their required resources, various attributes separate one from the other.