Systems | Development | Analytics | API | Testing

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.

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.

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 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.

Choosing the right data warehouse is a critical component of your general data and analytic business needs. One of the biggest questions that businesses ask when choosing their data warehouse providers is this: Should you use Snowflake, Amazon RedShift, or Google's BigQuery data warehouse for your business needs? We've already covered Amazon RedShift vs. Snowflake and Google BigQuery vs. Snowflake, but what about Amazon RedShift vs. Google BigQuery?

What can you do with data collected on Heroku PostgreSQL? How will you analyze it and integrate it? With Integrate.io, of course! Integrate.io lets you connect to a PostgreSQL database on Heroku, design a dataflow via an intuitive user interface, aggregate the data, and even save it back to PostgreSQL on Heroku or other databases and cloud storage services. Read on to learn more about the benefits of Heroku Postgres and how to integrate Heroku PostgreSQL with Integrate.io.

When it comes to cloud data integration there are many benefits. However, although there are many benefits of cloud data integration for your company, it also comes with its own set of challenges. In the business world of today, cloud technologies have become increasingly more important in the evolving business and IT landscapes. Cloud technologies are used more and more because of the convenience, performance and cost-effectiveness they provide to companies compared to on-premises solutions.