Systems | Development | Analytics | API | Testing

When you need to get new features and products out the door fast, API management is the driving force to keeping everything on track. According to the "State of API Integration 2020" report by Cloud Elements, 83 percent of respondents say that API integration has become a critical part of their business strategy as they move forward on their digital transformation efforts. Leveraging integrations is what helps these companies agile and able to respond quickly to customer demands.

APIs have become an essential part of modern tech. Not only do they make it easy to tap into tech resources, but they also make it possible for developers to create apps that can work with other services. But what exactly is an API and how does it work? See this overview to learn more about this integral tech aspect.

With all the data that exists today, understanding how to aggregate data is more important than ever. However, before you can go about aggregating your data, you must understand more about it and learn what tools will best suit your needs in your pursuits. Read on to learn more about data aggregation and to pick up some tips on how to select the best aggregation software for your business.

According to Paolo Malinverno, research vice president at Gartner, “We already live in an API economy where CIOs must look beyond APIs as technology and instead build their company's business models, digital strategies, and ecosystems on them." Application Programming Interfaces (APIs) represent reusable code that forms the backbone of these digital transformation strategies. Understanding how API management works can help you determine how best to leverage your systems to gain the most value.

Have you ever needed to move data from a local database to the cloud? Or even just between different databases? Heroku Postgres might be just the tool you need to help with all of your data migration needs. Read on to learn how you can utilize Heroku Connect to migrate data between Heroku Postgres and Salesforce.

Many companies are now strategically using their data assets as the core of their digital transformation efforts. Building a data pipeline can help companies combine information from all their systems to gain insights into their business. A recent study showed that 59.5% of corporations using advanced analytics saw measurable results. Using a warehouse such as Snowflake can help companies leverage this information to drive business strategy.

Salesforce is the most popular CRM (customer relationship management) platform in the world. As last count, the Salesforce CRM enjoyed a 20 percent market share, with more than 150,000 companies among its customers. One of Salesforce’s best features is its ability to run business intelligence (BI) and analytics workloads to identify hidden trends and insights and make smarter decisions for your sales, marketing, and customer support teams.

Informatica Power Center blends four data engineering products into one system, making it one of the most feature-rich but complicated ETL/ELT platforms on the market. With data management, app integration, API gateway, and iPaaS features, smaller teams that struggle to tame this all-encompassing tool might seek out an Informatica alternative instead.

Every day, data analysts face the challenge of understanding and creating reports from their data warehouse. This difficulty may stem from the fact that data comes from multiple locations and often does not cohesively align. However, with a few tools at your disposal, you can efficiently create data modeling reports based on your organization's unique business needs. These techniques are some of the most effective data modeling techniques for data analytics teams everywhere.

Data is the new oil. Almost every industry is becoming more and more data-driven, and this trend will only continue to grow in the coming years. With so many organizations now relying on data for decision-making, they must easily access and analyze their information through data pipelines. This article will get you started on how to build your own data pipeline.