July 2021 Summaries

Standardized connectivity through Data APIs is helping organizations overcome data management challenges by providing a common interface for accessing application data, simplifying data ingestion, curation, and orchestration, and enabling plug-and-play connectivity between applications and data sources. Like USB, which standardized hardware connections, Data APIs are creating a universal interface for connecting with application data, reducing the need to upgrade hardware or constantly update API integrations.

Reverse ETL is the process of automating the flow of data from a database or data warehouse back out to external systems and applications, closing the loop that ETL/ELT starts, allowing users to easily access valuable data stored in the data warehouse. The rise in popularity of Reverse ETL stems from modern organizations' increasing usage and consumption of data across dozens of SaaS applications and tools, leading to a need for employees to extract and enrich their relevant data within their preferred tool. Organizations can use Reverse ETL to operationalize their data, such as augmenting CRM data with customer data or automating connectivity with Accounts Receivable data, reducing manual work and democratizing operational data, enabling informed business decisions.

The shift towards cloud-based models has led to a growing need for businesses to integrate their analytics and reporting tools with cloud data tools. Cloud-to-cloud integration is crucial for organizations to make the most of cloud data tools, enabling them to access data from anywhere, increase governability, and create a unified approach to data. However, integrating enterprise data into cloud-based BI and analytics platforms can be challenging without the right integration tools in place. A cloud-based integration platform-as-a-service like CData Connect can provide pure cloud-to-cloud integration, allowing businesses to leverage the benefits of their cloud platforms for better reporting and insights on enterprise data.

The use of APIs is growing exponentially, with over 24,000 public APIs available, and these APIs are continuously evolving to address enhanced performance, security, governance, and compliance. Integrating with these APIs poses a challenge for enterprise IT, requiring massive developer resources to build and update integrations. CData offers standards-based connector technologies to shield customers from the complexities of API integration, working closely with popular API providers to ensure seamless updates. By leveraging Cdata connectivity, customers can enjoy improved performance, faster read times, and unmatched read performance compared to other leading JDBC Drivers for Salesforce. The improvements are found in all 2021 Salesforce connectivity solutions, allowing customers to connect their live Salesforce data to various tools and applications without reconfiguration or rewriting.

ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are two popular data integration processes used to bring data from various sources into a data warehouse or data lake. ETL is commonly used in scenarios where data security and compliance are crucial, such as in regulated industries, while ELT is preferred when speed of delivery and flexibility are key. Both processes have their strengths and weaknesses, with ETL offering greater compliance and reduced storage costs but requiring custom code development and maintenance, whereas ELT provides faster data ingestion and flexibility but may be less compliant and reliable. The choice between ETL and ELT ultimately depends on the specific use case and requirements of the organization. An emerging approach called ETLT (Extract, Transform, Load, Transform) combines the benefits of both processes by extracting raw data, lightly transforming it to remove sensitive information, loading it into a staging area, and then performing more comprehensive transformations within the data warehouse.