by Haley Burton | August 05, 2021

Connectivity Powers Modern Data Management

The challenges of the past year have had far-reaching impacts on businesses worldwide. Organizations have been forced to become far more flexible and adapt to significant changes in workforce, distribution channels, and general operations. Despite this, or perhaps because of it, data and data management technologies have become critical business differentiators.

With an unexpected and unconventional year almost behind us, it is time to look ahead to the trends in data management technologies that will shape the year ahead.

Accelerating Cloud Adoption

It should be no surprise that the shift to the cloud will only accelerate. According to Deloitte, “Clearly, hybrid cloud is the new normal. According to a March 2020 report, more than 90% of global enterprises will rely on hybrid cloud by 2022. Another survey from the same month found that 97% of IT managers planned to distribute workloads across two or more clouds in order to maximize resilience, meet regulatory and compliance requirements, and leverage best-of-breed services from different providers."

Hyperscale cloud platform providers like AWS, Microsoft, Google, and Oracle continue to expand their services to support massive enterprise workloads and a small fraction of the cost of on-premises IT investments. At the same time, SaaS solutions for many traditional back-office services like CRM, ERP, and Accounting have become de facto standards for business operations.

The benefits of moving to the cloud include enhanced agility, cost savings, and streamlined operations. However, this shift creates significant challenges for data management. Cloud adoption increases the creation of dispersed data silos, which add complexity to data management, governance, and analytics processes

Continuing Growth of APIs & Data Sources

As organizations shift their infrastructure to cloud technologies, data has become more decentralized and far more difficult to fully leverage as a strategic asset. While APIs provide an extensibility point for accessing data, every integration is unique, making it challenging to extract actionable insights from disparate systems.

As a result, technologies like Data Virtualization, Data Integration, Data Connectivity, and Data Warehousing will continue to be critical data management components which will bring prepared organizations to the next level.

Having a solid approach to understanding, accessing, aligning, and managing the growing complexity of the data ecosystem will propel the digital transformations efforts many organizations are undertaking today. At CData, we provide our customers with technologies that connect, integrate, and automate data across an organization's cloud ecosystem to empower their digital transformation journey.

Out-Of-The-Box Connectivity

CData helps organizations solve data fragmentation challenges by leveraging common standards to unify how applications interact with data. We offer data connectivity to 250+ SaaS, NoSQL, and Big Data sources that integrate through a common universally supported data layer. By removing the need for custom programming and API integration, we save your organization time and money.

Simplified Data Movement and Storage Solutions

Additionally, we support data and cloud data warehousing through data pipeline tools and integrations that simplify the process of aggregating data into any database or data warehouse. Data pipelines deliver seamless connectivity from mission-critical data sources where organizations generate, gather, analyze, and store data.

Our technology-agnostic approach allows us to augment existing systems and data integration efforts without forcing organizations to rip and replace existing systems to support new and existing data processes. This capability helps expedite cloud adoption and migration efforts by taking existing business processes, like analytics cubes, and quickly migrating them from a relational system, like Teradata, to a cloud-based offering, like Snowflake, without having to re-engineer their cubes.

Expanding Regulations Increase Data Governance Complexities

While global events have shifted some attention from government regulation and consumer protections, international policies are continuing to evolve. Regulations like EU General Data Protection Regulation (GDPR), and the California Privacy Law (CCPA), have set the stage for privacy laws to continue global expansion.

Each new regulation brings a new set of governance challenges, and hefty fines make compliance critical for any organization. As a result, organizations need to have clear data storage and data governance strategies for processing and identifying sensitive data.

Supporting regulatory compliance is another area where a logical data layer can provide tremendous value. Data virtualization technologies provide real-time unified access to heterogeneous systems of structured and unstructured data. Having a fully connected logical data layer makes it far easier to support requirements like the CCPA “Right to be Forgotten," where individual consumer or citizen data must be deleted across every system that touches that data.

Data Connectivity in Focus

As the volume and complexity of enterprise data continue to grow, it is crucial to look at data connectivity as a critical initiative for democratizing data. To harness data's strategic value, it needs to be readily available and support a broad spectrum of users and business use cases.

But thinking strategically doesn't mean you have to make large investments in new technologies and replace what is working. With CData, we offer a tactical approach to data connectivity that supports broad applications across every facet of data management. With our low-code approach to connecting and integrating data we empower our customers to get to the data they need, when they need it – without the need for custom development.

Whether you are looking for simple connectivity for analytics, supporting enterprise IT and business units with integration, setting up a data warehousing system, migrating to the cloud, developing applications, or building connectivity for just about anything else - we've worked with customers to support nearly every data connectivity need. Why don't you give us a try and see for yourself?

Connect with a CData expert to get a demo and learn how to connect, integrate, and automate your enterprise data today.