Cloud Data Management
Enhance Your Data Life Cycle Management: Understanding the Stages and Best Practices of Data Lifecycle Management
Data lifecycle management secures, stores, and structures your valuable enterprise data to meet regulatory requirements and fulfill business information demands while optimizing infrastructure and costs.
As the world moves into a fully-digital future, the amount of data enterprises produce is growing astronomically. According to a Seagate report, the total amount of data generated by 2025 will accelerate exponentially to 175 zettabytes. No wonder we refer to this as the Information Age and to data as the new oil! However, this data must be reliable, accurate, and readily available when needed to be truly valuable. Data lifecycle management can help. (more)
Becoming Cloud Native: How Web Standards And Open-Source Software Are Revolutionizing Application Development
Multicloud interoperability enables software applications to run and be accessed seamlessly across private and public clouds. (more)
What is an Enterprise Data Lake?
The rise of multi-cloud, data-first architectures and the broad portfolio of advanced data-driven applications that have arrived as a result, rely on data lakes to store all the data. A data lake is an open source and industry standard repository for storing large amounts of data. Subsequently, an enterprise data lake not only stores data, they also provide enterprise grade services to collect, explore, manage, govern, prepare and build pipelines for enterprise data. (more)
What is Cloud Data Management?
The rise of cloud native software and the broad portfolio of advanced data-driven applications that have arrived as a result require cloud data management systems to collect, organize, govern, and provide universal access to cloud resident data. Cloud data management architectures span private, multi-cloud, and hybrid cloud environments connecting data sourced not just from transaction systems, but from file servers, the internet or multi-clouds. (more)