Data retention compliance is challenging, regardless of the industry. Simplify and streamline your data management while improving regulation compliance
Data retention—sometimes also referred to as record retention—is the storing and maintaining of data and records for a certain time period to meet business, audit, and compliance requirements. From keeping accurate financial records and complying with regulations to disaster recovery and feeding analytic engines, businesses depend on sound data retention policies to function optimally. (more)
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)
Opining on cloud data management, blockchain, cybersecurity, and internet freedom. Chairman at Solix Technologies, Inc. and Minds, Inc. Multi-cloud interoperability enables software applications to run and be accessed seamlessly across private and public clouds. Organizations today rely on multi-cloud environments to optimize their infrastructure investment with reduced cost and complexity, while at the same time never compromising on availability, security, or control. As a result, enterprise application portfolios now require full-stack portability across a range of vendor-supplied cloud architectures and on-premise environments. (more)
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)
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)