latestnewsupdates

 In the age of AI and digital transformation, data is both a challenge and an opportunity. Enterprises today are flooded with structured data from ERP systems, semi-structured logs from applications, and unstructured data such as documents, videos, and IoT sensor streams. Without the right platform, this data quickly becomes fragmented and unusable. The Solix Data Lake Solution offers a powerful answer: a third-generation, enterprise-ready data lake designed not just for storage, but for governance, compliance, and intelligent activation of data across the business. Why Enterprises Can No Longer Rely on Legacy Data Platforms For years, enterprises depended on traditional warehouses and first-generation data lakes. These worked for specific use cases, but as data grew in volume, variety, and velocity , legacy approaches started showing cracks: High costs from redundant storage Silos that blocked a single source of truth Weak governance leading to compliance risks ...

 Data has become the most valuable asset of the digital age, but it also comes with responsibility. Modern privacy regulations ensure that individuals—not just corporations—have a say in how their personal information is handled. At the heart of these protections lies the Subject Right Request (SRR) , a powerful mechanism that gives people direct control over their data. What Is a Subject Right Request? A Subject Right Request (SRR) is a formal request made by an individual (the “data subject”) to exercise their data privacy rights under regulations such as GDPR, CCPA, or LGPD. Through SRRs, individuals can demand organizations to: Provide Access → Supply a copy of all personal data held. Correct Errors → Fix inaccurate or incomplete data. Delete Records → Remove personal data when legally permissible. Limit Processing → Restrict how data is used, such as for marketing. Enable Portability → Transfer personal data to another provider in a readable format. ...

  Enterprises across industries still rely heavily on legacy mainframe systems for mission-critical operations. While these systems once represented innovation and reliability, they now pose significant challenges — from skyrocketing maintenance costs to skill shortages and compliance risks. CIOs and IT leaders are realizing that mainframe retirement is not just a cost-cutting initiative, but a strategic move toward modernization, cloud adoption, and future-ready data management. The Challenges of Legacy Mainframes High Costs: Annual maintenance of mainframe hardware and licenses runs into millions. Skill Shortages: Expertise in COBOL, DB2 z/OS, and AS400 environments is rapidly disappearing. Compliance Pressure: Regulations like HIPAA, GDPR, and CCPA demand better governance, which old platforms struggle to deliver. Innovation Bottleneck: Legacy systems slow down digital transformation and AI adoption. Mainframe Retirement vs. Lift-and-Shift Many enterprises consider re-hosti...