IBM Big Data Hub

DECEMBER 20, 2023

For instance, organizations can capitalize on a hybrid cloud environment to improve customer experience, comply with regulations, optimize costs, enhance data security and more. In response to rapid data growth, healthcare entities have turned to hybrid cloud as an effective way to better help store and secure data in a private cloud.

Cloud 96

Cloud Digital transformation Customer Experience Compliance 96

IBM Big Data Hub

SEPTEMBER 11, 2023

IBM and AWS have been working together since 2016 to provide secure, automated solutions for hybrid cloud environments. The result is easier, faster cloud transformation, technology deployment, and more secure operations, which can help drive better business results. Netezza SaaS: Transitioning to the cloud has never been easier.

Customer Experience 107

Customer Experience Cloud Data migration Digital transformation 107

IBM Big Data Hub

FEBRUARY 5, 2024

Security: Leading cloud providers offer secure environments that comply with applicable industry standards and government regulations. They protect these environments with security tools, best practices and policies, updating them regularly and at scale as needed. Clearly defining these workflows makes for a smoother transition.

Cloud 67

Cloud Data migration Digital transformation Risk 67

IBM Big Data Hub

JULY 5, 2023

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. Comprehensive data security and data governance (i.e.

Analytics 61

Analytics Metadata Data migration Data science 61

IBM Big Data Hub

DECEMBER 4, 2023

This is also the time to determine which data will be migrated, as some older data may be best stored in a secure archive. During this phase, the platform is configured to meet specific business requirements and core data migration begins. Data : This is the phase for data conversion and data migration.

Cloud 74

Cloud Data migration Digital transformation Archiving 74

IBM Big Data Hub

SEPTEMBER 14, 2023

As enterprises modernize and migrate workloads to IBM Cloud, they often run into requirements that certain components of their application workloads to run on other cloud service provider networks. —to establish secure and reliable connectivity between the multicloud application components and services.

Cloud 72

Cloud Financial Services Insurance Compliance 72

IBM Big Data Hub

NOVEMBER 10, 2023

Ways to plan and prepare your data for migration: Complete a data audit of all existing legacy systems and applications to have a clear picture going into the data migration. Categorize the types of data you need to migrate and identify any redundancy by combing through the data and cleaning for accuracy.

Cloud 115

Cloud Data migration Access Manufacturing 115