New Service Mesh Survey Notes Interest, Not Feasibility
More companies are interested in deploying a service mesh, but it may not be the right choice for all.
With the wrong data architecture, businesses often end up collecting a huge amount of unstructured data but fail to achieve the business goals set out by the company.
More companies are interested in deploying a service mesh, but it may not be the right choice for all.
Customer data is the building blocks to an engaging and profitable customer experience. By leveraging a scalable cloud solution to activate and organize this data, businesses can make the most of untapped data and transform their marketing strategies, ultimately enhancing customer experiences and driving growth.
Activating knowledge graphs for data management applications offers a powerful way to enhance both analytical and operational processes. By unlocking the relationships between data assets, business metadata, and inferred connections, businesses can derive actionable insights, streamline compliance efforts, and build resilient, automated pipelines that adapt to changes over time.
Discover key trends from Ocient’s 2024 Data Management Report, from cost control to sustainability, and what they mean for business leaders navigating today’s tech landscape.
Discover how a data product mindset can help reduce complexity and harness the power of data for better business outcomes all around.
By embracing a strategic approach to data and workload migration and leveraging the inherent flexibility of hybrid cloud architectures, businesses can navigate the complexities of modernization while driving innovation and resilience.
Enterprises may look to data lakes to help them manage disparate systems, but the limitations of data lakes could prove challenging. Read how.
Without addressing challenges like the need for cybersecurity protections and data quality controls, enterprises may struggle to derive full value from data lakes.
The Local-First Software movement prioritizes data control, security, and resilience, offering a compelling alternative to traditional cloud-centric models.
Automated data pipelines address or completely eliminate most of the common factors that can impact data quality.
Insights from a Cloud-Native Architectures Webinar – Find out more about why data in motion is overtaking data at rest.