Why Lifecycle Data Management is Critical to Get the Most Out of Streaming Edge Data
Making the most of streaming edge data requires a special infrastructure architecture that accommodates the data throughout its lifecycle.
Topic: Big data architectures
The Four Trends Driving Efficiencies and Business Change in 2023
When addressing business change and disruption, these four trends can transform how organizations operate, communicate, and make crucial business
Apache Kafka and RabbitMQ: Which Open Source Platform Will Fit My Needs?
By understanding the particular strengths of RabbitMQ and Apache Kafka, you can ensure that you’re using the right message queue platform for your use
Tapping into the Potential of Data Products in 2023
A data mesh architecture treats data-as-a-product as the new way to empower each stakeholder or domain to unravel insights from data.
Booming Data Volumes and Velocities Require Vectorized Databases for Real-Time Analytics
Companies using vectorized databases can derive actionable insights from their data streams in a time frame to take immediate actions as events occur.
Green Open Banking: How APIs Could Help Mitigate Our Impact on the Climate
With open banking, each data element can be exposed as an API. The process is infinitely more efficient than other data access and sharing methods and has a …
The Growing Importance of Real Time in Retail
Tinybird’s Alejandro (Alex) Martín Valledor talks about the challenges of building real-time products, technologies that can help, and the benefits …
Top Challenges of Using Real-Time Data
Given the unique challenges of working with real-time data, organizations need to consider which tools will help them deploy and manage AI and ML models in the …
Maximizing the Value of Your Data Lake
Organizations are adopting modern data management approaches, such as semantic-based knowledge graphs, to connect data across the enterprise and accelerate the …
The 4th Shift in the Evolution of Finding Insights from Data
Real-time analytic databases that combine CRUD with streams for high concurrency and sub-second response times across billions of data points are needed for …