Redesigning Enterprise Analytics Teams
Organizations need leaner and agile structure to focus on the business outcome. Following are the key roles that should be part of the analytics organization which is focused solely on delivering business value
Organizations need leaner and agile structure to focus on the business outcome. Following are the key roles that should be part of the analytics organization which is focused solely on delivering business value
There are some gaps in data management and maintenance space in Azure. Following are the two things that I feel are missing from the current landscape of Azure and will hopefully be addressed soon
Imagine a scenario where we can maintain an immutable persistent stream of data and instead of processing the data twice, we can use the stream to replay the data for a different time using the code. That is the premise of Kappa architecture
Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch and stream-processing methods. This approach of architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
This article includes the kind of tools and methods that go along with maturity steps. I also want to introduce the concept of Chasm. Its essentially a bump or a gap in the journey of analytics maturity which takes a little more than usual effort to cross.