💡 A comprehensive roadmap to data infrastructure: bvp.com/atlas/roadmap-…
#DataInfrastructure #Roadmap #DataScience
#DataInfrastructure #Roadmap #DataScience
1. Growth in adoption of cloud software: As companies in all industries and sizes adopt various cloud-based software to run their businesses, they have had to deal with data sprawl across a number of different sources and systems.
2. Increase in the volume of accessible data: Movement to the cloud and the growth of software users around the world has also generated more data at an exponential rate.
3. Data becomes a differentiator: If software has been eating the world, data is the fuel for the machine. Airbnb, Netflix, and other large companies have invested heavily in their data stacks to serve not only personalized content but also to help with dynamic and automated
4. Demand for talent and sophistication in leveraging data: As companies shift from on-premise to cloud-based architectures, we’re witnessing the rapid maturation of roles like data scientists, data engineers, and machine learning engineers.
Our theses on the data ecosystem:
1. Data scientists are driving decisions
2. Abstracting complexity away from data engineering
3. Data governance, monitoring and observability
4. The next wave of BI & data analytics software
1. Data scientists are driving decisions
2. Abstracting complexity away from data engineering
3. Data governance, monitoring and observability
4. The next wave of BI & data analytics software
Our guiding principles on how we will invest
1. Ecosystem partnerships & integrations
2. Community leadership
3. Removes friction in the daily workflow
4. Easing interaction/collaboration between roles
1. Ecosystem partnerships & integrations
2. Community leadership
3. Removes friction in the daily workflow
4. Easing interaction/collaboration between roles
• • •
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