Cloud Strategies & Costs
Cloud Strategies & Costs
Big Data comes out of IoT devices, medical records, web sites’ visits and marketing campaigns. To extract good ROI and accurate predictive information from such huge amount of data, there exists several techniques that do need big computing power. The bigger the computing power the more real time can analysis and predictions be. ……
... but computing power for Big Data processing and Predictive Analytics is not cheap
Public clouds are becoming more and more successful because they allow companies to lower the required computing costs of Big Data processing by sharing hardware resources among several cloud customers. Big computing power is only needed when doing Big Data preparation and processing inside Machine Learning models. Before and after the processing, hardware resources become idle. Cloud Strategies & Costs
Not paying for these big resources while idle, because of sharing them with other cloud users, is a clever way to lower costs
On the other hand, the downside of public clouds include: Cloud Strategies & Costs
- GDPR compliance in the cloud is not easy after US and European legislation conflict
- Sensitive and confidential information must remain under control
- Public cloud security is complex to implement
- Public cloud resources are technologically demanding
- Which resource to use to do each data processing step is not an easy decission
In this scenario, how can we help?
Our consultancy will help your company, both in your Big Data processing and your Move To Cloud projects, in all or any of the following ways:
Project Management
- Manage the project since the beginning or from a standpoint (after assesment)
- Select the right team, all or part of it, for your project (Business Analyst, Solution Architect, Data Architect, Data Engineers, DevOps Engineers, MLOps Engineers, UX/UI Engineers, QT Engineers, etcetera.)
- Set up the public cloud platform for you (security, compute, storage, database, machine learning tools, connectivity, etcetera)
- Help you integrate the project with DevOps and CI/CD
- Scrum Master tasks to enhance the performance of the Agile team
- Coach and guide the team to implement the project in due time
- Take care of the cloud project maintenance (L1, L2, L3)
Strategy
- Does your company need the public cloud resources?
- If so, which public cloud is of your best interest and what resources there do you need?
- Is it worthwhile to ingest and store data in the public clouds? What costs apply? Do you want to process sensitive data?
- Do you have customers in different world regions?
Architecture
- According to your needs and financial capabilities, we help you to define a realistic target according to the public clouds available resources
- Following the selected target, we help you in creating a sustainable and resilient Architecture
- The design will be done in a way that will allow it to be implemented in a project that will use the Agile methodology
- We can design the Architectural project from beggining to end or partially
Predictive Analytics
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- Do you have enough data to obtain good predictions?
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- Do you want to create or refine the data to do good predictions?
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- Do you need daily Predictive Analytics?
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- Do you need periodical one-shot predictions?
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- Do you have the money to create your own Predictive Analytics processing environment be it in the cloud or onsite?
- Could it be possible that you are interested in Exabai doing all or part of these tasks?
Big Data
- What do we refer to with this terminology?
- What types of Big Data do exist?
- What kind of resources are needed to process Big Data?
- How is Big Data processed?
- Where to do the processing of each step in the Big Data analysis chain, according to your data and ressources?
- What outcome can you expect from the Big Data you own?
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