Cloud First Strategy![]()
Embrace the cloud possibilities for your analytical requirements.
Organizations around the world are rapidly moving to the cloud
And for a good reason – cloud lets you store, analyse, and share data in ways that were, up until a few years ago almost unthinkable. It reinvigorated the data world and opened new horizons in the field.
You might think about it too if:
- You’re overspending on hardware and software license fees for on-premise solutions and databases
- You are finding it difficult to make use of your unstructured and semi-structured data or how to tap into big data analytics and real-time business operations
- Your current infrastructure is at maximum capacity and cannot be scaled up any more or only at a very high cost
- Your queries and report processing are taking ages, which is far too long to meet business requirements
- Your on-premises infrastructure requires heavy-duty maintenance and performance tuning activities
Architecture in the cloud era
Currently, there are more than 100+ providers of business intelligence solutions, more than 50 providers of database platforms in the cloud, more than 100 data integration providers, more than 30 different AI platforms and the world is embracing open source solutions that are managed by solution providers for you. To make things even more complicated, the big three of the public cloud (AWS, Microsoft, and Google) are building a whole stack on their platforms.
What is the best cloud strategy for our company, what is best for our use case? Should I have everything from one technology vendor, how can I become more resilient and have a multi-cloud strategy, is the cloud safe for analytics, how can we tackle the GDPR requirements, how can we embrace the new DevOps capabilities in the analytics area?
Our clients ask us these questions on a daily basis and the answer is always: “It depends”. This is why we have built our expertise around multiple technology providers so we can openly discuss what is, from our view, the best architecture for either the given problem or the next 3-5 years of data cloud strategy in terms of services and capabilities.
The cloud’s big challenge: Migration of on-premise data
Migrating your existing data system from on-premises technology to a cloud environment can be a very risky, challenging, time-consuming and complex process because you may need to rewrite the code for the ETL processes, reformat the data to fit the target and optimize it for the new platform.
Skip all of this. We can help you to significantly shorten the time-to-cloud as we have heavily invested in tools supporting data warehouse migrations from various on-premise databases – Microsoft SQL Server, Oracle Exadata, IBM Netezza, etc.
If you don’t need a full data warehouse modernization or would like to taste the advantages of the cloud sooner, we have a solution for that too.
An example of fast forward to cloud with Lift’n’shift
With antFarm, our go-to data movement solution, you can quickly reap the benefits of the cloud. Let’s say you have a complex dashboard or are experiencing a slow performance reporting issue. No doubt you’d execute that faster on a cloud. In cases like this, you can simply use antFarm to replicate relevant data from the legacy data mart to the cloud and point the BI tool to the new database. All of this in order to reduce on-premises infrastructure costs and enjoy a compelling performance of complex analytical queries. Another useful case is when you need to analyse data near real-time without any negative performance influences on the transactional application. Those are the right kind of challenges for the ‘working ants’ that will diligently and quickly replicate data from operational systems to the cloud.
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