DoiT International delivers an integrated suite of services that provide everything needed to quickly and easily build and manage a data lake for analytics on Amazon AWS.
The AWS provides many of the building blocks required to help Voyager Labs implement a secure, flexible, and cost-effective data collection, storage and analytics platform.
By implementing this project on AWS, we have saved about 15% of the digital media cost which is equivalent to $700,000 of additional profit contribution per annum.
Vadim Solovey – General Manager
When Vadim isn’t stuck in the Cloud, he’s traveling the world and racking up AWS and Google certifications. He’s obsessed with making complex stuff easy. That might be why he’s so great at global travel.
Our clients say.
Eli Bukchin, Co-founder and CTO
"Agriculture is a seasonal business, so we have certain months of peak activity followed by quiet months, and we also have peaks throughout the day. During quiet times, we can scale back all our high-level Compute Engine GPU resources automatically so we don't have to prepare our system in advance."
Big Data on AWS Services
Given the dominance of the free to play model and in-app purchases offered in the gaming industry, games have become more of a service than a product. In-game analytics is critical to engage and monetize users.
Almost everyone uses streaming data to gain real-time insight into customer activity and immediate business trends. Streaming data, which is generated continuously from thousands of data sources.
We will help you to design and build AWS-powered data lakes that can handle the scale, agility, and flexibility required to combine different types of data and analytics approaches to gain deeper insights.
We can help you to choose from pre-trained AI services for computer vision, language, recommendations, and forecasting; Amazon SageMaker to quickly build, train and deploy machine learning models at scale.
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Looking for Big Data on AWS partner? We've got you covered.
Our team of experts can take care of your big data on AWS cloud, for much less than the cost of hiring that talent in-house.