Data and Analytics
Make your data work for you,
instead of working for your data
Cloud enables you to deploy and scale the capacity needed to process, store, and analyze Big Data workloads almost instantly with no upfront costs. And, unlike on-premises approaches, there’s no need to procure, deploy, and manage hardware.
Navigate the Complexities of Big Data
Whether you are building a new analytics platform, migrating from an on-prem commercial data warehouse to a cloud hosted open source solution, or refactoring your data architecture and pipelines to meet the changing needs of your business, Uturn provides guidance and experienced resources to help you do more with your data assets.
From designing data lakes, building data pipelines, modernizing your ETL process, and developing CI/CD pipelines to support your data engineering and data science teams Uturn’s Data and Analytics practice is designed to help you better navigate the complexities of modern data analytics, and to create innovative strategies specific to your organization.
Data & Cloud Analytics Working for You
Store data at any scale
Cloud-based analytics services are built to handle large amounts of data at scale and automate many manual and time-consuming tasks. AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. Cloud based platforms enable you to gain deeper insights than with traditional data silos and data warehouses, and can scale based on the needs of your organization.
Purpose-built for performance and cost
AWS is the fastest and most cost-effective place to store and analyze data. AWS analytics tools are purpose-built to help you quickly extract data insight using the most appropriate tool for the job, and optimized to give you the best performance, scale, and cost for your needs.
Unified data access, security, and governance
AWS provides a comprehensive set of tools that go beyond standard security functionality, like encryption and access control, to offer unified security policy management and proactive monitoring. Centrally define and manage your security, governance, and auditing policies to satisfy industry- and geography-specific regulations.
Machine Learning Integration
AWS provides built-in ML integration.You can build, train, and deploy ML models quickly with Amazon SageMaker—a fully managed service that provides tools for every step of the ML development lifecycle in one integrated environment.
Database Modernization
By modernizing your data infrastructure, organizations can get off on-premises databases and onto cloud data infrastructure. With AWS, organizations access IT resources like databases over the internet instead of buying, owning, and maintaining physical data centers and servers themselves. AWS database services take care of all management tasks such as server provisioning, patching, configuration, or backups.
Uturn Data Lab
How the Data Lab works
Uturn’s Data Lab offers accelerated, joint engineering engagements between the customer, Uturn, and AWS technical resources to create tangible deliverables that accelerate data, analytics, artificial intelligence/machine learning (AI/ML), serverless, and containers modernization initiatives. Uturn Solution Architects support you by providing prescriptive architectural guidance, sharing best practices, and removing technical roadblocks.
Throughout the process you will gain first-hand access to expert resources. Uturn solution architects, in conjunction with the AWS engineering team oversee all aspects of the engagement. You will leave with a working prototype in your AWS account that is custom fit to your needs, and a path to production, a deeper knowledge of AWS databases, Data Integration, analytics, AI/ML, serverless, and/or containers services, along with new relationships with both the Uturn and the AWS Data lab teams.
The Design Lab is a one-half to two-day engagement for customers who need a real-world architecture recommendation but are not yet ready to build. Your team will spend one-half to two days in a non-build exercise, discussing architecture pattern and anti-pattern designs for your specific use case, including best practices for building, and recommended strategies for design and delivery. Your team will leave with a document reflecting Uturn Data Lab’s recommendations for your design approach and architecture.
The Build Lab is a two-to-five-day intensive build with a technical customer team. Your team will spend the time building hands-on solutions with your data in your own AWS account. Your days will consist of building, testing, and reviewing progress. On the last day of your lab, your team will leave with a validated architecture and working prototype to use as a guide for your production deployment.
Amazon Redshift
Is your organization constrained by the rigidness, cost and complexity of your existing relational data warehouse? Are queries taking too long? Does it take weeks or longer to make changes to your data warehouse environment? Amazon Redshift solves these challenges and lets you to deliver agile business intelligence solutions to your users.
Amazon Redshift is a fast, scalable solution that makes it simple and cost-effective to analyze your critical data. It is a fully functional cloud data warehouse designed to store and analyze large volumes of data for analytical insights. Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance in a low-cost cloud data warehouse model. By using sophisticated query optimization, accelerated cache, columnar storage on high-performance local disks, and with massive parallel query execution, Amazon Redshift delivers agile business intelligence solutions at any scale.
Uturn Redshift Pilot Program
Uturn’s Amazon Redshift Pilot engagement accelerates adoption.
As an Amazon Redshift Service Delivery Partner, Uturn has demonstrated expertise to quickly and cost effectively evaluate moving your data warehouse to the cloud and execute a pilot with your specific business outcomes in mind. Our team of Cloud and Data architects collaborate with you to establish your business requirements and translate them into a technical pilot project plan. This is a fully interactive process working with the business stakeholder to map out the test and success criteria, along with the timing, data sets, and resources.
Cloud Analytics Benefits
Organizational Visibility
Higher confidence in delivery, visibility, and traceability so you can solve problems quicker
Faster Release Schedules
Increased frequency and pace of software releases enables teams to innovative and build feature rich products
Microservices & Automation
DevOps reduces release costs with automation and infrastructure costs using microservices
Accelerated Business Growth
Higher quality features and continuous feedback create immediate returns to your business
On-Demand Scalability
Operate and manage your infrastructure and development processes at scale and on-demand
Customer Satisfaction
Respond more quickly to feedback and increase customer satisfaction