Relus Cloud & Big Data on AWS
Organizations create a variety of data at different volumes and velocities. The data can reach unprecedented levels, making it challenging to decipher relevant information. Relus can help you tackle the challenges associated with huge data sets, structured and unstructured data and real-time responses.
Relus Cloud’s Big Data Practice provides the expertise, tools and insight you need to create customer-centric, data-driven strategies that can transform your business and create new avenues for growth. Leveraging the Amazon Web Services product suite, Relus Cloud gives businesses a fast way to build highly scalable, cost-effective and secure Big Data solutions. We can build turnkey solutions or help you get your existing team up to speed in a matter of weeks.
Relus Big Data Practice
PLANNING YOUR DATA VISION
FAST PROOF OF CONCEPT
Big Data Use-Cases
DATA WAREHOUSING & ANALYSIS
IoT & DEVICES
EASY MAP/REDUCE CAPABILITIES
AUTOMATE CODE DEPLOYMENT
Featured Big Data Resources
Tremendous value can be found in an organization’s data lake. This is especially true with the decreasing cost of storage during the last few years.
You no longer need a cluster of servers, or a single EC2 instance, in order to perform ad-hoc queries on your data. Instead, Athena charges only for the data that is scanned during the query process, even forgiving charges for items such as DDL statements and failed queries.
The path to digital transformation requires a skilled navigator and detailed map. What do you do once you’ve tested cloud offerings with a few workloads, learned basic navigation, and gained the attention of decision makers in your organization? It’s time to form a maturity model.
IT organizations have acquired considerable pain points in the form of technical debt. This debt is seldom paid off because the organization spends its work cycles maintaining what they currently use (through break-fix work or service tickets, for example). For this reason, organizations are rarely able to dedicate productive cycles to relieve the pain of technical debt or to enact continuous improvement.
Producing or adopting a maturity model represents the preparation deliverable in the transformation journey. Maturity models enable measurement of the transformation.
Cloud computing with Amazon Web Services offers a variety of benefits for retailers, including elasticity, pay-per-use cost savings, and avoiding the hassle of server maintenance. It may seem overwhelming to transition your retail business, but the benefits of the cloud far surpass the price of getting started.