Data and Analytics

Data and analytics play a critical role in cloud computing. With the increasing amount of data being generated and stored in the cloud, Atlas Arc is helping organizations in finding different ways to look at data, extract value from this data and use it to drive their business forward. Few ways where data and analytics provide value in Cloud Compute include: 

Data Warehousing and Storage: Cloud computing provides scalable and flexible data warehousing and storage solutions that can accommodate large amounts of data. This enables organizations to store and manage their data in the cloud, making it easily accessible for analysis.
Big Data Processing: The cloud provides the computing power and storage capacity needed to process and analyze large amounts of data, also known as big data. This enables organizations to gain insights into their data and make data-driven decisions.
Real-Time Analytics: The cloud enables real-time data processing and analytics, allowing organizations to quickly react to changing business conditions and make informed decisions.
Improved Cost Management: By selecting services from multiple cloud providers, organizations can achieve better cost management by selecting the most cost-effective services for their specific needs.
Data Privacy and Security: As organizations move their data to the cloud, they must ensure that it is protected from unauthorized access and breaches. Cloud providers must implement strong security measures, such as encryption and access controls, to secure their customers’ data.
Transform Data into Information: Atlas Arc specializes in breakdown data silos such that scattered data can be shared using modern technology and presented as information. We specialize in refactoring batch based monolithic applications to event based, streaming architectures. We design, build and test data pipelines using AWS Kinesis data streams, Kafka, Python and other tools.