Right

AWS Data Lake Formation

Submitted by kavitha.murugesan on

We at Aspire have built variety of Data lakes in AWS S3 for many Customers. Lake formation is the concept of meta data layer and data governance on top of data lakes. We have collaborated with some leading conglomerates across a wide variety of business sectors and successfully created data lake formations that have met their business needs and requirements.

Business Benefits

Modernization of Legacy ETL packages and DWH

Submitted by kavitha.murugesan on

Aspire has successfully modernized various ETL packages across multiple clouds, including the Azure cloud. Modernizing ETL processes can be a cost-effective solution for companies looking to streamline their IT infrastructure. It enables businesses to revamp their business processes and integrate data from enterprise applications with external systems such as merchants and channels in real-time, making the process more intuitive and seamless to use.

Ingestion of Unstructured data from social media and public sites

Submitted by kavitha.murugesan on

Our cloud-based business intelligence (BI) service offers an efficient solution for businesses that want to extract valuable insights from unstructured data sources, such as social media and public websites. Our cutting-edge data ingestion capabilities make it simple to collect, integrate, and analyze large amounts of unstructured data, enabling you to gain a deeper understanding of customer behavior, brand sentiment, and industry trends. Our service supports a wide variety of social media platforms and public sites, including Twitter, Facebook, LinkedIn, news sites, blogs, and more.

Integration of Streaming Data from IOT and Mobile

Submitted by kavitha.murugesan on

At Aspire, we have best practices to Integrate streaming data from IOT and Mobile devices. Apache Kafka is a publish-subscribe based durable messaging system. Kafka is a distributed system consisting of servers and clients that communicate via a high-performance TCP network protocol. A Kafka cluster consists of one or more servers (Kafka brokers) running Kafka. Producers are processes that push records into Kafka topics within the broker. A consumer pulls records off a Kafka topic. Management of the brokers in the cluster is performed by Zookeeper.

Crafting design that is thoughtful and human-centered

Submitted by kavitha.murugesan on

Innovate the retail life cycle with real-time visibility and simplified workflows. Leverage next-generation technology and extensions, an unlimited ability to customize, optimized conversion rates across channels, and seamless third-party integrations. With end-to-end sleek, scalable, and intuitive design tailored to your specific needs, get a head-start for your business online.

Subscribe to Right