Modernizing Analytics Workloads with AWS

Building a data strategy is an imperative for data driven organizations seeking to maintain their competitive position today and in the future. Modern data strategies, built AWS Analytics Services such as Amazon EMR, Amazon Managed Streaming for Apache Kafka (MSK), Amazon Kinesis, Amazon Managed Service for Apache Flink (MSF), Amazon Athena, Amazon QuickSight, Amazon Redshift, Amazon OpenSearch, and others allow organizations to benefit from cost-effective parallel processing on commodity hardware, and efficient purpose built datastores. Adopting a modern data strategy requires careful consideration of future business requirements, technology trends and your organization’s data governance needs. Enter Ness, a leader in Digital Transformation focused on streaming technologies and a modern approach to data architecture.

What Does it mean to be Data-Driven?

• Data-driven organizations treat data as an enterprise asset by connecting isolated data silos in select teams or individual departments.

• Data-driven organizations democratize data through the development of modern systems that collect, process, organize, and store valuable data, applying governance standards and making it available in line with time-to-value.

• Data-driven organizations seek enable new insights from data analyses using Machine Learning and AI models, unlocking additional value from data to improve customer experience, create operational efficiencies, drive new product innovation, and create new revenue streams.

Data Driving Value Across Industries

Ness has experience and expertise working with customers to turn data into meaningful insights in industries including:

• Financial Services: Risk and Trading Systems, Fraud Detection
• Media & Entertainment: Recommendation Engine
• Manufacturing: Fleet and Asset Management, Predictive Maintenance

Our customers use cases include:

• Real-Time Analytics

• Streaming ETL

• Big Data Processing

• IoT Data Management

• Anomaly Detection

• Log and Event Processing

What’s Next: Breaking down the modernization barriers...

Working with a trusted partner like Ness allows organizations to benefit from more than 24 years of engineering excellence. Throughout your journey to become a data-driven organization, Ness will help you tackle some of the most challenging aspects of modernization:

• Business Focus: It is becoming increasingly difficult to scale out the on-premises infrastructure to meet the growing demand for data. 90% of the world’s data has been created in the past two years.
• Technical: Due to the constraints of on-premises infrastructure or opensource solutions, businesses spend more time and money maintaining these legacy systems than focusing on innovation.

Workshop Deliverables: Our workshop will be prefaced by a 3–4 hour scoping session with key stakeholders to dive into current workload initiatives and aspirations to transition or further leverage AWS Cloud.

During the workshop we will be focused on helping clarify your analytics workload needs to help you validate a business case, design and scope a high-level architecture and total cost of ownership, identify the risks, and a plan to mitigate these during your future modernization or migration.

POC Deliverables:

POC Option 1: Data-stream processing using EMR on EKS to deliver high degree of scalability

• Define data stores
• Build EKS cluster with Infrastructure as Code (IaC)
• Deploy EMR on EKS
• Convert an existing feature to a Spark Job
• Demonstrate observability metrics/dashboards

POC Option 2: Streaming architecture on MSK, MSF, or Kinesis

• Identify use case that would benefit from parallel processing capabilities (delivering timelier results or support additional volume)
• Deploy AWS Managed Service for Kafka using IaC
• Define data schema for events
• Redeploy/Rewrite current analytics to run against Kafka events
• Demonstrate observability metrics/dashboards

POC Option 3: Customizable upon customer use case