Tag: AWS Competency Partners
With the ever-growing need for enterprise data to migrate to the cloud, and the necessity of keeping that data secure, organizations are searching for tools that enable migration while meeting regulatory requirements for data security and privacy. To meet these needs for customers, Protegrity has introduced new solutions leveraging Amazon S3, and these Cloud Protect for S3 products enable you to secure your sensitive data in S3 with Protegrity technology such as tokenization.
As companies adopt a cloud-first strategy, ITOps and DevOps require a single view of application services and infrastructure so they can be equipped with the right observability solution. Observability lets you determine what’s important by watching how the system performs over time, and ask new questions using metrics, logs, or traces. Tech Mahindra’s smart monitoring and resolution tool is called SMART and is built on top of AWS observability and telemetry tools.
Doqulogic is built by Tata Consultancy Services (TCS) to address challenges faced by companies who spend large amounts of time and resources in the manual processing of documents. Learn how Doqulogic eliminates the processing overhead, reduces the time taken to process documents, and tailors multiple AWS services together to make processes like purchase order processing simpler for customers by integrating through emails and backend ERP solutions like SAP S/4HANA.
Many IBM Db2 customers are exploring modernizing their databases by moving them into a containerized environment such as Red Hat OpenShift, Amazon EKS, or IBM’s Cloud Pak for Data. Getting to the end goal of containerizing your database takes a lot of time and effort. To streamline this process, IBM has developed a new utility called Db2 Click to Containerize (also known as Db2 Shift) to help customers move their databases quickly and easily from an on-premises Db2.
Building a Serverless Trigger-Based Data Movement Pipeline Using Apache NiFi, DataFlow Functions, and AWS Lambda
Organizations have a wide range of data processing use cases, collecting data from variety of sources, transforming it and loading it to different destinations to fulfill diverse business needs. Learn how DataFlow Functions, combined with the serverless compute services provided by AWS Lambda, enables developers to implement a wide spectrum of use cases using the low-code NiFi flow designer user interface, and deploy the flows as short-lived serverless functions.
Learn how equipment operators can build a predictive maintenance solution using AutoML and no-code tools powered by AWS. This type of solution delivers significant gains to large-scale industrial systems and mission-critical applications where the costs associated with machine failure or unplanned downtime can be high. The design of this solution is based on the experience of Grid Dynamics with manufacturing clients.
The AWS Cloud Development Kit (AWS CDK) is a framework that provides an automated and repeatable way of handling cloud infrastructure. Learn how to use the AWS CDK to build an AWS Lambda function in Java that connects to Neo4j. The framework described here can be used to build dynamic serverless applications where the frontend scales based on system demand. This makes it possible to easily get value from your connected graph data in front end applications.
Small and mid-sized utilities have challenges within their vertical stack to commercialize and operate energy products such as power and gas. An efficient utility billing system allows providers to track and monitor the utility services they offer, manage billing processes, collect data, and engage well with customers. Learn how AWS and Accenture collaborated to build a vertical solution called Uptility for utilities in regulated markets, and how Uptility provides needed capabilities at low cost.
With its event-driven nature, AWS Lambda provides seamless integration with modern-day platforms like Confluent Cloud. Explore best practices to set up network access paths for Lambda when integrating with Confluent Cloud, and review details about various resources like connectors, Kafka endpoints, and private links, as well as ways to establish connectivity between them and Lambda. Founded by the creators of Apache Kafka, Confluent enables organizations to harness business value from stream data.
How Cognizant Interactive Data Visualization Platform Helps with Data Integration, Interaction, and Insights
Interactive Data Visualization Platform is a low-code platform built on AWS which provides an environment for developing business applications and automated workflows with minimal code. It can integrate, transform, visualize, and analyze data from a variety of sources. It can also generate insights, resolve anomalies, and proactively identify issues and bottlenecks. The platform is built with API and security-first design principles across layers. Each component runs independently and has the flexibility to be customized.