We’re here to scale your Azure transformation, regardless of scope. From filling skills gaps to deploying new capabilities or end-to-end solutions- proSkale is your extended Solutions Center.
Why should you choose proSkale?
Why should you choose Azure?
A Modern Data Platform on Azure provides one single view of enterprise data by providing centralized storage in a Data Lake, powered by capable automation tools. The Modern Data Platform uses Gamma architecture to support both batch and stream processing and consumptions. The Azure Cosmos DB provides capability for storing NoSQL data for consumption by APIs in real time.
- Lower operational cost and nearly zero fixed cost
- Elasticity and scalability
- Enhanced security – built-in security features and specialized Azure cloud security tools to help ensure that an organization’s resources are protected. Security patching is done automatically by Azure in many cases
- Compliance – Azure cloud platforms have specialized offerings to seamlessly meet compliance requirements, which is ideal for highly regulated industries like finance, healthcare, and government
- Robust business continuity – Azure has built-in, one-click backup and recovery capability
- Centralized management and monitoring
- Better utilization of IT staff
From narrow automation solutions for migrations, and cost monitoring to delivering an entire Modern Data Platform in Azure, see how we can partner for immediate ROI.
A Modern Data Platform
- Is a single, powerful, and extensible data platform
- Can handle a broad array of data types
- Can support new types of analytics
- Provides automated and robust data pipelines and ETL processes
- Has the ability to provide secured access of data to a variety of users – analysts, data engineers and data scientists
- Provides an easy-to-use environment for developing data applications including several options for self-service
- Guarantees scale, performance, and concurrency and is cheap; and
- Requires minimal maintenance, so that users can focus on delivering business objectives rather than getting entangled in day-to-day operational activities.
What is unique about proSkale’s approach?
- proSkale has experience with migrating on-prem systems to Azure cloud and has an extremely well-documented step-by-step process for capturing on-prem system details, customized design and construction and phased migration and implementation and post-migration support. proSkale has developed a set of customizable scripts for setting up Azure Modern Data Lake infrastructure which can create the environments in hours rather than days and weeks.
- proSkale has built automation tools that can reduce the cost of migration by up to 50%.
- To minimize application downtime during migrations, proSkale uses Blue Green Deployment and a phased approach for migrating from on-prem to Azure Cloud.
- proSkale has also developed an application for gathering metrics for cost utilization and alerting if the usage exceeds a pre-defined threshold.
How is the ROI determined? What factors are needed to make a Business Case? How can proSkale help to get a project started?
- After thorough analysis of the existing on-prem applications, proSkale’s engineers design a serverless system that includes cost and cycle time. These metrics are used to determine ROI. proSkale’s solution generally saves 40% to 50% over on-prem cost.
- proSkale can do a POC to show cost and time savings. Based on the result of the POC, the customer can decide whether to move forward with proSkale’s solution.
What are the challenges & opportunities that a Modern Data Platform on Azure Cloud can address?
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Requires extensive planning – Migration effort requires a complete understanding of existing on-prem applications, processes, dependencies and challenges. Target system is designed to fulfill business needs and develop execution plan – loft and shift or partial/complete re-architecture.
- High cost of migration effort – creation of target system on Azure, migrating existing processes, and ensuring that the new system is completely compatible with the existing system requires extensive manual effort.
- Application Downtime
- Security and Compliance – Cloud providers provide a variety of services for securing the environment and compliance. If the right services are not chosen, there may be security lapses and compliance issues, or too much security may adversely impact application availability.
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Lack of skilled resources – it is important that individuals and organizations working on the migration effort have a complete understanding of the cloud services and their capabilities, limitations and dependencies. ProSkale’s cloud engineers can fill the skill gap, and proSkale can also train the client’s staff and quickly bring them up to speed.
What is unique about proSkale’s approach?
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ProSkale has experience with migrating on-prem systems to Azure cloud and has an extremely well-documented step-by-step process for capturing on-prem system details, customized design and construction and phased migration and implementation and post-migration support. ProSkale has developed a set of customizable scripts for setting up Azure Modern Data Lake infrastructure which can create the environments in hours rather than days and weeks.
- ProSkale has built automation tools that can reduce the cost of migration by up to 50%.
- To minimize application downtime during migrations, proSkale uses Blue Green Deployment and a phased approach for migrating from on-prem to Azure Cloud. (ref: What is blue green deployment? (redhat.com)).
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ProSkale has also developed an application for gathering metrics for cost utilization and alerting if the usage exceeds a pre-defined threshold.
Technology Stack
ProSkale’s Data Migration Tool – proSkale has developed its own fully automated event-drive data migration process that can extract and load data from all popular relational databases, Teradata, Oracle, SQL Server etc., to AWS S3, Redshift, relational databases and Snowflake.
Azure Data Factory is a fully managed, serverless data integration service that is used for ingesting both structured and unstructured data into Azure Data Lake.
Azure Event Hub parses and scores streaming messages from various sources, including on-premises systems, and provides real-time information.
Azure Data Lake Store is a massively scalable, secure data lake functionality built on Azure Blob Storage
Azure Delta Lake brings together streaming and batch data, including structured, unstructured, and semi-structured data like logs, files, and media.
Databricks on Azure uses Spark to clean and transform the structureless data sets and combines them with structured data from operational databases or data warehouses
Azure Cosmos DB is a fully managed NoSQL database for modern app development. It provides single-digit millisecond response times, and automatic and instant scalability, guaranteeing speed at any scale.
Azure Synapse Analytics is the fast, flexible, and trusted cloud data warehouse that scales, computes, and stores elastically and independently, with a massively parallel processing architecture.
Azure Stream Analytics is a real-time analytics and complex event-processing engine that is designed to analyze and process high volumes of fast streaming data from multiple sources simultaneously.
Azure Analytics Services is a fully managed, fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure
Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle.
