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Grid Dynamics has developed a Starter Kit to help companies build a data platform more quickly. The Starter Kit, available on AWS Marketplace, provides six capabilities or use cases that can be deployed on top of AWS, including data lake, enterprise data warehouse, batch analytics, stream analytics, data governance, and AI/ML use cases. The platform enables DataOps practices and is ready to integrate with external data sources.
A new approach to software development called deployment channels is being used to address the challenges of releasing new features in large, complex applications. Deployment channels involve creating shallow clones of the production system for development and testing purposes, allowing developers to work on new features without disrupting the live system. This approach can help improve change velocity and reduce the cost of implementing new business features.
Grid Dynamics and AWS have created an Analytics Platform Starter Kit to help companies build a robust analytics platform, with capabilities for data access, governance, stream analytics, data monitoring, reporting, visualization, and AI/ML. The starter kit can be used for cloud migration, building a new platform, or upgrading an existing data lake.
In the world of data, the industry invented the term DataOps, which takes Agile and DevOps principles and applies them to data engineering, science, and analytics. Post will focus on the technology enablers that facilitate DataOps implementation.
Over the last ten years, the role of data in modern enterprise has continued to evolve at a rapid pace. Companies launched initiatives to define and execute their data strategy, appointed Chief Data Officers, and created large teams to collect, manage, and generate insights from data. With increased awareness and higher demands for data, the concept of an analytical data platform evolved as well.
This article discusses the benefits of microservices architecture and when it makes sense to use or migrate to this architecture. It highlights the importance of scalability and development longevity in determining whether microservices architecture is appropriate.
This article discusses five strategies that companies can use to reduce their cloud costs and effectively plan for cloud migration, including implementing a lightweight continuous delivery process, modernizing applications with containers and serverless computing, implementing reactive and proactive scalability, utilizing on-demand and low-priority workloads, and implementing proper cost monitoring.
One of the biggest mistakes companies make when migrating to microservices is not updating their release and change management process, resulting in slow speed to market and high infrastructure costs. To fix this, companies should involve all relevant teams, implement proper testing procedures, and shift testing left to individual services.
The article discusses how Grid Dynamics has helped fortune 500 clients update their data platforms by automating data transformation pipelines, creating a centralized data catalog, and improving overall data quality through automated detection and prevention of data corruption.
Unified commerce, a true omnichannel shopping experience, can create competitive advantages for brick-and-mortar retailers over digital native retailers. By combining online and brick-and-mortar channels, retailers can leverage each channel’s unique benefits and provide a seamless and personalized customer experience.
