January 5, 2024 - C2S Technologies

Efficient Financial Risk Analysis with Redis Enterprise

Organizations must leverage on their ever increasing data piles to help employees and management to make informed decisions and grow business. Going forward, companies will face existential crisis if they do not put their data to work by modernizing their legacy systems and technologies. Building a data strategy to modernize legacy technologies is a sure way for successful implementation of data modernization projects. Data strategy must be looked as a long-term plan rather than a short term fix and it must include provisions that detail the roles of people, technologies and processes to solve data-related issues and challenges. Same case applies to business IT systems and applications. Organizations spend huge money in setting up their IT systems. Nevertheless, there comes a time when every business enterprise must upgrade to newer versions or replace their legacy systems with more agile cloud technologies.

Written by

C2S Technologies Inc

Published on

Dec 06, 2023

Effective financial risk management is paramount in the world of capital market asset trading, which involves substantial investments in diverse asset classes, commodities, options, futures, and more. In this context, one prominent financial services organization embarked on a mission to conduct daily risk assessments to mitigate risks for themselves and their clients. Regular risk calculations are essential as they provide insights into whether additional liquidity is needed to cover potential risks.

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Scaling Applications Seamlessly With Redis Enterprise’s Active- Geo Distribution

Organizations must leverage on their ever increasing data piles to help employees and management to make informed decisions and grow business. Going forward, companies will face existential crisis if they do not put their data to work by modernizing their legacy systems and technologies. Building a data strategy to modernize legacy technologies is a sure way for successful implementation of data modernization projects. Data strategy must be looked as a long-term plan rather than a short term fix and it must include provisions that detail the roles of people, technologies and processes to solve data-related issues and challenges. Same case applies to business IT systems and applications. Organizations spend huge money in setting up their IT systems. Nevertheless, there comes a time when every business enterprise must upgrade to newer versions or replace their legacy systems with more agile cloud technologies.

Written by

C2S Technologies Inc

Published on

Nov 02, 2023

Enterprise's horizontal scaling approach techniques include Read Replicas, Sharding, and Active-Active replication, optimizing both read and write performance. This technology mitigates challenges like write conflicts, ensuring data consistency. Its crown jewel, the Active-Active Geo-Distribution, takes it further by geographically positioning master database instances, reducing latency, and enhancing reliability. Redis Enterprise offers a comprehensive solution for data-intensive applications, elevating performance, scalability, and data integrity, making it a top choice in today's dynamic business environment.

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Data Caching Strategies with Redis Enterprise

Organizations must leverage on their ever increasing data piles to help employees and management to make informed decisions and grow business. Going forward, companies will face existential crisis if they do not put their data to work by modernizing their legacy systems and technologies. Building a data strategy to modernize legacy technologies is a sure way for successful implementation of data modernization projects. Data strategy must be looked as a long-term plan rather than a short term fix and it must include provisions that detail the roles of people, technologies and processes to solve data-related issues and challenges. Same case applies to business IT systems and applications. Organizations spend huge money in setting up their IT systems. Nevertheless, there comes a time when every business enterprise must upgrade to newer versions or replace their legacy systems with more agile cloud technologies.

Written by

C2S Technologies Inc

Published on

Oct 26, 2023

Redis Enterprise offers businesses the flexibility to optimize data caching strategies, ensuring responsiveness, cost-effectiveness, and data integrity in various real-world scenarios. With a range of caching patterns tailored to specific needs, Redis Enterprise empowers businesses to enhance application performance and user experience. Cache-aside is ideal for read-heavy workloads, such as e-commerce, while Query Caching speeds up SQL queries. Write-behind Caching handles write-heavy workloads, ensuring real-time transaction processing and secure storage. Write-through Caching is vital for data consistency, especially in critical scenarios. Cache prefetching efficiently manages read and write-heavy workloads, making Redis Enterprise a versatile choice for various use cases.

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Refactoring a Pivotal Step-in Cloud Migration

Organizations must leverage on their ever increasing data piles to help employees and management to make informed decisions and grow business. Going forward, companies will face existential crisis if they do not put their data to work by modernizing their legacy systems and technologies. Building a data strategy to modernize legacy technologies is a sure way for successful implementation of data modernization projects. Data strategy must be looked as a long-term plan rather than a short term fix and it must include provisions that detail the roles of people, technologies and processes to solve data-related issues and challenges. Same case applies to business IT systems and applications. Organizations spend huge money in setting up their IT systems. Nevertheless, there comes a time when every business enterprise must upgrade to newer versions or replace their legacy systems with more agile cloud technologies.

Written by

C2S Technologies Inc

Published on

Oct 04, 2023

Refactoring in Infrastructure Modernization

In today's rapidly evolving technological landscape, businesses are increasingly recognizing the critical importance of infrastructure modernization to stay competitive and agile. With the rapid growth of cloud computing, organizations are looking to migrate their legacy systems to the cloud to capitalize on its numerous benefits. One crucial aspect of this migration process is refactoring, which involves restructuring and optimizing existing applications to make them more suitable for cloud deployment. This article explores the nuances of refactoring and its impact on successful infrastructure migration to cloud.

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6 Ways to Attract and Retain Data Talent

Organizations must leverage on their ever increasing data piles to help employees and management to make informed decisions and grow business. Going forward, companies will face existential crisis if they do not put their data to work by modernizing their legacy systems and technologies. Building a data strategy to modernize legacy technologies is a sure way for successful implementation of data modernization projects. Data strategy must be looked as a long-term plan rather than a short term fix and it must include provisions that detail the roles of people, technologies and processes to solve data-related issues and challenges. Same case applies to business IT systems and applications. Organizations spend huge money in setting up their IT systems. Nevertheless, there comes a time when every business enterprise must upgrade to newer versions or replace their legacy systems with more agile cloud technologies.

Written by

Jagadeesh Napa

Published on

Oct 04, 2023

Attracting and Retaining Data Talent

It has now become a well-known fact among the recruiting circles that hiring and retaining data talent – data engineers, data scientists and data architects to be more specific – has become more difficult than ever. On one hand, the need for quality data talent among the global companies is on the rise, while on the other hand, scarcity on the supply side is making things worse for recruiters. This article explores ways to attract and retain data talent.

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Seamless Shopping with Redis-Powered Cart Integration

Organizations must leverage on their ever increasing data piles to help employees and management to make informed decisions and grow business. Going forward, companies will face existential crisis if they do not put their data to work by modernizing their legacy systems and technologies. Building a data strategy to modernize legacy technologies is a sure way for successful implementation of data modernization projects. Data strategy must be looked as a long-term plan rather than a short term fix and it must include provisions that detail the roles of people, technologies and processes to solve data-related issues and challenges. Same case applies to business IT systems and applications. Organizations spend huge money in setting up their IT systems. Nevertheless, there comes a time when every business enterprise must upgrade to newer versions or replace their legacy systems with more agile cloud technologies.

Written by

Jagadeesh Napa

Published on

Oct 04, 2023

Seamless Shopping with Redis-Powered Cart Integration

Creating a seamless shopping experience in retail is the key to not just attracting customers but also retaining them. With technology reshaping the retail landscape, retailers are continuously seeking innovative solutions that streamline processes and amplify customer satisfaction. Redis – the most popular in-memory data platform, has emerged as a game-changer in this domain. Redis helps retailers to create seamless shopping experiences in multiple ways. One such tremendously successful instance is the integration of shopping cart apps with Redis Enterprise, a premium service that takes the retail experience of end customers to new heights.

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8 Ways Data Management Is Impacted By Digitization 3.0

Organizations must leverage on their ever increasing data piles to help employees and management to make informed decisions and grow business. Going forward, companies will face existential crisis if they do not put their data to work by modernizing their legacy systems and technologies. Building a data strategy to modernize legacy technologies is a sure way for successful implementation of data modernization projects. Data strategy must be looked as a long-term plan rather than a short term fix and it must include provisions that detail the roles of people, technologies and processes to solve data-related issues and challenges. Same case applies to business IT systems and applications. Organizations spend huge money in setting up their IT systems. Nevertheless, there comes a time when every business enterprise must upgrade to newer versions or replace their legacy systems with more agile cloud technologies.

Written by

C2S Technologies Inc

Published on

Oct 04, 2023

Data Management in Data Modernization

The rise of cloud computing and the increasing use of big data analytics is creating a growing awareness on the importance of data management and the need to improve it. At the same time, many businesses that have implemented data modernization projects, still face multiple challenges in managing their data effectively. This article explores how Digitization 3.0 is impacting data management and how data managers should pivot their strategies for better data management.

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Efficient Financial Risk Analysis with Redis Enterprise

Written by

C2S Technologies Inc

Published on

Dec 06, 2023

Access Full Article

Scaling Applications Seamlessly With Redis Enterprise’s Active- Geo Distribution

Written by

C2S Technologies Inc

Published on

Nov 02, 2023

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Data Caching Strategies with Redis Enterprise

Written by

C2S Technologies Inc

Published on

Oct 26, 2023

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Refactoring a Pivotal Step-in Cloud Migration

Written by

C2S Technologies Inc

Published on

Oct 04, 2023

Refactoring in Infrastructure Modernization

Access Full Article

6 Ways to Attract and Retain Data Talent

Written by

Jagadeesh Napa

Published on

Oct 04, 2023

Attracting and Retaining Data Talent

Access Full Article

Seamless Shopping with Redis-Powered Cart Integration

Written by

Jagadeesh Napa

Published on

Oct 04, 2023

Seamless Shopping with Redis-Powered Cart Integration

Access Full Article

8 Ways Data Management Is Impacted By Digitization 3.0

Written by

C2S Technologies Inc

Published on

Oct 04, 2023

Data Management in Data Modernization

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