To formulate the correct business decisions, business requires high-quality data that is integrated in a variety of formats from different sources. Two of the main categories of data are analytical and operational. In this post weโll explore what each of these types of data are, how they are used, [...]
In todayโs digital landscape, enterprises face constant pressure to rapidly and cost-effectively launch new digital services that meet high user demands and manage complex data workflows.ย Achieving these goals requires addressing two critical challenges:ย Design-time efficiency: the ability to develop and deploy services quicklyย Runtime performance: ensuring that those [...]
In real-time data environments, ensuring data freshness โ minimizing the time between backend data updates and when applications reflect these changes โ is essential. Here are three key approaches to achieving and maintaining data freshness, each addressing different aspects of data ingestion, storage, and access to meet the demands [...]
The world of trading moves faster than ever, with millions of transactions occurring in fractions of a second. The entry of retail investors has added volatility to the markets, placing enormous demands on trading platforms to deliver real-time data access, process vast quantities of transactions, and provide uninterrupted service. [...]
Is Digital Transformation still relevant? Yes, according to a recent McKinsey report, โ89 percent of large companies globally have a digital and AI transformation journey underway, but theyโve captured only 31 percent of expected revenue lift and 25 percent of expected cost savings.โ Companies are spending a lot on digital [...]
Effective enterprise data architecture transformations play a crucial role for organizations by addressing the complexities of modern data management. Organizations can unlock new insights, streamline operations, and gain a competitive edge by effectively redesigning their data infrastructure. This post explores three compelling use cases where successful enterprise data architecture [...]
Contents Understanding the Challenges Exploring Alternatives for Multi-Cluster Data Sharing Centralized Database Approach Global Data Distribution with Geo-Replication Federated Clusters with Service Mesh Data Sharding with Cluster Affinity GigaSpaces approach as a backbone shared data bus Implementation of Cross-Cluster Replication Conclusion In today's rapidly evolving technological landscape, Kubernetes has become [...]
GigaSpaces recognized as a Sample Vendor for the Digital Integration Hub category in the Gartnerยฎ Hype Cycleโข for for Revenue and Sales Technology, 2024, Hype Cycle for Banking Product and Service Innovation, 2024 and Hype Cycle for Application Architecture and Integration, 2024 The reliance of digital apps on real-time [...]
Contents Challenges in Achieving Data Resiliency Achieving Data Resiliency with an Operational Data Hub Platform Implementation for Redundancy Advanced Replication Patterns with a WAN Gateway Benefits of data locality in multi-region and multi-cloud scenarios Benefits and ROI Summary In todayโs digital landscape where data is the cornerstone of business [...]
Continuing our discussion of In-Memory Computing (see Part 1 and Part 2), weโll look at the innovations that in-memory computing promotes. First, a quick recap: In-Memory Computing (IMC) provides exceedingly-fast performance, and scales to process massive quantities of data. This is based on two technologies that in tandem, achieve [...]
In-Memory Computing (IMC) provides exceedingly-fast performance and scales to process massive quantities of data; for more info about IMC refer to part 1 and part 3 of this series. Since RAM-stored data is available instantaneously while data stored on disks is limited by network and disk speeds, IMC can [...]
To address the growing demand for real-time data processing, In-Memory Data Grid (IMDG) technologies emerge as essential solutions that ensure exceptionally high data processing speed and application responsiveness. IMDGs also establish high data availability by storing data in memory, and by using parallelized distributed processing. This technology overcomes the [...]
In January 2013, the finale of American Idol season 12 took place in Los Angeles, California. For that episode, the production recruited the soul queen Aretha Franklin, to perform a medley of her songs with the five top finalists as her backup singers. Unfortunately, Ms. Franklin was not a [...]
Businesses today rely on instant insights and swift data-driven decisions to stay competitive. However, achieving high performance, low latency, and high concurrency with traditional managed services, such as Database-as-a-Service (DBaaS) or external compute frameworks, can be challenging. In this post, weโll discuss these issues, and explore a robust in-memory [...]
In the realm of speeding up data access, choosing the right in-memory data repository is crucial for optimal application performance, change management and platform flexibility. Among the various options available, Redis, as a representation of advanced caching solution, and GigaSpaces XAP Skyline, a top notch In-Memory-Data-Grid (IMDG), are viable [...]
You can unsubscribe from these communications at any time. For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy.
You can unsubscribe from these communications at any time. For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy.
