Contents 1. Overview 2. Caching: What, Why, and Where 3. Caching Pattern Types 4. Eviction Policies 5. Caching Solution Types 6. Why Consider Database Caching 7. Utilizing Distributed Caching 8. Summary of Caching Benefits 9. Caching Case Studies 10. Looking Ahead [โฆ]
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 [...]
The adoption of In-Memory Computing is on the rise - estimated at 11.4B USD in 2020, it is expected to reach US$ 67.5 Billion by 2032, exhibiting a growth rate (CAGR) of 14.7% during 2024-2032. This can be attributed to the growing demand for faster processing and analytics, to [...]
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 [...]
Contents Clarifying the In-Memory Conundrum In-Memory Database In-Memory Data Grid In-Memory Computing So Whatโs the Difference? Not all In-Memory Data Grids Are Created Equal Last words Clarifying the In-Memory Conundrum Although In-Memory Computing has been available in the market since the late 1990s and is ubiquitously deployed, many people [...]
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 [...]
Businesses are dealing with three tectonic forces that are now challenging IT everywhere - digital transformation, channel proliferation and real-time AI-decision management. While both digital transformation and channel proliferation have been around for some time, real-time AI decision management is playing havoc with this shifting landscape. Businesses need new [...]
Organizations that aspire to optimize their processes and products can benefit from understanding the distinct roles and challenges associated with different engineering paradigms. Application Engineering, Platform Engineering, and Data Engineering each play a unique role in the lifecycle of software development and deployment. They involve specialized knowledge and practices [...]
The most popular data terms on our website and a few from other popular sites, reflect the current hot data topics. Hereโs our list with some additional context.ย Data fabric Data-driven organizations need to be able to utilize data in the most efficient way possible, enabling easy access and [...]
Risk management systems are being used consistently by many organizations, ingesting data and producing reports on levels of business risks - from strategic, compliance and operational risks to financial and reputational risks. But are these reports delivering sufficient insight on a timely basis? Consider financial services, insurance applications, payment [...]
Floods, hurricanes and technical failures - all of these cause major destruction. The insurance industry relies on catastrophe modeling, using risk models that are either commercially available or home-grown, to estimate the potential losses resulting from catastrophic natural disasters. Probably due to climate change, catastrophic events are occurring more [...]
Organizations are on the lookout for innovative technology that can better serve customers, optimize their operations, and predict trends that detect potential threats or opportunities. Here, digital twin technology has much to offer. This technology creates a virtual replica of a physical object, system, or process. It requires a [...]
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