Tag: ACID
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8 min read
What is Intelligent Manufacturing?
Read more: What is Intelligent Manufacturing?Smart, or intelligent, manufacturers are central to the industrial IoT world and always looking for ways to decrease operating expenses, increase overall efficiency, reduce downtime, and maximize production. To this end, more and more manufacturers are investing in intelligent manufacturing technology that…
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The 5 Main Challenges With Monetizing AI and ML Data (and How to Fix Them)
Read more: The 5 Main Challenges With Monetizing AI and ML Data (and How to Fix Them)Monetizing AI/ML data has become a hot topic for enterprises, and rightly so: We appear at or near ‘peak AI’. It’s absolutely everywhere, and we’re even seeing companies like Dell put out expensive TV commercials talking about what they can do with…
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OEMs: The 6 Questions to Ask Your Data Platform Vendors
Read more: OEMs: The 6 Questions to Ask Your Data Platform VendorsOEMs face incredible challenges today. They’re being asked to do more with less as supply chain and operation overrun issues create a legitimate OEM crisis. And yet, more often than not, OEMs don’t consider their underlying tech stack technologies until they are…
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ACID vs CAP: What’s the Difference?
Read more: ACID vs CAP: What’s the Difference?Acid transactions, ACID properties, and the CAP theorem are two important concepts in data management and distributed systems. It’s unfortunate that in both acronyms the “C” stands for “Consistency,” but actually means completely different things. What follows is a primer on the…
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NoSQL Due Diligence, Part 2: NoSQL Misconceptions
Read more: NoSQL Due Diligence, Part 2: NoSQL MisconceptionsIntroduction NoSQL databases became “en mode” some time around 2012 and sprouted a database revolution that led many enterprises to replace their traditional RDBMS technology with NoSQL-based data platforms. What’s interesting now is how many of these companies are either regretting their…
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How HPE’s Communications Technology Group Will Accelerate 5G Adoption and Mastery for Telcos
Read more: How HPE’s Communications Technology Group Will Accelerate 5G Adoption and Mastery for TelcosIn February, Hewlett Packard Enterprise (HPE) launched a new Enterprise Communications Technology Group (CTG) to help telcos and enterprises capitalize on the 5G opportunity. As a partner of HPE, the Volt Active Data team couldn’t be more excited about this development and…
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Your Data Platform & The Five Things You Need to Support 5G BSS
Read more: Your Data Platform & The Five Things You Need to Support 5G BSSBusiness support systems (BSS)—specifically, charging and policy functions—hold the key to monetizing 5G investments for telecommunications companies and their partners. However, for this key to unlock new revenue for communication service providers (CSPs), there are a couple of things that need to…
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8 min read
If Latency is Important, You Should Think Twice
Read more: If Latency is Important, You Should Think TwiceRedis recently announced a US$100M round of funding; a positive sign for the industry, especially in the current challenging environment. In the article, co-founder and CTO Yiftach Shoolman states ambitiously that “If latency is important, you should think twice before you use…
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Smart Stream Processing in the Age of 5G
Read more: Smart Stream Processing in the Age of 5GIn today’s digitally driven world, processing streaming data in real-time is a requirement for business success. The introduction of 5G networks will only increase the data volume and speed requirements that are already putting pressure on traditional data architectures. Organizations need to…
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3 Benefits of Using a In-Memory NewSQL Data Platform for Smart Stream Processing
Read more: 3 Benefits of Using a In-Memory NewSQL Data Platform for Smart Stream ProcessingTraditional pub/sub systems such as Apache Kafka (and their numerous ever evolving stream processing avatars like Apache Samza, Apache Storm, Apache Flink, etc.) work fine for a bunch of simple use cases where there is a need for simple decisions, speed, scale…
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6 Reasons Why Your Machine Learning Project Will Fail to Get Into Production
Read more: 6 Reasons Why Your Machine Learning Project Will Fail to Get Into ProductionThere is a massive difference between generating the input data needed by a Machine Learning model once (to prove a concept), and doing it continuously, indefinitely, at scale, and within short time periods. Years of experience working with disparate and imperfect data…
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Is “Translytics” Just Rebranded “OLTP”?
Read more: Is “Translytics” Just Rebranded “OLTP”?Recently Forrester group has started to talk about “translytics” and Translytical Databases – databases that can “Deliver Analytics At The Speed Of Transactions”. Is this more marketing hype? Or is there something to it? A traditional OLTP database handles lots of rapid fire…