Tag: real-time data processing
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5 min read
When NoSQL Isn’t Enough: The Need for a Stronger Data Platform
Read more: When NoSQL Isn’t Enough: The Need for a Stronger Data PlatformIntroduction NoSQL databases and data platforms have gained widespread adoption over the past decade, offering flexible schema design, horizontal scalability, and fast data ingestion. While NoSQL databases are an unquestioned market success, they are not a silver bullet. Businesses handling mission-critical, high-velocity…
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5 min read
Understanding Volt Active Stream Processing
Read more: Understanding Volt Active Stream ProcessingProcessing data streams in real time has become essential for modern businesses. The rapid increase in data generation and the demand for immediate decision-making have rendered traditional batch processing inadequate. Simply collecting and analyzing data after the fact is no longer enough—companies…
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5 min read
Top 3 Kafka Streams Challenges
Read more: Top 3 Kafka Streams ChallengesWe’ve been writing a lot about challenges lately. We recently wrote about API challenges – now we’re discussing challenges with Kafka Streams. Volt is very big on Kafka, as we specialize in complementing it in a really powerful way to allow enterprises to get the most…
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5 min read
Latency vs. Throughput: Navigating the Digital Highway
Read more: Latency vs. Throughput: Navigating the Digital HighwayImagine the digital world as a bustling highway, where data packets are vehicles racing to their destinations. In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. Let’s unravel the mystery behind these terms and examine…
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5 min read
Why Retailers Need Real-Time Data Processing
Read more: Why Retailers Need Real-Time Data ProcessingThe big shopping season may be over, but it’s never too late for retailers to prepare for the next big shopping surge – before it has a chance to break their stacks. Many if not most retailers and ecommerce businesses depend heavily on…
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5 min read
Top 5 Real-Time Data Processing Trends of 2023
Read more: Top 5 Real-Time Data Processing Trends of 20232023 was a huge year for real-time data processing. Enterprises are more focused than ever using real-time data to guide the path forward, and things like AI are changing the game. As technology continues to evolve, real-time data processing has transformed from something closer…
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