Browsing Tag

Cloud

179 posts
Best Practices for Data Analytics with AWS Azure Googel BigQuery Spark Kafka Confluent Databricks
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  • 6.7K views
  • 10 minute read

Best Practices for Building a Cloud-Native Data Warehouse or Data Lake

The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems. Unfortunately, the underlying technologies are often misunderstood, overused for monolithic and inflexible architectures, and pitched for wrong use cases by vendors. Let’s explore this dilemma in a blog series. This is part 5: Best Practices for Building a Cloud-Native Data Warehouse or Data Lake.
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Case Studies for Cloud Native Analytics with Data Warehouse Data Lake Data Streaming Lakehouse
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  • 9.4K views
  • 7 minute read

Case Studies: Cloud-native Data Streaming for Data Warehouse Modernization

The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems. Unfortunately, the underlying technologies are often misunderstood, overused for monolithic and inflexible architectures, and pitched for wrong use cases by vendors. Let’s explore this dilemma in a blog series. This is part 4: Case Studies for cloud-native data streaming and data warehouses.
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Data Warehouse vs Data Lake vs Data Streaming Comparison
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  • 10 minute read

Data Warehouse vs. Data Lake vs. Data Streaming – Friends, Enemies, Frenemies?

The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems. Unfortunately, the underlying technologies are often misunderstood, overused for monolithic and inflexible architectures, and pitched for wrong use cases by vendors. Let’s explore this dilemma in a blog series. This is part 1: Data Warehouse vs. Data Lake vs. Data Streaming – Friends, Enemies, Frenemies?
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JMS Message Queue vs Apache Kafka Comparison
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  • 19 minute read

Comparison: JMS Message Queue vs. Apache Kafka

Comparing JMS-based message queue (MQ) infrastructures and Apache Kafka-based data streaming is a widespread topic. Unfortunately, the battle is an apple-to-orange comparison that often includes misinformation and FUD from vendors. This blog post explores the differences, trade-offs, and architectures of JMS message brokers and Kafka deployments. Learn how to choose between JMS brokers like IBM MQ or RabbitMQ and open-source Kafka or serverless cloud services like Confluent Cloud.
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Cybersecurity in Crypto and FinTech with Data Streaming and Apache Kafka
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  • 5 minute read

Apache Kafka in Crypto and FinServ for Cybersecurity and Fraud Detection

The insane growth of the crypto and fintech market brings many unknown risks and successful cyberattacks to steal money and crypto coins. This post explores how data streaming with the Apache Kafka ecosystem enables real-time situational awareness and threat intelligence to detect and prevent hacks, money loss, and data breaches. Enterprises stay compliant with the law and keep customers happy in any innovative Fintech or Crypto application.
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Legacy Modernization and Hybrid Multi Cloud with Apache Kafka in Healthcare
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  • 4 minute read

Legacy Modernization and Hybrid Multi-Cloud with Kafka in Healthcare

IT modernization and innovative new technologies change the healthcare industry significantly. This blog series explores how data streaming with Apache Kafka enables real-time data processing and business process automation. This is part two: Legacy modernization and hybrid multi-cloud. Examples include Optum / UnitedHealth Group, Centene, and Bayer.
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Data Streaming with Apache Kafka in the Healthcare Industry
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  • 4 minute read

Apache Kafka in the Healthcare Industry

IT modernization and innovative new technologies change the healthcare industry significantly. This blog series explores real-world examples of data streaming with Apache Kafka to increase efficiency, reduce cost, and improve the human experience across the healthcare value chain including pharma, insurance, providers, retail, and manufacturing. This is part one: Overview.
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Apache Kafka Transactions API vs Big Data Lake and Batch Analytics
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  • 9 minute read

Analytics vs. Transactions in Data Streaming with Apache Kafka

Workloads for analytics and transactions have very unlike characteristics and requirements. Many people think that Apache Kafka is not built for transactions and should only be used for big data analytics. This blog post explores when and how to use Kafka in resilient, mission-critical architectures and when to use the built-in Transaction API.
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The Real-Time Food and Retail Supply Chain powered by Apache Kafka
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  • 9 minute read

Real-Time Supply Chain with Apache Kafka in the Food and Retail Industry

This blog post explores real-world deployments across the end-to-end supply chain powered by data streaming with Apache Kafka to improve business processes with real-time services. The examples include manufacturing, logistics, stores, delivery, restaurants, and other parts of the business. Case studies include Walmart, Albertsons, Instacart, Domino’s Pizza, Migros, and more.
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Event Streaming as the Data Hub for Crypto NFT and Metaverse
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  • 7.9K views
  • 19 minute read

Apache Kafka as Data Hub for Crypto, DeFi, NFT, Metaverse – Beyond the Buzz

Decentralized finance with crypto and NFTs is a huge topic these days. It becomes a powerful combination with the coming metaverse platforms across industries. This blog post explores the relationship between crypto technologies and modern enterprise architecture. I discuss how event streaming and Apache Kafka help build innovation and scalable real-time applications of a future metaverse. Let’s skip the buzz (and NFT bubble) and instead review existing real-world deployments in the crypto and blockchain world powered by Kafka and its ecosystem.
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