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Articles tagged with #databases
Why are so many teams still juggling both a data lake and a warehouse, only to end up with slow pipelines, stale dashboards, and skyrocketing costs? Data lakes are cheap and flexible for storage but fall short when it comes to fast queries. Warehouse...
In scenarios such as cross-data-center deployments, master-slave failover, and hybrid cloud architectures, bidirectional Redis sync is a common requirement. The hardest part isn’t setting up the sync itself, but preventing data from bouncing endlessl...
Message brokers are the backbone of modern distributed systems. Whether it’s log ingestion, order processing, or building a real-time data warehouse, they ensure data flows reliably between services. Among the open-source options, Kafka, RabbitMQ, Ro...
In the age of real-time analytics, more businesses want to ingest data into their data lake with low latency and high consistency, and run unified analysis downstream. Apache Paimon, a next-gen lakehouse table format born from the Apache Flink commun...
In today’s data-driven landscape, businesses rely heavily on efficient data integration platforms to consolidate and transform data from multiple sources. Two prominent players in this space are Fivetran and BladePipe, both offering solutions to auto...
In real-world business scenarios, a basic report often requires joining 3 tables or above. This can severely impact query performance. Sometimes it takes hours for business teams to get ananalysis done. This article dives into how wide table technolo...
