Top Tweets for #Streamingdata
@Snowflake OpenFlow & connectors as your “glue stack” of ETL, queues, and point tools. Add Datastream for breadth of data pipelining.
Announced visual pipeline builder.
Architect takeaway: consider integrated streaming/ETL on governance, visibility, and shared catalog. #StreamingData
@Snowflake Announced Snowflake Datastream (Kafka‑compatible, zero‑copy, sub‑second) to meet demand for streaming.
For architects: this challenges the assumption that streaming infra must sit outside the data platform. Expect consolidation of Kafka‑adjacent spend.
#StreamingData
Analytics confirm Genshin Impact continues dominating streaming platform leaderboards, holding top spots for both peak and average concurrent viewership. #GenshinImpact #StreamingData #Twitch
What is the worst Kafka incident you have lived through? 👇
Repost 🔁 if your consumer lag dashboard is currently lying to you.
Follow @dashmundkar for boring infra wins that save real money.
#Kafka #DataEngineering #DevOps #StreamingData #PlatformEngineering #SRE
Free movies and TV consumer data is on Dorea Brain right now.
25 real responses. What people are watching, what they're skipping, and what they think.
Open to everyone: https://t.co/8Wnm9SkJnk
#Entertainment #StreamingData #Dorea #OpenData
CEP vs. regular streaming engines: different beasts. Regular engines apply the same calculation to every record. #DolphinDB CEP is event‑driven—different schemas, different rules, triggered only when patterns match. #StreamingData #BigData
#DolphinDB gives you full visibility into your streaming pipelines. Monitor subscriber queues, engine memory, and publisher connections in real time. Catch bottlenecks before they cascade. #StreamingData #RealTimeAnalytics
🚀 #DataFlowAutomation – Build End-to-End Data Pipelines From Web Scraping To Visualization For Real-Time Analytics 📊
👉 Explore More >>> https://t.co/uTQtwC86pe
📩 Contact us: [email protected]
#BigData #AI #Analytics #StreamingData #DigitalTransformation #RealdataApi
Queue depth = canary in the coal mine
Growing subscriber queue? Processing is slower than ingestion.
If it hits queueDepthLimit, publisher writes block → delays cascade.
#DolphinDB #PerformanceTuning #StreamingData
Subscribe with offset recovery
subscribeTable(..., reconnect=true, persistOffset=true)
getTopicProcessedOffset lets you resume exactly where you left off.
No message loss, no double processing.
#DolphinDB #RealTimeAnalytics #StreamingData
Convert regular → HA stream table
Same name? Clear old data and logs with dropStreamTable first.
Check metadata with getPersistenceMeta.
#DolphinDB #StreamingData #Migration
From config to cluster: HA streaming pipeline
-Set streamingRaftGroups
-Create HA stream table with haStreamTable
-Publish to leader via API
-Subscribe with reconnect=true
-Automatic failover. Done.
#DolphinDB #StreamingData #DevOps
#DolphinDB uses the Raft consensus protocol to replicate stream tables across nodes.
If a leader fails, a new leader is elected automatically. Subscribers reconnect seamlessly.
#HighAvailability #StreamingData
Margo's got money trouble. Viewership? That's a different story.
1.2M U.S. households for the premiere, averaging 1M viewers/ep across 6 episodes. For Apple TV, that's a hit.
Sleeper of the year?
#SambaInsights #MargosGotMoneyTrouble #AppleTV #StreamingData #Samba
Micro-tours win in 2026. Artists use streaming data to pick 3–4 cities where fans cluster, less travel, bigger impact. Read how: https://t.co/ymwhmFS6lP
#microtour #indieartist #streamingdata #touringtips
Engineering Skills needed to meet the demands in Data
📌 PART 2 — The 2026 Data Engineering Skillset: What Professionals, Businesses & Students Must Master
#DataEngineeringSkills #TechSkills2026 #SQL #Python #CloudSkills #DataModeling #StreamingData
🎵 Me and my shadow, never apart... 🎵
Disaster recovery for #streamingdata is one of those things that everyone needs but nobody likes to set up. External replication tools like #MirrorMaker mean extra hardware and no guarantee of data fidelity. (Not to mention more grey hairs.)
Shadow Linking is Redpanda's built-in, enterprise-grade disaster recovery feature. 🎉
No external service or no JVM tuning. Just continuous, high-fidelity replication built straight into the broker. ✌️
Paul Wilkinson walks through the full architecture, switchover and failover flows, and even throws in a demo so you can try it yourself.
Read the full post 👇
https://t.co/NpOkcyoXTl
#datastreaming #Kafka #developer
createTimeSeriesEngine → aggregates raw trades/quotes to 1‑min.
createEquiJoinEngine → joins those aggregates.
Two engines, one pipeline, zero manual state management.
#DolphinDB #StreamingData #FinTech
SQL equi join caches everything. #DolphinDB's equi join engine? Only keeps unmatched records.
Matched records are output and removed – memory efficient for high‑frequency keyed streams.
#StreamingData #Performance
nullFill parameter = tuple of default values (0, "", [], etc.) matching output columns.
No more null crashes in streaming joins.
#DolphinDB #DataEngineering #StreamingData
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