Big Data Blogs and Articles
Big Data Blogs and Articles
Big Data Pulse
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Daily
Every morning
Weekly
Tuesday recap
Engineers often build custom Salesforce‑to‑warehouse pipelines, but frequent schema changes, API limits, and hidden failures turn maintenance into a monthly time sink. Snowflake’s OpenFlow connector automates schema detection and runs as a native, managed service within Snowflake, eliminating the need for hand‑coded field mapping. While still in preview for the Bulk API, OpenFlow delivers structured tables without VARIANT columns and charges only for compute, not per‑row usage. Compared to Fivetran’s broader catalog and per‑row pricing, OpenFlow is cost‑effective for Snowflake‑centric stacks but requires manual object addition.
The article compares how Apache Flink and Kafka Streams manage state in real‑time stream processing. Flink treats state as a first‑class citizen, persisting snapshots to durable storage like S3 via periodic checkpoints. Kafka Streams materializes state changes in compacted Kafka...
The post outlines a production‑grade sessionization pipeline that turns raw event streams into actionable user sessions using Kafka Streams session windows, a Redis‑backed active‑session cache, and PostgreSQL for persistence. It highlights real‑time session tracking with sub‑millisecond lookups and a REST...
Data platform teams often deliver technically complete stacks, yet consumer teams struggle because the operating interface is missing. The article argues that beyond schemas and APIs, platforms need explicit operational contracts, ownership models, adoption models, and communication patterns. It outlines...
Commvault announced an expansion of its data security posture management (DSPM) to include structured data and AI‑driven vector databases, leveraging its recent acquisition of Satori. The new real‑time data access governance lets security teams monitor and control structured data usage,...
OSINT Jobs released a tutorial showing how to access GDELT’s comprehensive news archive through Google BigQuery at no cost. The guide walks users through setting up the BigQuery environment, exploring the two core GDELT tables, and running a SQL query...
![800ms Latency Spikes From A $45K Redis Cluster That Looked Healthy [Edition #2]](/cdn-cgi/image/width=1200,quality=75,format=auto,fit=cover/https://substackcdn.com/image/fetch/$s_!fOxT!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F444d8dff-2e3d-4216-b86d-30b379177d49_1200x1200.png)
Fintech firm Veritas Pay, processing 800 million transactions annually, saw its real‑time fraud detection engine exceed the 150 ms SLA, with P99 latency spiking to 800 ms during peak loads. The root causes include Redis write saturation during six‑hour batch syncs, a Python...
The article outlines how Apache Spark has become the backbone of modern data engineering, driving real‑time analytics and large‑scale ETL workloads. It highlights the infusion of generative AI models into pipeline orchestration, enabling automated schema evolution and anomaly detection. Recent...
The Texas Advanced Computing Center (TACC) has publicly launched the Common Fund Data Ecosystem (CFDE) Cloud Workspace, a collaborative effort with Johns Hopkins, Penn State and the San Diego Supercomputer Center’s CloudBank. The platform gives researchers instant, no‑cost access to...
Anthropic’s Claude Code helped a sales team produce a full data‑analysis case study in under an hour, turning natural‑language goals into Snowflake SQL without direct data access. By leveraging an existing dbt project, Claude iteratively generated and refined queries, quickly...
Salesforce Data 360, the fastest‑growing component of the Salesforce ecosystem, now supports over 300 native connectors for ingesting any data type. The platform offers six distinct ways to export that unified data: Data Activations, Data Actions, Flow‑triggered HTTP callouts, zero‑copy...
Snowflake’s recent workshop taught data engineers how to build declarative pipelines using Dynamic Tables, which automate refresh logic, dependency tracking, and incremental updates. Participants created synthetic datasets, staged transformations, and a fact table, observing real‑time performance on 10,000 order records....
The post walks through building a production‑grade time‑based windowing engine for real‑time log analytics, covering tumbling, hopping and session windows, a metrics calculator, late‑data handling, and RocksDB‑backed state persistence. It demonstrates sub‑100 ms latency while processing over 50,000 events per second...
Databricks introduced Metric Views, a Unity Catalog‑based feature that centralizes metric definitions and dimensions. By storing business logic as reusable objects, teams can apply consistent calculations across SQL queries, dashboards, and AI‑driven tools. The YAML‑like syntax makes metrics human‑readable while...
Polars' new streaming engine dramatically improves performance, halving runtimes on moderate datasets and delivering up to four‑times speedups on a 12 GB workload compared with eager execution. The library supports eager, lazy, and streaming modes, with lazy enabling predicate pushdown and...
