Creating an IP Lookup Table of Activities in a SIEM Architecture
When working with cyber security data, one thing is for sure: there is no shortage of available data sources. If anything, there are…
データエンジニアリング
Developing Databricks’ Runbot CI Solution
Runbot is a bespoke continuous integration (CI) solution developed specifically for Databricks’ needs. Originally developed in 2019, Runbot incrementally replaces our aging Jenkins…
How YipitData Extracts Insights From Alternative Data Using Delta Lake
This is a guest post from YipitData. We thank Anup Segu, Data Engineering Tech Lead, and Bobby Muldoon: Director of Data Engineering, at…
データレイクハウスによるリアルタイム POS 分析
Disruptions in the supply chain – from reduced product supply and diminished warehouse capacity – coupled with rapidly shifting consumer expectations for seamless
データレイクで増分 ETL のメリットを活かす - CDC の課題など
従来のデータウェアハウスにおける増分 ETL（抽出・変換・ロード）は、CDC（変更データキャプチャ）ソースでは一般的になりました。しかし、規模、コスト...
AI の在庫切れモデリングを活用した店頭在庫管理の改善
This post was written in collaboration with Databricks partner Tredence. We thank Rich Williams, Vice President Data Engineering, and Morgan Seybert, Chief Business…
ソリューションアクセラレータ：マルチタッチアトリビューション
Behind the growth of every consumer-facing product is the acquisition and retention of an engaged user base. When it comes to customer acquisition,…
Delta Lake にデータを取り込む
Ingesting data can be hard and complex since you either need to use an always-running streaming platform like Kafka or you need to…
How to Build a Scalable Wide and Deep Product Recommender
Download the notebooks referenced throughout this article. I have a favorite coffee shop I’ve been visiting for years. When I walk in, the…
How to Simplify CDC With Delta Lake’s Change Data Feed
Try this notebook in Databricks Change data capture (CDC) is a use case that we see many customers implement in Databricks –…
