Data 360

一步一步講解 Data 360，從攝取資料到據此行動。

Data 360（原 Data Cloud）很強大，但一頭扎進去並摸清方向可能很有挑戰。在這個系列中，我會一塊一塊地把它搭建起來，從攝取資料並把它對映到資料模型，到身分解析和細分，讓你看到各個部分如何組合在一起。

無論你是剛開始接觸 Data 360，還是已經在使用它，目標都是理解每一個核心元件及其能力。

原名 Data Cloud Diaries 系列，有些影片標題仍在使用這個名字。

Data Cloud Diaries: Ingesting Data from Amazon S3 (5.1)
Data Cloud Diaries: Querying Data from Data Lake Objects (DLOs) using the REST API (5.2)
Data Cloud Diaries: Step by Step Data Stream to Data Lake to Data Model Objects (5.3)
Data Cloud Diaries: Initial Mapping and Loading Individual DMO from Amazon S3 (5.4)
Data Cloud Diaries: Data Model Mapping from Standard and Custom Data (5.5)
Data Cloud Diaries: Mapping to Party to Prepare for Identity Resolution (5.6)
Data Cloud Diaries: Identity Resolution, Match Rules, and Reconciliation Rules (5.7)
Data Cloud Diaries: Segmentation, Creating Sets of Data to Act On (5.8)
Data Cloud Diaries: Accessing DMOs through Salesforce and APIs (5.9)
Data Cloud Diaries: Accessing DMOs from Apex, from default Data Space (5.10)
Data Cloud Diaries: Using Ingestion API for Airline Flight Data - Part 1 (5.11)
Data Cloud Diaries: Using Ingestion API for Airline Flight Data - Part 2, the C# Bridge Code (5.12)
Data Cloud Diaries: Using Bulk Ingestion API for Airline Flight Data - Part #1 (5.13)
Data Cloud Diaries: Using Bulk Ingestion API for Airline Flight Data - Part #2 (5.14)
Data Cloud Diaries: Creating a Calculated Insight from SQL (5.15)
Data Cloud Diaries: SQL Calculated Insight Development (5.16)
Data Cloud Diaries: Accessing Calculated Insights through Data Cloud API (5.17)
Data Cloud Diaries: Creating a Streaming Insight (5.18)
Data Cloud Diaries: Using Data Actions to Send Platform Events to Salesforce Core (5.19)
Data Cloud Diaries, Data Transformation Demo (5.20)
Data Cloud Diaries: JDBC Driver Access into Data Cloud from DBeaver (5.21)
Data Cloud Diaries: Using Data Spaces to Separate Your Data and the Extra Steps to Connect (5.22)
Data Cloud Diaries:Amazon S3 Revisited (5.26)
Data Cloud Diaries: Overview of Methods for Loading and Ingesting Data into Data Cloud (5.23)
Data Cloud Diaries - Deeper in to Data Streams (5.27)
Data Cloud Diaries - Ingesting from Amazon S3 - Cool Updates (5.24)
Data Cloud Diaries - Enhancing the Data Stream. (5.28)
Data Cloud Diaries - Data Cloud Triggered Flow (5.25)

只有在你點選時，影片才會從 YouTube 載入。