Data 360
Veriyi almaktan ona göre harekete geçmeye kadar, adım adım anlatılan Data 360.
Data 360 (eski adıyla Data Cloud) güçlüdür ve içine dalıp yolunu bulmak zorlayıcı olabilir. Bu seride onu parça parça kuruyorum; veriyi almaktan ve veri modeline eşlemekten kimlik çözümleme ve segmentasyona kadar; böylece parçaların nasıl bir araya geldiğini görebilirsiniz.
İster Data 360’a yeni başlıyor olun ister onunla zaten çalışıyor olun, amaç her temel bileşeni ve neler yapabileceğini anlamak.
Eski adıyla Data Cloud Diaries serisi; video başlıklarının bazıları hâlâ bu adı kullanıyor.
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)
Video, yalnızca üzerine tıkladığınızda YouTube’dan yüklenir.