Data 360
Data 360 wyjaśnione krok po kroku, od pobierania danych po działanie na ich podstawie.
Data 360 (dawniej Data Cloud) to potężne narzędzie, a wejście w nie i poruszanie się po nim bywa trudne. W tej serii buduję je kawałek po kawałku, od pobierania danych i mapowania ich na model danych, przez rozpoznawanie tożsamości, po segmentację, żeby było widać, jak części do siebie pasują.
Niezależnie od tego, czy dopiero zaczynasz z Data 360, czy już z nim pracujesz, celem jest zrozumienie każdego kluczowego komponentu i tego, co potrafi.
Dawniej seria Data Cloud Diaries; niektóre tytuły filmów nadal używają tej nazwy.
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)
Film wczytuje się z YouTube dopiero wtedy, gdy go klikniesz.