The document presents an overview of Oracle's Autonomous Data Warehouse Cloud (ADWC), detailing its features, restrictions, and connectivity options for data visualization and integration. Authored by Edelweiss Kammermann, a seasoned professional in Oracle technology, it highlights the cloud service's capabilities, including machine learning, online scaling, and data security. Additionally, it provides guidelines for creating ADWC instances, loading data, and connecting with Oracle Data Visualization Desktop.

1. A Presentation for:
Autonomous Data Warehouse Cloud &
Data Visualization
Edelweiss Kammermann
Nuremberg, Germany
November 20th, 2018

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Over 600 Customers Engagements In More Than 50 Countries
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Edelweiss Kammermann
 Computer Engineer, BI and Data Integration Specialist
 Over 20 years of Consulting and Project Management experience in Oracle technology.
 Co-founder and Vice President of Uruguayan Oracle User Group (UYOUG)
 Vice President of LAOUC (Latin America Oracle User Community)
 BI Manager at ITConvergence
 Writer and frequent speaker at international conferences: Collaborate, OTN Tour LA,
UKOUG Tech & Apps, OOW, etc
 Oracle ACE Director
 Oracle Big Data Implementation Specialist

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Index
What is Autonomous Data Warehouse Cloud?
Creating an Instance of ADWC
Connectivity with ADWC
How to connect DVD to ADWC
Oracle Data Visualization

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What is Autonomous Data Warehouse Cloud (ADWC)?
 Cloud Service specially designed for
Data Warehouse
 Based on Oracle Database 18c &
Exadata
 Cloud Service on Oracle Cloud
Infrastructure (OCI)
 It doesn’t require admin task or tuning
 Data is saved encrypted
 Online Scaling CPU & Storage
 Machine Learning features
 Data Visualization Desktop is included

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ADWC Restrictions - August 2018
 Tablespaces are automatically configured. Cannot be created, modified or deleted
 Compression: Hybrid Columnar Compression (Exadata functionality) Cannot be modified.
 Cannot create dblinks to other databases (security reasons). Only allowed from other databases
to ADWC
 Cannot create or modify Materialized Views, Indexes or Partitions
 Restricted list of SQL commands in the following documentation
https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/user/experienced-database-
users.html#GUID-58EE6599-6DB4-4F8E-816D-0422377857E5
 There is no access to sys or system user.
 The administrator user is “admin”

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ADWC Restrictions – Since September 2018
 Tablespaces are automatically configured. Cannot be created, modified or deleted
 Compression: Hybrid Columnar Compression (Exadata functionality) + all table compression
types.
 Cannot create dblinks to other databases (security reasons). Only allowed from other databases
to ADWC
 Materialized Views, Partition and Indexes can be created now.
 Restricted list of SQL commands in the following documentation
https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/user/experienced-database-
users.html#GUID-58EE6599-6DB4-4F8E-816D-0422377857E5
 There is no access to sys or system user.
 The administrator user is “admin”

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Login into Oracle Cloud

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Creating an ADWC instance
 Compartment where the instance will be
created
 Instance Name
 Number of CPUs.
 Number of Terabytes of Storage

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What is a Compartment?
 A compartment is a logical
division.
 A way to organize the Cloud
services inside the Oracle
Cloud
 Once we created an ADWC
instance in a compartment
cannot be moved to another
one.

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Connecting to ADWC
 Can connect with Oracle products and
analytics and ETL tools for third-party
 Connection through wallet.
 Certification Matrix
 http://www.oracle.com/technetwork/database/bi-
datawarehousing/adwc-certification-matrix-4920939.pdf

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Loading data into ADWC
 SQLDeveloper 18.2 +
 SQL Developer 17.4+
needs keystore password
 ETL tools
 Oracle Data Integrator
 Informatica PowerCenter
 etc

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Get ADWC Credentials
 In the Service Console, under the Administration option, select Download Client
Credentials
 Or DB connection
option from the ADWC
instance console

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ADWC Wallet’s Content

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ADWC Connection Details
 The connection details can be found In the tnsnames. ora or using the new DB connection
button
 Choose the correspondent one depending on performance requirements

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ADWC Connection Types
 Pre defined Service names offer different levels of performance & concurrency
 High: the highest level of performance. Number of concurrent queries 3 – this value does not
depend of the number of CPUs
 Medium: performance lower level than high Number of concurrent queries: depends on
number of CPUs (lineal increment)
 Low: is the lowest value for performance but is the highest value of concurrency
Obs: Using Low database replication like GoldenGate

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ADWC Concurrency Examples
 Considering an ADWC instance with 16 CPU
 High: 3 concurrent queries
 Medium: 20 concurrent queries
 Low: 32 concurrent queries

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From Where Data can be loaded in ADWC?
 Local servers files
 Oracle Database (on prem or Cloud)
 Storage in the Cloud
 Oracle Object Storage
 Azure Blob Storage
 AWS S3

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Connecting to ADWC from Data Visualization Desktop (DVD)
For previous versions to 12.2.5.0
1. Get the ADWC Credentials (Wallet)
2. Copy the wallet.sso under DVD folder
3. Get the connection details from the
tnsnames.ora file or DB connection option
4. Create a new connection in DVD

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1. Get ADWC Credentials
 In the Service Console, under the
Administration option, select Download Client
Credentials

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2. Copy the wallet.sso file under DVD folder
 Copy the wallet.sso file under %AppData%LocalDVDesktopcomponentsOBISdwcs folder
 Create the folder in case it doesn’t exist

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3. Get the ADWC Connection Details
 The connection details can be found In the tnsnames. ora or using the new DB connection
button
 Choose the correspondent one depending on performance requirements

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4. Creating an ADWC connection in DVD

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Connecting to ADWC from Data Visualization Desktop (DVD)
Since version 12.2.5.0
1. Get the ADWC Credentials (Wallet)
2. Get the connection details from the
tnsnames.ora file or DB connection option
3. Create a new connection in DVD 12.2.5.0

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Creating a new ADWC connection in DVD 12.2.5

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Oracle Data Visualization Desktop
 Self- Service Analytics
 Intuitive and easy to use
 Oriented to Business Users
 Can connect to more than 30
data sources
 Sources can be combined
without coding or SQL
knowledge

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Data Visualization – Getting Started
 Create Data Sets
 Create a Project
 Select a Data Set
 Drag & Drop attributes to create
Data visualizations
 Add filters
 Combine with other sources
 Create the story of the data with
the Narrate option
 Share the Project

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Creating ADWC Data Sets in Data Visualization Desktop
 Select database schema
 Data Sets can be based on
 Selected columns from a table
 SQL Query

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ADWC Demo

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Further Information
 ADWC Cloud
https://cloud.oracle.com/en_US/datawarehouse
 Labs for ADWC
https://www.youtube.com/watch?v=bEPwRlukjVU
 ADWC Tutorials
https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/tutorials.html
 ADWC & Machine learning Documentation
https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/books.html
Oracle Analytics Library
https://www.oracle.com/solutions/business-analytics/data-visualization/library.html
Oracle Data Visualization Dekstop Downloads
https://www.oracle.com/technetwork/middleware/oracle-data-visualization/downloads/oracle-data-
visualization-desktop-2938957.html

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Questions?

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email: ekammermann@itconvergence.com
Twitter: @EdelweissK

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