SAP BusinessObjects Predictive Analytics 3.1 Supported Platforms (PAM)

Transcription

1 SAP BusinessObjects Predictive Analytics 3.1 Supported Platforms (PAM) November 23 rd 2016 v 1.13 Disclaimer: This document is subject to change and may be changed by SAP at any time without notice. The document is not intended to be binding upon SAP to any particular course of business, product strategy, and/or development.

2 SAP BusinessObjects Predictive Analytics 3.1 SAP BusinessObjects Predictive Analytics Expert Analytics Automated Analytics Predictive Factory Desktop Desktop Client Server Web Browser Server Database world SAP HANA (1) Automated Predictive Library Predictive Analysis Library Other Native Libraries R-Server SAP BW Hadoop Major databases (1) SAP HANA database can also be the SAP HANA Cloud Platform (HCP) database. In such a case it is necessary to configure the HCP Cloud Connector service to allow SAP BusinessObjects Predictive Analytics to connect to the database SAP SE or an SAP affiliate company. All rights reserved. Customer 2

3 SAP BusinessObjects Predictive Analytics 3.1 Table of Content SUPPORTED PLATFORMS Server Components by Operating System Client Components and Java versions support by Operating System Application and Web Server Support by Operating Systems Language Support Browser Support by Operating Systems (Predictive Factory) Database Support by Operating Systems Big Data Supported SAP Business Warehouse (BW) versions SAP BusinessObjects BI platforms support Open Source R support Automated Predictive Library Hardware requirements Other Technology Support by Operating Systems How to read the tables in this document Checkmark means supported by Automated Analytics and Expert Analytics A means supported by Automated Analytics A A dash means not supported - E means supported by Expert Analytics E 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 3

4 Server 2008 Server 2012 Windows 7 Windows 8 Windows 10 Red Hat EL 6.5+, 7.0+ SUSE 11.3+, POWER 7.1 SAP BusinessObjects Predictive Analytics 3.1 Server Components by Operating Systems Windows Server 64-bits Windows Desktop 64-bits Linux AIX R2 R2 SP1 8 or PL3 (2) TL3 (3) SAP Predictive Analytics Server (1) A A A A A A A A SAP Predictive Factory (1) SAP BusinessObjects Predictive Analytics Server permit to install several flavors/configurations. So, you can decide on the following: Standalone Workstation, Authenticated Server, Full installation, or even a Custom installation. (2) SUSE 11 Patch Level 3 minimum (3) AIX 7.1 Technical Level 3 minimum 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 4

5 Server 2008 Server 2012 Windows 7 Windows 8 Windows 10 Red Hat EL 6.5+, 7.0+ SUSE 11.3+, POWER 7.1 SAP BusinessObjects Predictive Analytics 3.1 Architecture Client and Java Components by Operating Systems Windows Server 64-bits Windows Desktop 64-bits Linux AIX R2 R2 SP1 8 or PL3 (1) TL3 (2) SAP BusinessObjects Predictive Analytics Desktop A A SAP BusinessObjects Predictive Analytics Client (3) A A A A A A A A Windows Linux AIX 7.1 tl3 Java Runtime SAP Java Virtual Machine (JVM) 7 (4) Oracle Java Runtime Environment (JRE) 7 - (1) SUSE 11 Patch Level 3 minimum (2) AIX 7.1 Technical Level 3 minimum. For AIX Oracle JRE 7 do not exist. (3) Supported JVM: SAP JVM 7 or Oracle JRE 7 (4) With Windows, SAP JVM is provided with the installer. Note that the tested JVM has been downloaded from SAP SMP 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 5

6 SAP BusinessObjects Predictive Analytics 3.1 Application and Web Server Support by Operating Systems Web Server for Java Web Start (1) : SAP BusinessObjects Predictive Analytics Server only Web Server Version Windows Server 2012 Windows Server 2008 Linux IIS 8.5 A A N/A Apache Server 2.4.x - - A (1) Java Web Start can be deployed on the SAP BusinessObjects Predictive Analytics Server and is used to deploy the client application on the user s desktop where the Oracle JVM 7 is installed SAP SE or an SAP affiliate company. All rights reserved. Customer 6

7 SAP BusinessObjects Predictive Analytics 3.1 Language Support SAP BusinessObjects Predictive Analytics Clients Predictive Factory Chinese (simplified) English French German Japanese Portuguese (Brazil) Russian Spanish Polish - Hungarian - Korean - Turkish SAP SE or an SAP affiliate company. All rights reserved. Customer 7

8 SAP BusinessObjects Predictive Analytics 3.1: Predictive Factory Browser Support by Operating System Web Browser Microsoft Edge Version Latest version Microsoft Internet Explorer desktop 11 (1) Google Chrome (2) Mozilla Firefox (3) SAFARI Latest version Latest version Latest version (1) IE Compatibility View display modes are not supported. (2) The current version of Google Chrome is supported based on testing with earlier versions of Chrome during development. Although SAP will work to maintain compatibility with Google Chrome, please be aware that issues may be introduced if and when Google makes significant changes to Chrome between rapid releases. Version 48. Note that the ipad version is not supported. (3) The current version of Mozilla Firefox is supported based on testing with earlier versions of Firefox during development. Although SAP will work to maintain compatibility with Mozilla Firefox, please be aware that issues may be introduced if and when Mozilla makes significant changes to Firefox between rapid-releases. Version SAP SE or an SAP affiliate company. All rights reserved. Customer 8

9 SAP BusinessObjects Predictive Analytics 3.1 Database support (1) by Product & Operating Systems Provider Name / DBMS Version Database Connector Windows Linux AIX 7.1 tl3 Generic JDBC (2) E - - DB2 v9/v9.5 IBM DB2 ODBC Driver (2) A A - IBM DB2 v10 For z/0s with db2jcc4.jar (DB2 v10) (2) For LUW with db2jcc4.jar (DB2 v10) (2) E - - nzjdbc.jar (2) IBM PureData System for Analytics Netezza 7.1.x Netezza SQL driver (2) A A 2008 SP2/SP3 SQL Server Native Client 10.0 A A - Microsoft SQL Server 2008 R2 SP0/SP1 SQL Server Native Client 10.0 A A SQL Server Native Client 10.0 & 11.0 A A SQL Server Native Client 10.0 & 11.0 A A - Oracle (3) 12 ojdbc6.jar or ojdbc7.jar (Oracle 12) (2) Oracle 12.x or DataDirect 7.1 SP5 (2) A A PostgreSQL 8.4+ and 9.x PostgreSQL 9.x (4) A - IQ 16 Sybase IQ 16.x - - SQL Anywhere 12 (5) (embedded driver) E - - Sybase Adaptive Server Enterprise 15.5 (embedded driver) E Teradata TTUF A A Teradata 15.0 Teradata TTUF 15.0 A A 15.1 Teradata TTUF 15.1 A A Vertica 7.x Vertica ODBC Driver 7 (2) A A - (1) Database support means support across the different components of SAP BusinessObjects Predictive Analytics (data access, data manipulation, code generations). Exceptions are explicitly stated. (2) JDBC drivers are used by Expert Analytics and ODBC drivers are used by Automated Analytics (3) Oracle Real Application Cluster is supported. (4) Connectivity of Expert Analytics to database is done by a JDBC driver that must be installed (5) For Expert Analytics only. Note: Only the DataDirect database connector for Oracle is installed with PA SAP SE or an SAP affiliate company. All rights reserved. Customer 9

10 SAP BusinessObjects Predictive Analytics 3.1 SAP database support by Product & Operating Systems Provider Name / DBMS Version Database Connector Windows Linux AIX 7.1 tl3 SAP HANA (1) (2) (3) (4) 1.0 SPS11 HANA 1.0 Revision 112 and above A A 1.0 SPS12 HANA 1.0 Revision 121 A A SAP HANA Express Edition 1.0 HANA 1.0 revision A A A SAP SAP ERP 6 SAP ERP 6 (5) E - - SAP R/3 Release 4 SAP R/3 Release 4 (5) E - - mysap ERP 2004 mysap ERP 2004 (5) E - - SAP MII 14.0 SP3 or later SAP MII (Manufacturing Integration and Intelligence) 14.0 SP3 or later (5) E - - MaxDB 7.7 sapdbc.jar (5) E - - Automated Analytics Expert Analytics APL Multitenant Database Containers (MDC) - (1) It is recommended to follow SAP HANA Datacenter Service Point guidance to upgrade production systems. Other versions of SAP HANA may only be used for testing or evaluation. For additional information on SAP HANA Revision and Maintenance Strategy, refer to note : (2) Certified on HANA SPS11 revision 112 (3) SAP BusinessObjects Predictive Analytics can access via ODBC to the HANA database even if this one is on SAP HANA Cloud Platform (HCP). It is necessary to setup HCP Cloud Connector to establish this connection. (4) BW/4HANA is supported by Automated Analytics (5) Only available for Expert Analytics 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 10

11 SAP BusinessObjects Predictive Analytics 3.1 Big Data Big Data on Hadoop Hive DBMS Version Hadoop Distribution Spark Database connector Windows Linux AIX 7.1 tl HortonWorks HDP DataDirect 7.1 SP5 A A A 1.1 Cloudera CDH DataDirect 7.1 SP5 A A A Spark SQL 1.6 (1) 1.6 HortonWorks HDP DataDirect 8.0 SP1 A A A SAP HANA Vora (2) 1.2 Cloudera CDH Simba ODBC SparkSQL A A HortonWorks HDP Simba ODBC SparkSQL A A - (1) SparkSQL is not supported in Native Spark Modeling (2) Native Spark Modeling is supported on Linux only. Refer to PAM of SAP HANA Vora for exact version of Linux OS 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 11

12 SAP BusinessObjects Predictive Analytics 3.1: Expert Analytics Supported SAP Business Warehouse (BW) versions Product Supported Service Pack SAP BW 7.00 SPS >= 23 SAP BW 7.01/7.02 SPS >= 08 SAP BW 7.30 SPS >= 03 SAP BW 7.31 / 7.40 SPS >= 0 SAP BW 7.50 SPS >= 0 SAP Business Warehouse connections are read from SAP Logon, regardless of the installed version of SAP Logon SAP SE or an SAP affiliate company. All rights reserved. Customer 12

13 SAP BusinessObjects Predictive Analytics 3.1: Expert Analytics Supported SAP BusinessObjects BI Platforms SAP BusinessObjects BI Platform Feature XI 3.1 BI 4.0 BI 4.1 BI 4.2 Universe Data Acquisition (UNV Universe) (1) SP 6 / SP7 SP7 - SP11 SP1 (2) - SP7 SP1 SP3 Universe Data Acquisition (UNX Universe) (1) - SP7 - SP11 SP1 - SP7 SP1 SP3 Publish Dataset to Explorer - SP7 - SP11 SP1 - SP7 SP1 SP3 (1) Acquiring data from SAP BusinessObjects BI 4.x UNV and UNX universes connected to an OLAP data source is not supported. Acquiring data from UNX relational universes based on SAP NW BW and SAP HANA is supported. The usage of universe data acquisition on large data volumes is not supported. Please refer to the release restrictions for more information. (2) Acquiring data from SAP BusinessObjects BI 4.1 UNV requires a preliminary upgrade to BI 4.1 SP1 Patch 6. This patch was released on February SAP SE or an SAP affiliate company. All rights reserved. Customer 13

14 SAP Predictive Analytics 3.1: Expert Analytics Supported Open Source R Versions R R 3.0 R 3.1 R 3.2 Version All All All R R Server Version Comments RServe Required to run R scripts through SAP HANA. See SAP HANA R integration guide Note: R on the desktop can be installed through Expert Analytics application but to use R with SAP HANA, an administrator needs to manually install it on a separate server.. Please refer to: for SAP HANA R Integration Guide and to for R support and notes 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 14

15 SAP BusinessObjects Predictive Analytics 3.1: Automated Predictive Library (APL) Component Version Provider Name / DBMS Automated Predictive Library (APL) (1) 3.1 SAP HANA 1.0 (2) SPS11, SPS12 and HANA 2 (3) APL used in SAP Predictive Analytics 3.1 (4) 3.1 SAP HANA 1.0 (2) SPS11 and SPS12 APL Supported Platform Intel architecture IBM Power Systems IBM PowerPC Little Endian (1) Refer to slide 10 about multitenant database containers (MDC). (2) Refer to the SAP HANA Product Availability Matrix. For additional information on SAP HANA Revision and Maintenance Strategy, refer to note : (3) As soon as HANA 2 will be available (4) APL Delegation mode from Automated Analytics and inside nodes from Expert Analytics 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 15

16 SAP BusinessObjects Predictive Analytics 3.1 Hardware Requirements (*) Server Client Predictive Factory Desktop Hardware Requirements (*) RAM (minimum) RAM (recommended) Free Hard Disk Space for Installation (Typical / Full) CPU Hardware Requirements (*) RAM (minimum) Free Hard Disk Space for installation Hardware Requirements (*) RAM (minimum) Free Hard Disk Space for Installation Free Hard Disk Space per model (m) per year (y) CPU Hardware Requirements (*) RAM (minimum) RAM (recommended) Free Hard Disk Space for Installation 64-bit 2 GB 4 GB 1 GB / 1,4 GB 4 cores 64-bit 1 GB 400 MB 64-bit 4 GB 3 GB 10 MB * m * y 4 cores 64-bit 3 GB 4 GB 4 GB (*) The HW requirements are the same for SAP BusinessObjects Predictive Analytics alone, and SAP Predictive Analytics plus SAP Predictive Factory SAP SE or an SAP affiliate company. All rights reserved. Customer 16

17 SAP BusinessObjects Predictive Analytics 3.1: Desktop, Client, Server Other Technology Support by Operating Systems Technology Technology Version Windows Adobe Reader Adobe Reader version 2016 Desktop Virtualization (1) Windows Microsoft Remote Desktop Services Technology Microsoft Office Technology Version Microsoft Office 2007 SP3 Microsoft Office 2010 SP1 Microsoft Office 2013 Windows (1) Virtualization is not supported for Expert Analytics 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 17

18 SAP BusinessObjects Predictive Analytics 3.1: Other Supported Data Sources Data Sources Expert Analytics Automated Analytics (4) Microsoft Excel Flat Files Excel 2007 Excel Excel 2010 (1) Excel 2010 Excel 2013 (1) Excel 2013 Comma Separated Values (CSV) files (*) TAB delimited files Semicolon delimited files - Space delimited files - Custom character delimited files - Microsoft Outlook (2) Outlook Outlook Outlook Comma Separated Values (CSV) files TAB-delimited files SAS Files (3) - SAS for Unix Version 6/7/8/9 - SAS for Windows Version 6/7/8/9 - SAS Transport File (created with XPORT) Version 6/7/8/9 SPSS Files - SPSS Files (1) Related feature: Share Room / Dataset / Export as File (2) Related feature: Visualize & Share Rooms / Send by (3) Compressed versions of the SAS files cannot be read by Automated Analytics. (4) Note that Predictive Factory is included into Automated Analytics SAP SE or an SAP affiliate company. All rights reserved. Customer 18