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SAP HANA Tailored Datacenter Integration Option. Cisco UCS Configuration Principles for Shared Storage. March 2. 01. 4Contents. Table of Figures. The SAP name has been synonymous with stateoftheart analytical methods since its introduction over 30 years ago. SAP2000 follows in the same tradition featuring a. Introduction. Global Hardware Requirements for the SAP HANA Database. CPU. Memory. CPU and Memory Combinations. Network. Storage. File System Sizes. Operating System. Boot Options. High Availability. Cisco Solution for SAP HANA Scale Out Design. Cisco UCS Configuration. Server Pool Policy. BIOS Policy. Serial over LAN Policy. Maintenance Policies. Power Of Hacking. How to change your folders background Step 1 Have the Folder you want to put the background on open Step 2 Open up Notepad, then simply paste. Autodesk, Inc. is an American multinational software corporation that makes software for the architecture, engineering, construction, manufacturing, media, and. Alloy/Images/Assets/Articles/SPI%2007-2015/07-2015-Security-fig1.gif' alt='Sap Keygen 2.0' title='Sap Keygen 2.0' />Intelligent Platform Management Interface Access Profile. Service Profile Template Configuration. Service Profile Deployment. Cisco Solution for SAP HANA Tailored Datacenter Integration. Port. Channel Connection. Pinning Option with Eight Uplinks. Storage Connectivity Options. Boot Options. PXE Boot. SAN Boot. Local Disk Boot. Operating System Installation. SUSE Linux Enterprise Server. Operating System Configuration. Linux Kernel Crash Dump. Storage Access for SAP HANA. Block Storage for SAP HANA Data and Log Files. File Storage for SAP HANA Data and Log Files. Block Storage for SAP HANA Shared File System. File Storage for hanashared. Cisco UCS Solution for SAP HANA TDI Shared Network. Multiple SAP HANA SIDs in One Appliance. SAP HANA and SAP Application Server in One Appliance. SAP HANA in an Existing Cisco UCS Deployment. Conclusion. For More Information. Appendix Direct Attached NFS Failure Scenarios. Network Attached Storage and Cisco UCS Appliance Ports. Summary of Failure Recovery Principles. Figure 1. High Level SAP HANA Network Overview. Figure 2. File System Layout. Figure 3. Cisco Solution for SAP HANA Scale Out Design. Figure 4. Chassis Discovery Policy. Figure 5. IOM Fabric Ports with Pinning Mode. Figure 6. IOM Fabric Ports with Port Channel Mode. Figure 7. Power Policy. Figure 8. Power Control Policy for SAP HANA Nodes. Figure 9. Server Pool Policy Qualification HANA 5. GB 4. 87. 0. Figure 1. CPU Qualification Properties. Figure 1. 1. Memory Qualification Properties. Figure 1. 2. Server Pool. Figure 1. 3. Server Pool Policy HANA 5. GB 4. 87. 0. Figure 1. List of Servers in Server Pool HANA 5. GB 4. 87. 0. Figure 1. Macromedia Fireworks 8 Rar'>Macromedia Fireworks 8 Rar. BIOS Policy Main Settings. Figure 1. 6. BIOS Policy Advanced Processor. Figure 1. 7. BIOS Policy Advanced Intel Directed IO. Figure 1. 8. BIOS Policy Advanced RAS Memory. Figure 1. 9. BIOS Policy Advanced Serial Port. Figure 2. 0. BIOS Policy Advanced USB. Figure 2. 1. BIOS Policy Advanced PCI Configuration. Figure 2. 2. BIOS Policy Boot Options. The Candlestick Training Series. Figure 2. 3. BIOS Policy Server Management. Figure 2. 4. Serial over LAN Policy. Figure 2. 5. Maintenance Policy. Figure 2. 6. IPMI Access Profile. Figure 2. 7. Adapter Policy Linux B4. Figure 2. 8. Network Paths with Cisco UCS. Figure 2. 9. VLAN Definition in Cisco UCS Old. Figure 3. 0. VLAN Definition in Cisco UCS New. Figure 3. 1. VLAN Groups in Cisco UCS. Figure 3. 2. VLAN Groups Uplink Port. Channels for VLAN Group Admin Zone. Figure 3. 3. v. NIC Templates Old. Cisco UCS for SAS Visual Analytics. The design detailed in this document offers a Cisco Validated design for SAS Visual Analytics. The architecture is based on Cisco UCS Integrated Infrastructure for Big Data and Analytics. SAS Visual Analytics provides a complete platform for analytics visualizationoffering intuitive, drag and drop interactions and rapid, highly visual responses. Layered between the analysis software and the big data deployment is Visual Analytics with Distributed LASR Server, an application specifically designed to provide fast, secure, multi user access to distributed Hadoop deployments by moving the data into memory. By combining big data and in memory analytics on an infrastructure designed for extreme performance, organizations gain a competitive advantage by turning big data into information and information into business insight. This solution brings a simple and linearly scalable architecture to provide advanced analytics using SAS Visual Analytics and SAS VA LASR Analytic server on Apache Hadoop based systems providing all the benefits of the Cisco UCS Integrated Infrastructure for Big Data and Analytics. Some of the features of this solution include          Flexible big data platform, which works for both batch and real time processing. Simplified infrastructure management via Cisco UCS Manager. Architectural scalability, linear scaling based on data requirements. Advanced analytical capabilities using SAS Visual Analytics         Fast, secure, multi user access to in memory data in a distributed computing environment using SAS LASR Analytic Server         While the reference architecture supports all leading Hadoop distributions, this document provides step by step configuration guideline based on Cloudera Enterprise. Based on the Cisco UCS Integrated Infrastructure for Big Data and Analytics, this solution includes computing, storage, connectivity, and unified management capabilities to help companies manage the immense amount of data common to big data deployments. It is built on the Cisco Unified Computing System Cisco UCS infrastructure, using Cisco UCS 6. Series Fabric Interconnects, and Cisco UCS C Series Rack Servers. This document describes the architecture and deployment procedures for Visual Analytics 7. Distributed LASR and Cloudera 5. Cisco UCS C2. 40 M4 cluster based on Cisco UCS Integrated Infrastructure for Big Data and Analytics. The intended audience for this document includes sales engineers, field consultants, professional services, IT managers, partner engineering, and customers who want to deploy Visual Analytics 7. Cloudera 5. 7 on Cisco UCS Integrated Infrastructure for Big Data and Analytics. This CVD describes in detail the process for installing Cloudera 5. Visual Analytics 7. Distributed LASR on Cisco UCS Integrated Infrastructure for Big Data and Analytics. The current version of Cisco UCS Integrated Infrastructure for Big Data and Analytics offers the following configuration as shown in Table 1. Configuration Detail. Cisco UCS 6. 33. 2 Fabric Interconnects. Livro Casas Brasileiras there. Cisco UCS C2. 40 M4 Rack Servers SFF, each with 2 Intel Xeon processors E5 2. CPUs 1. 4 cores on each CPU5. GB of memory 1 Cisco 1. Gbps Modular non RAID SAS HBA Controller 8 Intel S3. TB SSD 2 2. 40 GB 6 Gbps 2. Enterprise Value SATA SSDs for Boot. Cisco UCS VIC 1. 38. GE SFP portsThe base configuration of 1. Hadoop nodes with 1. SAS VA servers are as follows          Three Cisco UCS C2. M4 Rack Servers 1 SAS Metadata, 1 SAS Middle Tier, 1 SAS VA compute         Nineteen Cisco UCS C2. M4 Rack Servers,         Sixteen Hadoop Data Nodes. As illustrated in Figure 1, this design helps ensure complete isolation of SAS VA and Hadoop nodes to achieve better availability. At the HDFS level we have HA available at the name node with Primary and Secondary name nodes being configured. LASR Root node co located with the Name node. In case Primary name node fails, one can simply restart the root node installed on the Secondary Name node and cluster becomes available very quickly. Separation of Web App tier, SAS Meta data server and SAS VA Server provides complete isolation and greater control over the available resources. However, for a typical SAS VA Distributed deployment it is common to deploy all three in a single node. You may have data in various OLTP systems such as Oracle or SAP, EDW, and you may also have an existing Hadoop cluster to store your big data volumes. The aim is to build a new presentation and visual data exploration analysis tool. All the data from these systems can flow into the Cisco UCS Hadoop cluster using various SASAccess engines. The data flow be set and triggered using SAS Data Loader for Hadoop that will pull the data from various source systems and load it into Hadoop and then they can be loaded into LASR. When the data is in LASR, you can explore the data through creating reports or use SAS Visual Explorer to better understand data. Figure 2 depicts the hardware configure associated with the reference architecture and placement of the various servers on the physical infrastructure. SAS Visual Analytics  Table 2      Configuration Details Component. Description. Connectivity. Cisco UCS 6. 33. 2 3. Port Fabric Interconnects. Hadoop LASR Cluster 1. Cisco UCS C2. 40 M4 Rack Servers   3 x Hadoop Name NodeSecondary Name Node and Resource Manager   1. Data Nodes. SAS LASR services are collocated on the Data Nodes. Please refer to Service Assignment section for specific service assignment and configuration details. Visual Analytics Server. Cisco UCS C2. 40 M4 Rack Servers. SAS VA App Server, 1 x SAS VA Metadata, 1 x SAS VA Compute. Integrated Infrastructure for Big Data and Analytics for SAS Visual Analytics. The Cisco UCS Integrated Infrastructure for Big Data and Analytics for SAS Visual Analytics is based on Cisco UCS Integrated Infrastructure for Big Data and Analytics, a highly scalable architecture designed to meet a variety of scale out application demands with seamless data integration and management integration capabilities built using the following components The Cisco UCS 6. Series Fabric Interconnect, as shown in Figure 3, is a core part of Cisco UCS, providing low latency, lossless 1. Gigabit Ethernet, Fiber Channel over Ethernet FCo. E, and Fiber Channel functions with management capabilities for the system. All servers attached to the Fabric Interconnects become part of a single, highly available management domain. Cisco UCS C2. 40 M4 High Density Rack Servers Small Form Factor Disk Drive Model, are enterprise class systems that support a wide range of computing, IO and storage capacity demands in compact designs, as shown in Figure 4. Cisco UCS C Series Rack Mount Servers are based on the Intel Xeon E5 2. Cisco 1. 2 Gbps Modular non RAID SAS HBA Controller. Cisco UCS C2. 40 M4 servers provide 2. DIMMs supporting up to 1. TB of main memory. It can support a range of disk drive and SSD options. Specifically, Cisco UCS C2. M4 supports twenty four Small Form Factor SFF disk drives plus two internal SATA boot drives for a total of 2. Cisco UCS Virtual Interface cards 1. VICs are designed for the M4 generation of Cisco UCS C Series Rack Servers and are optimized for high bandwidth and low latency cluster connectivity, with support for up to 2. Cisco UCS Manager. The Cisco UCS Virtual Interface Card 1. Enhanced Quad Small Form Factor Pluggable QSFP 4. Gigabit Ethernet and Fiber Channel over Ethernet FCo. E in a modular LAN on motherboard m. LOM form factor. The m. LOM slot can be used to install a Cisco VIC without consuming a PCIe slot providing greater IO expandability. See Figure 5. Cisco UCS Manager resides within the Cisco UCS 6. Series Fabric Interconnect Figure 6. It makes the system self aware and self integrating, managing all of the system components as a single logical entity.