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Konvensi merupakan salah satu cara menjaring calon presiden diyakini sebagai metode yang lebih demokratis. Salah satunya adalah Konvensi yang dilakukan oleh Partai Demokrat. Konvensi ini selain memiliki kelebihan, antara lain untuk menghapuskan sistem oligarki partai, juga memiliki beberapa kelemahan, antara lain ketidak-laziman dalam mengundang kader atau kandidat dari luar Partai Demokrat. Ini menunjukkan bahwa Partai Demokrat tidak optimal dalam melakukan kaderisasi dalam tubuh partainya sendiri, sehingga perlu orang-orang dari luar partai untuk menjadi Calon Presiden 2014. ditetapkan menjadi Ketua Umum Partai Demokrat. Setelah menjabat Sebagai Ketua umum SBY memang terlihat terus berekspresi untuk “mendongkrak” suara Partai Demokrat pada Pemilu 2014 mendatang, yang salah satunya adalah mengadakan Konvensi Capres. SBY sengaja membuka konvensi capres, untuk memancing tokoh-tokoh kuat di luar parpol agar bergabung bersama Partai Demokrat. Walaupun hasil konvensi bisa saja setengah hati, hanya untuk memasukkan tokoh di luar parpol ke Partai Demokrat, ide ini betulbetul dapat mengubah sistem pengambilan keputusan di tubuh Demokrat yang selama ini dinilai sentralistis menjadi betul-betul demokratis. Konvensi belakangan ini ramai digunakan partai politik (parpol) untuk mencari pemimpin hingga calon presiden (capres) tahun 2014. Salah satunya adalah yang dilakukan Partai Demokrat. Partai Demokrat berencana mengundang sejumlah tokoh di luar partainya untuk ikut dalam konvensi. Salah satunya, kader Partai Nasional Demokrat (NasDem) Endriartono Sutarto. Alhasil, mantan Panglima TNI ini harus kehilangan jabatannya sebagai Ketua Dewan Pertimbangan NasDem. Sebagai hasil Kongres Luar Biasa Partai Demokrat yang digelar di Bali 31 Maret 2013 yang lalu, Susilo Bambang Yudhoyono (SBY) ...
Thanks for downloading Autodesk® Navisworks® 2014 Service Pack 1. This document provides a quick summary of the new features and enhancements that are included in our Service Pack. Please remember to fully review the Installation Readme document before installing the Service Pack. We want to express our appreciation to all our customers who identified the issues we have addressed in this Service Pack release. Their reports gave us the opportunity to improve the product and to provide you with the best solution. We also thank you for your continued business, and for your feedback about this release. Many thanks, We strongly recommend that you read the Installation Readme document before you apply the Autodesk Navisworks Service Pack 1 to your product During installation, you may be prompted for the original installation media or a network image. In order to apply this Service Pack, you must have administrative privileges to install and uninstall products. After installing Autodesk Navisworks 2014 Service Pack 1, you must ensure that other users who share your Navisworks 2014 NWF files also install the same Service Pack. Failure to do so may mean that your Selection Set data becomes corrupted. This applies to Navisworks 2014 only. Navisworks 2014 NWF files shared with Navisworks 2013 and Navisworks 2012 users are not affected Once installed, Autodesk Navisworks 2014 Service Pack 1 cannot be uninstalled on its own. You must uninstall the complete product and then reinstall the original release of Autodesk Navisworks 2014 in order to revert to a non-Service Pack state. This applies to Navisworks 2014 only. Autodesk Navisworks Service Pack 1 provides the following fixes and enhancements: Added Autodesk ReCap support to Autodesk Freedom 2014 Crash when opening a new model after using an incorrect SQL statement for an embedded database .Net API
IBM Redbooks Product Guide The IBM® System x3650 M4 server provides outstanding performance for your business-critical applications. Its energy-efficient design supports more cores, memory, and data capacity in a scalable 2U package that is easy to service and manage. With more computing power per watt and the latest Intel Xeon processors, you can reduce costs while maintaining speed and availability. Suggested use: database, virtualization, enterprise applications, collaboration/email, streaming media, web, HPC, Microsoft RemoteFX, and cloud applications. Figure 1 shows the IBM System x3650 M4. Did you know? The x3650 M4 offers a flexible, scalable design and simple upgrade path to 16 hard-disk drives (HDDs) or solid-state drives (SSDs) plus optical and tape drives at the same time, with up to six PCIe Gen 3 slots and up to 768 GB of memory. This flexible onboard Ethernet solution provides four standard embedded Gigabit Ethernet ports and two optional embedded 10 Gb Ethernet ports without occupying PCIe slots. Comprehensive systems management tools with the next-generation Integrated Management Module II (IMM2) make it easy to deploy, integrate, service, and manage. Key features The x3650 M4 is an outstanding 2U two-socket business-critical server, offering improved performance and pay-as-you grow flexibility along with new features that improve server management capability. This powerful system is designed for your most important business applications and cloud deployments. Combining balanced performance and flexibility, the x3650 M4 is a great choice for small and medium businesses up to the large enterprise. It can provide outstanding uptime to keep business-critical applications and cloud deployments running safely. Ease of use and comprehensive systems management tools make it easy to deploy. Outstanding RAS and high-efficiency design improve your business environment and help save operational costs. Scalability and performance The x3650 M4 offers numerous features to boost performance, improve scalability, and reduce costs: Key features The x3650 M4 is an outstanding 2U two-socket business-critical server, offering improved performance and pay-as-you grow flexibility along with new features that improve server management capability. This ...
Contents 1.1 Operating an efficient server - four phases .. . . . . 4 1.2 Performance tuning guidelines. . . . . . 5 1.3 The System x Performance. . . . . 5 1.4 IBM Center for Microsoft Technologies. . . . 7 1.5 Linux Technology. . . . . . . 7 1.6 IBM Client Benchmark. . . . . . . 8 1.7 Understanding the organization of this. . . 10 Chapter 2. Understanding server types. . . . . 13 2.1 Server scalability. . . . . . 14 2.2 Authentication services. . . . . 15 2.2.1 Windows Server 2008 Active Directory domain controllers . . . . . . . 15 2.3 File servers. . . . . . . 17 2.4 Print servers. . . . 18 2.5 Database servers .. . 18 2.6 E-mail servers . .. . .. . . . 20 2.7 Web servers . .. . . . . 21 2.7.1 Web 2.0 servers. . . . . . . 22 2.8 Groupware servers.. . . . . 22 2.9 Multimedia server. . . . 23 2.10 Communication server. . . . . . . . . . . 24 2.11 Terminal server. . . . . . . . 25 2.12 Infrastructure servers .. . . . . . 26 2.12.1 DNS server. . . . . 26 2.12.2 DHCP server . .. . . . 27 2.12.3 WINS server .. . . 27 © Copyright IBM Corp. 1998, 2000, 2002, 2004, 2007, 2009. All rights reserved.
NoSQL databases represent a recent evolution in enterprise application architecture, continuing the evolution of the past twenty years. In the 1990’s, vertically integrated applications gave way to client-server architectures, and more recently, client-server architectures gave way to three-tier web application architectures. In parallel, the demands of web-scale data analysis added map-reduce processing into the mix and data architects started eschewing transactional consistency in exchange for incremental scalability and large-scale distribution. The NoSQL movement emerged out of this second ecosystem. NoSQL is often characterized by what it’s not – depending on whom you ask, it’s either not only a SQL-based relational database management system or it’s simply not a SQL-based RDBMS. While those definitions explain what NoSQL is not, they do little to explain what NoSQL is. Consider the fundamentals that have guided data management for the past forty years. RDBMS systems and large-scale data management have been characterized by the transactional ACID properties of Atomicity, Consistency, Isolation, and Durability. In contrast, NoSQL is sometimes characterized by the BASE acronym: Basically Available: Use replication to reduce the likelihood of data unavailability and use sharding, or partitioning the data among many different storage servers, to make any remaining failures partial. The result is a system that is always available, even if subsets of the data become unavailable for short periods of time. Soft state: While ACID systems assume that data consistency is a hard requirement, NoSQL systems allow data to be inconsistent and relegate designing around such inconsistencies to application developers. Eventually consistent: Although applications must deal with instantaneous consistency, NoSQL systems ensure that at some future point in time the data assumes a consistent state. In contrast to ACID systems that enforce consistency at transaction commit, NoSQL guarantees consistency only at some undefined future time. NoSQL emerged as companies, such as Amazon, Google, LinkedIn and Twitter struggled to
Oracle NoSQL Database (ONDB) provides network-accessible multi-terabyte distributed key/value pair storage with predictable latency. Data is stored in a very flexible key-value format, where the key consists of the combination of a major and minor key (represented as a string) and an associated value (represented as a JSON data format or opaque set of bytes). It offers full Create, Read, Update and Delete (CRUD) operations, with adjustable durability and consistency guarantees. It also provides powerful and flexible transactional model that eases the application development. Oracle NoSQL Database is designed to be a highly available and extremely scalable system, with predictable levels of throughput and latency, while requiring minimal administrative interaction. Oracle NoSQL Database is built upon the proven Oracle Berkeley DB Java Edition high-availability storage engine, which is in widespread use in enterprises across industries. In addition to that it adds a layer of services for use in distributed environments. The resulting solution provides distributed, highly available key/value storage that is well suited to large-volume, latency-sensitive applications. High Availability and No-Single Point of Failure Oracle NoSQL Database provides single-master, multi-replica database replication. Transactional data is delivered to all replica nodes with flexible durability policies per transaction. In the event the master replica node fails, a PAXOS-based automated fail-over election process minimizes downtime. This allows for scalability, fail-over, and hot-standby.
Why NoSQL? Three trends disrupting the database status quo Interactive applications have changed dramatically over the last 15 years. In the late ‘90s, large web companies emerged with dramatic increases in scale on many dimensions: • The number of concurrent users skyrocketed as applications increasingly became accessible via the web (and later on mobile devices). • The amount of data collected and processed soared as it became easier and increasingly valuable to capture all kinds of data. • The amount of unstructured or semi-structured data exploded and its use became integral to the value and richness of applications. Dealing with these issues was more and more difficult using relational database technology. The key reason is that relational databases are essentially architected to run a single machine and use a rigid, schema-based approach to modeling data. Google, Amazon, Facebook, and LinkedIn were among the first companies to discover the serious limitations of relational database technology for supporting these new application requirements. Commercial alternatives didn’t exist, so they invented new data management approaches themselves. Their pioneering work generated tremendous interest because a growing number of companies faced similar problems. Open source NoSQL database projects formed to leverage the work of the pioneers, and commercial companies associated with these projects soon followed. Today, the use of NoSQL technology is rising rapidly among Internet companies and the enterprise. It’s increasingly considered a viable alternative to relational databases, especially as more organizations recognize that operating at scale is more effectively achieved running on clusters of standard, commodity servers, and a schema-less data model is often a better approach for handling the variety and type of data most often captured and processed today.
NoSQL databases claim to deliver faster performance than legacy RDBMS systems in various use cases, most notably those involving big data. While this is oftentimes the case, it should be understood that not all NoSQL databases are created alike where performance is concerned. This being the case, system architects and IT managers are wise to compare NoSQL databases in their own environments using data and user interactions that are representative of their expected production workloads before deciding which NoSQL database to use for a new application. Another way to understand performance tradeoffs between different NoSQL databases is to review independent benchmarks that are produced that compare each database under different workloads. While such tests can never take the place of proof of concepts done using the exact use cases and infrastructure that a new application is targeting, they can be useful to understand the general strengths and weaknesses of a database under various workloads. After engineers at the University of Toronto conducted a 2012 benchmark ﬁnding Apache Cassandra the “clear winner throughout our experiments” , DataStax asked End Point Corporation, a database and open source consulting company, to perform a benchmark of three top NoSQL databases – Apache Cassandra, Apache HBase, and MongoDB – using a variety of different workloads on AWS. This paper documents the results obtained by End Point and provides details on how each database performed.
Weighing the financial considerations of owning and operating a data center or co-located facility versus employing a cloud infrastructure or a cloud service requires detailed and careful analysis. In practice, it is not as simple as just measuring potential hardware expense alongside utility pricing for compute and storage resources. The Total Cost of Ownership (TCO) is often the financial metric that is used to estimate and compare direct and indirect costs of a product or a service. While it is challenging to do the right apples-to-apples comparison between on-premises software and a cloud service, in this whitepaper, we attempt to explain the economic benefits of using a NoSQL (non-relational) database cloud service such as Amazon DynamoDB over equivalent NoSQL database software that is deployed onpremises or hosted in the cloud. The goal of this whitepaper is to help you understand the different cost factors involved in deploying and managing a scalable NoSQL service or solution. We walk through an example scenario (a social game to support the launch of a new movie) and highlight the total costs for three different options. We state our assumptions in each option so you can adjust them based on your own research or quotes from your hardware vendors and co-location providers.
Amazon Web Services (AWS) is a flexible, cost-effective, easy-to-use cloud computing platform. NoSQL software packages are widely deployed in the AWS cloud. Running your own NoSQL data store on Amazon Elastic Cloud Compute (Amazon EC2) is a great scenario for users whose application requires the unique benefits of structured storage software optimized for high-performance operations on large datasets. This white paper will help you understand one of the most popular NoSQL options available with the AWS cloud computing platform, the open source application MongoDB. We provide an overview of general best practices that apply to all major NoSQL options, and we examine important MongoDB implementation characteristics such as performance, durability, and security. We pay particular attention to identifying features that support scalability, highavailability, and fault-tolerance. What is NoSQL? NoSQL is a popular name for a subset of structured storage software that is designed is optimized for high-performance operations on large datasets. This optimization comes at the expense of strict ACID (atomicity, consistency, isolation, and durability) compliance and, as the name implies, native querying in the SQL syntax. NoSQL software is easy for developers to use, horizontally scalable, and optimized for narrow workload definitions. There are three major categories of NoSQL applications today:...