Java Alternative For Sharepoint

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Ein Virtualisierung von Isolierten Sharepoint Informationsinseln ist keine Konsolidierung Spätestens, wenn die Anzahl der Sharepoint Instanzen die Anzahl Ihrer Mitarbeiter übersteigt, werden die Kosten und Compliance Probleme mit dieser Infrastruktur sichtbar

PC World: “demand will grow exponentially -- unless the infrastructure limits it, which could happen as early as 2010. “ For example, according to a study from research firm IDC and storage vendor EMC, data requirements are growing at an annual rate of 60 percent. Today, that figure tops 45 gigabytes for every person, or 281 exabytes total (equivalent to 281 billion GB). Discovery Institute estimates that by 2015 in the US alone: Internet traffic 50 times that of 2006 movie downloads and P2P file sharing could be 100 exabytes video calling and virtual windows could generate 400 exabytes “ cloud” computing and remote backup could total 50 exabytes Internet video, gaming, and virtual worlds could produce 200 exabytes non-Internet “IPTV” could reach 100 exabytes, and possibly much more business IP traffic will generate some 100 exabytes other applications (phone, Web, e-mail, photos, music) could be 50 exabytes

Froze ADC power consumption Capped LOB power usage

Main Point: Greater flexibility and scalability have been added in 11g Script: There are two main innovations in 11g with Coherence, which help drive even better performance and scale. Further optimizations mean that you can now pull as much as a terabyte of data into memory. This is a huge amount of data and it will help your applications scale-out at peak performance. Another reinforcement of our Hot-pluggable strategy, we’ve added support for multiple languages to Coherence to support heterogeneous environments. So, you can pull a data set into memory and access it from C, C++, .NET, as well as Java. This gives you the ability to have a common data access layer across all of your different applications. Additional detail: A terabyte is a very large amount of data. Most data warehouses are a few terabytes, but you know, most transaction systems are not. They only store gigabytes of data so you can pretty much do all of your access in memory if you need to. We can dynamically partition data in Coherence across a very wide cluster. As you combine 64-bit operating systems and 64-bit JDKs with the ability to cluster a set of machines together, you could pull as much as a terabyte of data into memory. The first and most important one is that we can dynamically partition data in Coherence across a very wide cluster and as you combine 64-bit operating systems and 64-bit JDKs with the ability to cluster a set of machines together, you could pull as much as a terabyte of data into memory, okay. A terabyte is a very large amount of data. Most data warehouses are a few terabytes, but you know, most transaction systems are not. They only store gigabytes of data so you can pretty much do all of your access in memory if you need to.

14 Exadata cells 168 disk drives 64 database server cores total 3 36-port Infiniband QDR (40Gb/sec) switches Enough for adding up to 7 more racks by just adding cables between the racks Cisco Ethernet 48-port switch (admin) KVM

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Java Alternative For Sharepoint - Presentation Transcript

Microsoft Sharepoint dominates the Enterprise 2.0 Market
… and spreads like a Virus
… but Virtualization of thousand disconnected Sharepoint Information Islands is not Consolidation …
Living in Exponential Times Data Storage Growth: 60% per year (IDC) Internet Traffic Growth: 100% per year Internetworldstats.com
Enterprise vs. Consumer Software Consolidate Centralize Virtualize Governance
ECM “Shared Services Infrastructure” From Sharepoint Sharepoint Sharepoint Sharepoint Sharepoint Sharepoint To ECMApp ECMApp ECMApp ECMApp HA, DR Security ECM “Shared Services Infrastructure”
Enterprise Software Example In-Memory Data Grid with Zero Data Loss Java EE on WebLogic Server POJO Application Java EE on other App Server .NET Application Higher Throughput and Lower Latency Guaranteed Zero Data Loss Dynamic Capacity Adjustment Efficient Data Access Mainframe Offloading C++ Application
- Extreme scale-out terabytes of data
- Hot-pluggable support for heterogeneous environments
Database Access & O-R Mapping
Enterprise Performance & Scalability: Oracle Exadata V2
- Fastest Information Warehousing Performance
- Best Information Warehousing Cost/Performance
- Fault Tolerant & Scalable On-Demand
A very important decision about future IT Architecture and Platform
- Java vs. .NET
- Java EE Application Server vs. Microsoft IIS
- Oracle Database vs. Microsoft SQL Server
- Eclipse and JDeveloper vs. Microsoft Visual Studio
- SOA vs. BIZTALK
Integrated Reliable Scalable Oracle WebCenter is the Java Alternative for Sharepoint Secure Open Consolidated