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2 Tonne Hydraulic Trolley Jack Short Wheel Base - Halfords

We, Halfords Limited, lcknield Street Drive, Redditch, Worcestershire, B98 0DE hereby declare that the machine described below is both in its basic design and construction and in the version marketed by us conforms to the relevant safety and health related requirements of the appropriate EC Directives. This declaration shall cease to be valid if modifications are made to the machine without our approval. Product: Halfords 2 Tonne Hydraulic Trolley Jack Short Wheel Base Model: T820033 Item Code 2 Tonne Hydraulic Trolley Jack Short Wheel Base 332236 Instruction Manual Serial number:........................................... (to be entered by customer) Item Code: 332236 Model T820033 Applicable EC Directive /Regulations: Machinery Directive 2006/42/EC as amended by Directive 2009/127/EC EN1494:2000 + A1:2008 Mobile or movable jacks and associated lifting equipment The Supply of Machinery (Safety) Regulations 2008 Statutory instrument 2008 No.1597 The Supply of Machinery (Safety) (Amendment) Regulations 2011 Statutory instrument 2011 No.2157 It is ensured through internal measures that series-production units conform at all times to the requirements of current EC Directives and relevant standards.

Water Heater Installation documentation Renault Master ... - Webasto

Installation documentation Renault Master / Opel Movano Diesel from Model Year 2010 Left-hand drive vehicle Gear box Manual / automatic air-conditioning system Front- rear wheel drive WARNING! Hazard warning: Incorrect installation or repair of Webasto heating systems may cause a fire or result in the emission of carbon monoxide, which can be fatal. Serious or fatal injuries can be caused as a result. Specialist company training, technical documentation, specialized tools and equipment are required to install and repair Webasto heating and cooling systems. Only original Webasto parts must be used. For this, also see the catalog of air and water heater accessories from Webasto. NEVER attempt to install or repair Webasto heating or cooling systems if you have not successfully completed the company training and thereby acquired the required technical skills, or if you do not have access to the required technical documentation, tools and equipment needed to carry out correct installation and repairs. ALWAYS follow all Webasto installation and repair instructions and observe all warnings. Webasto does not accept any liability for defects and damage that are attributable to installation by untrained staff. Ident. No.: 1316167A_EN ...

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RENAULT recommends ELF ELF has developed a complete range of lubricants for RENAULT: engine oils manual and automatic gearbox oils Warning: to ensure the engine operates optimally, the use of a lubricant may be restricted to certain vehicles. Please refer to your maintenance document. Benefiting from the research applied to Formula 1, lubricants are very high-tech products. Photo credit: Total/DPPI Imacom group Updated with the help of RENAULT’s technical teams, this range is perfectly compatible with the specific features of the brand’s vehicles. ELF lubricants enhance your vehicle’s performance significantly. RENAULT recommends approved ELF lubricants for oil changes and top-ups. Contact your RENAULT Dealer or visit Une marque de Welcome aboard your vehicle This Driver’s Handbook contains the information necessary: – for you to familiarise yourself with your vehicle, to use it to its best advantage and to benefit fully from the all the functions and the technical developments it incorporates. – to ensure that it always gives the best performance by following the simple, but comprehensive advice concerning regular maintenance. – to enable you to deal quickly with minor faults not requiring specialist attention. It is well worth taking a few minutes to read this handbook to familiarise yourself with the information and guidelines it contains about the vehicle and its functions and new features. If certain points are still unclear, our Network technicians will be only too pleased to provide you with any additional information. The following symbol will help you when reading this handbook: To indicate a hazard, danger or safety recommendation. The descriptions of the models given in this handbook are based on the technical specifications at the time of writing. This handbook covers all items of equipment (both standard and optional) available for these models, but whether or not these are fitted to the vehicle depends on the version, options selected and the country where the vehicle is sold. This handbook may also contain information about items of equipment to be introduced later in the model year. Throughout the manual, the “approved dealer” is your DACIA dealer. Enjoy driving your new vehicle. Translated from French. Copying or translation, in part or in full, is forbidden unless prior written permission has been obtained from the vehicle manufacturer.

Wiring for Renault - Parrot
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If you install a CK3100, you must see the message “good bye” on your display when you cut off your engine. If you don’t have, you don’t have the correct polarity. Renault cars have an inverted polarity. 12V Ignition and the 12V Permanent are inverted so change the fuses holders : - red to orange and orange to red. Car kit Parrot Battery Pin Number:Couleur White Yellow Blue Orange Green Brown Red Black Description Mute In 1 Mute In 2 Mute In 3 + 12V Memory + 12 V Permanent Masse Car kit Parrot, car’s speakers Pin Number:Couleur Grey White Blue Green Red Orange Bronw Black Description Rear right speaker + Rear right speaker Front right speaker + Front right speaker Front left speaker + Front left speaker Rear left speaker + Rear left speaker - Mounting Procedure for CK3000 Evolution Mounting Procedure for CK3100 Same mounting procedure for CK3300, CK3500

NoSQL Databases - Christof Strauch
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Relational database management systems (RDMBSs) today are the predominant technology for storing structured data in web and business applications. Since Codds paper “A relational model of data for large shared data banks“ [Cod70] from 1970 these datastores relying on the relational calculus and providing comprehensive ad hoc querying facilities by SQL (cf. [CB74]) have been widely adopted and are often thought of as the only alternative for data storage accessible by multiple clients in a consistent way. Although there have been different approaches over the years such as object databases or XML stores these technologies have never gained the same adoption and market share as RDBMSs. Rather, these alternatives have either been absorbed by relational database management systems that e. g. allow to store XML and use it for purposes like text indexing or they have become niche products for e. g. OLAP or stream processing. In the past few years, the ”one size fits all“-thinking concerning datastores has been questioned by both, science and web affine companies, which has lead to the emergence of a great variety of alternative databases. The movement as well as the new datastores are commonly subsumed under the term NoSQL, “used to describe the increasing usage of non-relational databases among Web developers” (cf. [Oba09a]). This paper’s aims at giving a systematic overview of the motives and rationales directing this movement (chapter 2), common concepts, techniques and patterns (chapter 3) as well as several classes of NoSQL databases (key-/value-stores, document databases, column-oriented databases) and individual products ...

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What Is NoSQL? Why NoSQL? - Usenix
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hardware as it became available. When that didn’t work, they tried to scale existing relational solutions by simplifying their database schema, de-normalizing the schema, relaxing durability and referential integrity, introducing various query caching layers, separating read-only from write-dedicated replicas, and, finally, data partitioning in an attempt to address these new requirements. Although each of these techniques extended the functionality of existing relational technologies, none fundamentally addressed the core limitations, and they all introduced additional overhead and technical tradeoffs. In other words, these were good band-aids but not cures. A major influence on the eventual design of NoSQL databases came from a dramatic shift in IT operations. When the majority of relational database technology was designed, the predominant model for hardware deployments involved buying large servers attached to dedicated storage area networks (SANs). Databases were designed with this model in mind: They expected there to be a single machine with the responsibility of managing the consistent state of the database on that system’s connected storage. In other words, databases managed local data in files and provided as much concurrent access as possible given the machine’s hardware limitations. Replication of data to scale concurrent access across multiple systems was generally unnecessary, as most systems met design goals with a single server and reliability goals with a hot stand-by ready to take over query processing in the event of master failure. Beyond simple failover replication, there were only a few options, and they were all predicated on this same notion of completely consistent centralized data management. Technologies such as two-phase commit and products such as Oracle’s RAC were available, but they were hard to manage, very expensive, and scaled to only a handful of machines. Other solutions available included logical SQL statement-level replication, single-master multi-replica log-based replication, and other home-grown approaches, all of which have serious limitations and generally introduce a lot of administrative and technical overhead. In the end, it was the common architecture and design assumptions underlying most relational databases that failed to address the scalability, latency, and availability requirements of many of the largest sites during the massive growth of the Internet. Given that databases were centralized and generally running on an organization’s most expensive hardware containing its most precious information, it made sense to create an organizational structure that required at least a 1:1 ratio of database administrators to database systems to protect and nurture that investment. This, too, was not easy to scale, was costly, and could slow innovation. A growing number of companies were still hitting the scalability and performance wall even when using the best practices and the most advanced technologies of the time. Database architects had sacrificed many of the most central aspects of a relational database, such as joins and fully consistent data, while introducing many complex and fragile pieces into the operations puzzle. Schema devolved from many interrelated fully expressed tables to something much more like a simple key/value look-up. Deployments of expensive servers were not able to keep up with demand. At this point these companies had taken relational databases so far outside their intended use cases that it was no wonder that they were unable to meet performance requirements. It quickly became clear to them that they could do much better by building something in-house that was tailored to their particular workloads. These in-house custom solutions are the inspiration behind the many NoSQL products we now see on the market.

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A Universal NoSQL Engine, Using a Tried and Tested Technology

You wouldn't expect a programming language from the 1960s to have anything new to teach us, especially one that diverged from the mainstream around the time that Dartmouth BASIC became popular. Even more especially a programming language called MUMPS. However, surprisingly there is one aspect of this archaic language that is still ahead of it's time. MUMPS has a pearl in its oyster called Global Persistent Variables. These are an abstraction of the B-tree structures that are normally used by MUMPS to store large volumes of data. Global Persistent Variables (usually simply referred to as "Globals") are an expressive and highly efficient way of modelling all of the common use cases that are targeted these days by NoSQL databases. This paper explains how these Globals can be used to model and store data from each of the distinct types of NoSQL databases: Key/value store, Tabular/Column store, Document store and Graph database, and how, by using the modern, tried and tested MUMPS implementations, you have the best of all worlds: NoSQL capabilities combined with the reliability and maturity needed for business-critical applications. Note: Globals are not to be confused with the more commonly used term that refers to globally scoped variables. MUMPS Globals are a data storage structure. For follow-up articles written since this paper was first published, see “The EWD Files”: A Brief Introduction to NoSQL The term NoSQL has been around for just a few years and was invented to provide a descriptor for a variety of database technologies that emerged to cater for what is known as "Web-scale" or "Internet-scale" demands. Put simply, there are three aspects to web-scale:...

Scalable SQL and NoSQL Data Stores - sigmod

In this paper, we examine a number of SQL and socalled “NoSQL” data stores designed to scale simple OLTP-style application loads over many servers. Originally motivated by Web 2.0 applications, these systems are designed to scale to thousands or millions of users doing updates as well as reads, in contrast to traditional DBMSs and data warehouses. We contrast the new systems on their data model, consistency mechanisms, storage mechanisms, durability guarantees, availability, query support, and other dimensions. These systems typically sacrifice some of these dimensions, e.g. database-wide transaction consistency, in order to achieve others, e.g. higher availability and scalability. Note: Bibliographic references for systems are not listed, but URLs for more information can be found in the System References table at the end of this paper. Caveat: Statements in this paper are based on sources and documentation that may not be reliable, and the systems described are “moving targets,” so some statements may be incorrect. Verify through other sources before depending on information here. Nevertheless, we hope this comprehensive survey is useful! Check for future corrections on the author’s web site Disclosure: The author is on the technical advisory board of Schooner Technologies and has a consulting business advising on scalable databases.

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Understanding NoSQL Technologies on Windows Azure - Microsoft

Relational technology has been the dominant approach to working with data for decades. Typically accessed using Structured Query Language (SQL), relational databases are incredibly useful. And as their popularity suggests, they can be applied in many different situations both on premises and in the cloud. But relational technology isn’t always the best approach. Suppose you need to work with very large amounts of data, for example, too much to store on a single machine. Scaling relational technology to work effectively across many independent servers (physical or virtual) can be challenging. Or suppose your application works with data that’s not a natural fit for relational systems, such as JavaScript Object Notation (JSON) documents or graphs. Shoehorning the data into relational tables is possible, but a storage technology expressly designed to work with this kind of information might be simpler. NoSQL technologies have been created to address problems like these. As the name suggests, the label encompasses a variety of storage technologies that don’t use the familiar relational model. Yet because they can provide greater scalability, alternative data formats, and other advantages, NoSQL options can sometimes be the right choice. Relational databases still have a good future, and they’re still best in many situations, but NoSQL databases are also important. This is especially true for applications running in the public cloud. A public cloud platform such as Windows Azure provides enough compute power to run very scalable applications with lots of simultaneous users. But at this scale, relational technology often breaks down—there’s too much data. This makes NoSQL technologies especially important for cloud applications, and so Windows Azure supports a variety of NoSQL alternatives. This guide walks through the options, explaining what each one provides and why you might want to use it.

SUBJECT LINE: Important Garmin nüvi Product Safety Recall ...

Dear Garmin Customer: This notice is sent to you in accordance with the requirements of the National Traffic and Motor Vehicle Safety Act. DESCRIPTION Garmin has decided that a defect which relates to motor vehicle safety exists in certain models of Garmin’s nüvi® brand of portable automotive GPS products due to a potential risk of battery overheating. Garmin has identified potential overheating issues when certain batteries manufactured by the third-party battery supplier within a limited date code range are used in certain Garmin nüvi models with a specific printed circuit board (PCB) design. It appears that the interaction of these factors can, in rare circumstances, increase the possibility of overheating, which may lead to a fire hazard. AFFECTED PRODUCTS The recalled devices include a small subset of the following nüvi model numbers:   nüvi 200W, 250W, and 260W nüvi 7xx and 7xxT (where xx is a two-digit number) IMMEDIATE ACTION REQUIRED Determine your nüvi model and serial number by looking at the label on the back or bottom of your nüvi. You must provide this and other information to determine whether your nüvi is affected by this recall. To easily and quickly determine whether your nüvi is affected, go to If you do not have access to the web site, call (866) 957-1981 toll free in the United States with your nüvi serial number to determine if your nüvi is affected. RESOLUTION If you determine that your nüvi is affected by this recall, you must immediately stop using the device and return it to the directed Garmin-authorized service center for service. The unit’s battery will be replaced with a new battery and a spacer will be inserted on top of the battery next to the PCB. The insertion of the spacer will provide a uniform enclosure space for the replacement battery. When the battery is replaced and the service concluded, your nüvi will be immediately returned to you. You will not have to pay for any associated service or shipping charges. Do not attempt to remove the battery yourself. Promptly discharge the battery in any recalled nüvi devices to eliminate the possibility of the battery overheating. To safely discharge the battery, perform the following actions in order: 1. Disconnect the nüvi from all power cables and mounts. 2. Turn on the nüvi. The top right corner of the nüvi main menu displays the battery symbol and indicates the current battery charge level. 3. Let the nüvi sit until the battery is completely discharged and the nüvi turns itself off. 4. Do not re-charge or continue to use a recalled nüvi. After you discharge your nüvi battery, follow the instructions you received from Garmin for returning your nüvi.