Access 2013 by John Hales

By John Hales

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SAP HANA Starter

Every thing you must be aware of so one can construct your first SAP HANA standalone application!


Understand key ideas in the back of SAP HANA
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In Detail

SAP HANA is SAP's in-memory database expertise, and the focus in their subsequent new release process. utilizing column-based garage to supply hugely compressed and speedily accessed facts, a SAP HANA program may be a number of hundred instances quicker than an analogous program on prior iteration database technology.

SAP HANA Starter is a hands-on booklet, taking you step by step during the production of your first SAP HANA software. you can find the construction blocks that SAP HANA offers, and use them to create a powerful reporting software. extra complex beneficial properties are proven, permitting you to remodel your reporting software right into a every year revenues bring up simulator. eventually, you'll tips on how to entry your SAP HANA program from Microsoft Excel.

Using effortless to appreciate examples and logical development, you'll construct your first SAP HANA program – a revenues quantity simulator, from scratch.

Starting with the construction of tables within the database, and utilizing the modeling development blocks supplied by means of the SAP HANA Studio, you'll first see easy methods to construct a reporting program on those tables, after which expand this program to permit revenues elevate simulation, ultimately making the knowledge on hand to others in Microsoft Excel.

What you are going to examine from this book

Understanding the strategies at the back of the SAP HANA method – what makes it different
Installation and configuration of the SAP HANA Studio
Creation of database tables and characteristic and analytic perspectives – the construction blocks of any SAP HANA application
Development of graphical calculation perspectives for extra complex reporting needs
Use of calculated attributes and measures in reporting perspectives to control information at the fly
Addition of filters and consumer activates in your program for extra dynamic output
Integration with reporting instruments similar to Microsoft Excel utilizing MDX
Discover the most necessary web pages and blogs documenting SAP HANA

Written as a realistic advisor, SAP Hana Starter will express you all you must comprehend to construct your first reporting program using SAP's new in-memory database technology.

Who this publication is written for

SAP HANA Starter is geared toward SAP specialists and clients of competing database applied sciences, in addition to somebody curious as to what all of the fuss referring to SAP HANA is set. No past SAP ERP, BW, or database programming adventure is important, even though notions of the way SQL and desk joins paintings could be useful. entry to a SAP HANA field is important to persist with the examples in the community.

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В книге описана одна из самых популярных реляционных систем управления базами данных MySQL. Вместо простого обзора возможностей MySQL, автор показывает, как можно максимально эффективно использовать эту СУБД. На примере тестовых баз данных он приводит решения проблем, с которыми вы обязательно столкнетесь при практическом использовании MySQL.

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This might be an acceptable trade-off in some situations. The workload of event logging systems tends to be heavily skewed toward writing; read performance may not be as critical as perfectly balanced write performance. Option 3: Shard by an evenly distributed key in the data set If a field in your documents has values that are evenly distributed among the documents, you should strongly consider using this key as a shard key. Continuing the previous example, you might consider using the path field.

In this stage, all the updates are computed and guaranteed not to cause consistency violations within the server. 2. Once all servers have executed the “prepare” step, each server then applies the up‐ dates that are part of the transaction. The drawback to a two-phase commit is that it can significantly slow down your appli‐ cation. Since each server guarantees that the transaction can be completed at the end of the prepare step, the server will typically maintain a set of locks on data to be modified.

D' }, 'hits': { '$sum': 1 } } }, ]) This command aggregates documents from the events collection with a pipeline that: Uses the $match operation to limit the documents that the aggregation framework must process. $match is similar to a find() query. , $lt) 2000-10-11. Uses the $project operator to limit the data that continues through the pipeline. This operator: • Selects the path field. • Creates a y field to hold the year, computed from the time field in the original documents.

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