Jurus SEO Natural adalah pengembangan Jurus SEO tangan gatal yang telah sukses menebar ratusan kata kunci pada halaman mesin pencari atau SERP (search engine results page) pada halaman pertama. (Coment: dibuat sendiri, dipuji sendiri : Narsis banget…).

Yang membedakan Antara Keduanya.

Kalau Jurus tangan gatal diperuntukkan untuk blogger pemula yang sulit membuat artikel, dan belum paham apa itu jurus SEO, Teknis, tehnik SEO, sehingga dengan jurus ini diharapkan biasa dengan lancar membuat artikel apa saja tiap hari, kemudian di bookmark ke social bookmarking, dan di submit ke beberapa SE.

Berbeda dengan Jurus tangan Gagal, Jurus SEO Natural (JSEON), lebih sederhana, tidak aneh, aneh, cukup hanya menulis dengan keyword atau kata kunci tertarget, tidak copy paste, tidak di submit dan tidak di bookmark sendiri. Tapi secara alamiah akan:

1. dibacklink sendiri karena artikelnya bagus dan menarik pembacanya,
2. di index sendiri karena memang tugas mesin pencari mengindek tanpa disuruh,
3. tidak dibookmark sendiri, tidak di submit tiap kali membikin halaman postingan.
4. tidak direkayasa secara berlebihan untuk mengelabuhi mesin pencari alias sealamiah mungkin.
5. Dengan demikian antara judul, isi, content sangat relevant, enak dibaca tapi akrap dengan pembaca dan mesin pencari.

Semoga menjadi SEO terbaik yang membuat kita tidak lagu pusing-pusing mikirin apa itu SEO. Ada yang bilang ini SEO apa adanya, sehingga waktu tidak dihabiskan untuk memikirkan kerja mesin pencari tapi lebih focus ke kualitas materi artikel apa yang ingin ditulis.

Catatan: Jurus SEO terbaik itu artinya terbaik hanya untuk Pakde Sendiri, kalau untuk anda pasti banyak Jurus SEO. Jurus SEO ini dibuat untuk melancarkan bisnis online dan internet marketing yang pakde siapkan, sekaligus untuk menaikkan trafik alexa rank.

Demikian semoga tidak ada yang kecewa setelah membaca Jurus SEO dan Teknik SEO Natural atau alamiah yang saya posting hari ini.

Sumber :http://www.sumintar.com/teknik-seo-dan-jurus-seo-terbaik.html

Before you start, ensure that you have all the components (Analytic Server and Analytic Integration Services up and running)

Open up the Analytic Integration Services Console. As soon as you start, it would prompt you to create an OLAP catalog.

Enter connection details for a schema that you generally use for storing metadata (recommended to create a separate schema in order to store the metadata). Once that is done it would automatically take us to the following screen

On to the left is the OLAP metadata connection. Enter the details that you entered in the previous screen. On to the right is the Analytic Administration Services connection. Enter those details here. The next step is to create an OLAP Model.

Next is the screen to establish a connection to the data source. As I said, I would be connecting to the Sales Warehouse schema.

There are two types of files that we would be dealing here. They are

ü Olap Model

ü MetaOutline

In Olap Model one can establish all the joins of the tables that they want in their schema. It requires a fact table and their corresponding dimensions. Hierarchies should be specified here.

Metaoutline is a file type wherein one can create the dimensions and specify the measures. Once the Olap model is created the next step is to design the Metaoutline.

The next step is to load the data.

Then one can use the excel add in to view the data.

This is one of the ways to create a cube. One can also create the cube directly from the Analytic Administration Services. Also, I have not gone into lots of other features that would make essbase stand part. This was just to show an overview for people would like to start with Essbase but do not know where to begin from.

In my previous blog we seamlessly integrated an Essbase cube with OBIEE.  In this blog  we will see how a simple data-visibility scheme can be implemented for this OBIEE, Essbase integration.

In my SALES_F fact table you can see that every transaction is assigned to one of 5 employees (1 through 5) joined to the EMPLOYEE_D table by the EMPLOYEE_WID foreign key.  Our goal is to set up data visibility such that when an employee logs in to the OBIEE application, he can see only the transaction details that are assigned to him.

First, we create 5 users in the RPD using Security Manager.

Next, create a new security group (Employee Group) in the RPD and assign the 5

users into this security group.

Now we need to assign permissions for this security group. Click the permissions button and click on Filters tab.

Click add and and select the fact table (SALES_F) on which you want to apply the filter.

Click on the Business Model Filter to open up the expression builder window.

In the expression builder enter the filter condition: CUBE_DATA.EMPLOYEE_D.LOGIN =  VALUEOF(NQ_SESSION.”USER”) .

This filters the contents of the fact table to the employee logging in to the OBIEE application. We are able to achieve seamless data level security implementation between OBIEE and Essbase  as the Essbase Cube AND OBIEE have the same data model and the login column is mapped to the cube as well as to the  EMPLOYEE_D table in the oracle DB.

Now you can log into Answers and verify that your Data visibility scheme gives you the right results.

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