business-intelligence

It's my very first post on this forum. I have stuck with the Microsoft SSIS packages and I really don't knot how to beat it. I have mentioned SSIS package files and I tried to open it with Business Intelligence Development Studio on SQL Server 2005 - it resulted with an error which informs I need another version of it - I think it ment BIDS with SQL Server 2008. As I have read further it appeared there is no free version of BIDS with SQL Server 2008. If You have any idea how to handle it please let me know. Thanks for any ideas. Download the SQL Server Express 2008 with Advanced Services

I have strange problem and don't know what to check further. Summary of the situation: working on the Windows Server 2016 as administrator, so should not have any access problems developed some Python script for getting data from Google Analytics using , as basis took this example (but getting data only from one account and only for one time interval) script successfully works: withing the first time code of API execution opens GA Web Site in browser, requests for authorization and approves API connection, creates analytics.dat file with store connection token inside right after that all the

Let me first say that being able to take 17 million records from a flat file, pushing to a DB on a remote box and having it take 7 minutes is amazing. SSIS truly is fantastic. But now that I have that data up there, how do I remove duplicates? Better yet, I want to take the flat file, remove the duplicates from the flat file and put them back into another flat file. I am thinking about a: Data Flow Task File source (with an associated file connection) A for loop container A script container that contains some logic to tell if another row exists Thak you, and everyone on this site is incredibly

I did a bit R&D on the fact tables, whether they are normalized or de-normalized. I came across some findings which make me confused. According to Kimball : Dimensional models combine normalized and denormalized table structures. The dimension tables of descriptive information are highly denormalized with detailed and hierarchical roll-up attributes in the same table. Meanwhile, the fact tables with performance metrics are typically normalized. While we advise against a fully normalized with snowflaked dimension attributes in separate tables (creating blizzard-like conditions for the business

with MongoDB, CouchDB and related technologies we can get faster querying so is this still valid? “A copy of transaction data, specially restructured for queries and analyses.” (R. Kimball The Data Warehouse Toolkit, 1996 I mean, do we really need to restructure our data to an OLAP scheme to query it for analysis purposes? More specifically can drill-down, slice and dice and other reporting for analysis purposes be achieved with NoSQL (NOT necessarily with OLAP modelling)? Also could we overcome the "data subset" querying limitation of OLAP and report on the whole data universe with NoSQL? In

I want to generate reports from my SQL Server tables. I have some already made stored procedures that I would like to use to generate reports from. I haven't found a way to do so. Only by rewriting the queries. Thanks :) To execute your SP in Power BI--> 1.In SQL Server right click on your SP and select Execute. Your code is executed and a new query window opens up which was responsible for execution. Copy that Query. 2.In Power BI Query Editor, select New Source-->SQL Server. After giving the server and database, in the same window click on "Advanced Options", paste the query in the "SQL