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I m looking at creative solutions for reporting, I have an app and now i need to create some reports from it.
I would be led to believe that the customer will be happy enough with excel reports, however what I want is that they have the freedom to create the reports themselves, without any help from development, so i need something simple yet powerful ( fun to work with would be a plus :) )
I use MS SQL Express.
Web or desktop deployment: it doesnt make any difference
Licensing costs Ideally none as its a very small operation
Open Source: preferred
Metadata modelling: none
Handle large amounts of data: not really, in the 100k records
large numbers of concurrent users: not really, 1 or 2 users
I remember I read about an csv solution somewhere but I cant remember if it came with a reporting engine of some sort
Thanks for your ideas
Allowing users to generate their own reports would be wonderful, but for anything beyond a simple report, this quickly require basic database skills. I've never seen a user-accessible report designer that users could actually design reports of any complexity with.
You're better off providing two things:
The most obvious reports with some filtering/sorting options. Common ways to do this are with Crystal for a desktop app or SQL Server Reporting Services for a web app.
The ability to export raw data to Excel. Office skills are far more common in most user groups than database skills. Your users will have a better chance of creating a report with an Excel chart than they will have of working through any report designer I've ever seen.
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I am planning to transfer my actual project from PowerApps to an web application and learn a programming language at the same time.
As the selection is very big, I can't decide which language would meet all requirements and what would be the best to learn (also for the future projects maybe); PHP, Python, Java, etc.
The application has the following features:
PDF: uploading, managing and drawing of PDF files in a window, also generating of PDF files with API with the input data
simple data input/output (forms or templates) and showing the data later to another users
taking photos / uploading of photos directly to the form for the later use
some basic dynamical data presentation
pop-ups; if something is typed, show some data according to the string, etc.
automatic generation of e-mails with selected data / typed string(s)
and so on...
Basically, I'd like to transfer and create the possibilities of PowerApps to the standalone web-project-application. As I got some experience with PowerApps already, it would be nice to make myself independent and learn some real programming language with a MySQL connected to the project.
Could you please help me to choose?
Thank you and best regards,
Rivisde
PowerApps, MySQL basics, general understanding and logic of programming, Debian-Server management, PHP small basics
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I've a project where employees would have to report using the app so basically there will be following features in app login, reporting and only view the products of the company through app.
Now, the problem is that I need to import loads of employee data and that's where I am getting confused because I know how to import data from CSV files to SQL DB but I don't have any idea about how to do the same in firebase.
Also I couldn't figure out the pricing difference between both which one would be more feasible in terms of price ?
If possible please try to generalize the answer in two parts :
Pricing
Ease of use on basis of functionality provided by respective packages at pub.dev
So guys, which DB shall I use for it ? SQL or firebase as per my requirement ?
It would be really helpful of y'all if anyone can guide me through some insightful links to blogs or articles which can guide me in setting up a proper backend for my flutter app.
Thanks !
Using firebase would reduce a lots of hard work, using firebase you can continuously listen to changes made in the database because it provides you a stream of data and subscribing would refresh your data in the UI automatically, futther more its price is reasonale and you can pay as much as you use.
But as per your requirement you should use SQL, because storing employee data in a RDB is much more maintainable than firebase or any other NoSQL db.
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I'm using mysql for my database needs and the total size is ~1.5 TB.
I'm looking for a Business intelligence tool which gives me an interface to fetch reports in any desired format to help decision making. The user shall be able to sum, sort, count, sum in various ways.
I don't know what shall I do about it.
In the past few days, I've read dozen of articles and watched many videos about Bigdata, hadoop, BIRT, Solr, Cassandra, mongodb, noSql and just everything that popped in search suggestions for my queries on BI but can't decide what's the right tool for me.
Is there a tool available to help me with my Data reporting and visualizing needs?
Did you read about Tableau (http://www.tableausoftware.com/)? Its a very nice data visualization tool (though not free but worth it) and can connect to various data sources (mysql, hive etc). Also it provides options to do all such operations you mentioned. It will be worth to evaluate it once.
It provides a 15 day free version. You can try out and see if it fits your needs.
Try Google Big Query, it should solve your issue
https://cloud.google.com/bigquery/
For syntax, please refer
https://cloud.google.com/bigquery/query-reference
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As part of a recent programming project I compiled a database, the contents of which may conceivably be of use to someone else one day. I'm looking for the best way to 'open source' the data.
I could (and probably will) upload the SQL onto GitHub, but was wondering if anyone had found a more 'data-centric' way of sharing - maybe a website that makes it easy for users to browse/query/visualise/improve data sets, rather than just giving them a big lump of SQL.
To clarify, I'm looking for a place where I can share the data, rather than a format in which to share it - ideally a data-set equivalent of GitHub/Sourceforge.
The data is relatively small (a few thousand lines of SQL) so the volume should not be an obstacle.
I'm a big fan of Amazon's S3 for stuff like this. And if your data set is interesting enough, maybe you could publish it with InfoChimps.
I have worked with a lot of data from different companies. Most often this data has been in text delimited data format. The most popular of course being comma separated or tab. Using comma's is often a good choice because MySQL can also export and import CSV. Here is an example:
id, first_name, last_name, address
1, John, Smith, 11222 Stree Name
Google Fusion Tables ticks some of these boxes, although the emphasis seems to be on visualisation (I haven't used it, so this may be unfair). I am also reluctant to commit too heavily to any second-tier Google products these days, since they have a habit of disappearing.
You could export it to XML, that being probably the most compatible data format, although it is rather verbose. Another solution is OData, but this implies hosting the data and the platform that serves the data which may not be desirable.
Sparkfun is another possibility, it seems to be mainly targeted at real-time data sources but they offer free storage and the platform is open-source so you can host your own server.
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Is there any web service to analyze big data sets and plotting graphics like in Excel? I need something simple, efficient and with web GUI.
Google Fusion Table might be a candidate for your choice.
Google Docs also can be your choice, if you just want simple Excel-like graphics.
If you want to have more controll over the analysis (not just using Excel as a table editor), you can try analytic tools like BellaDati (https://service.belladati.com/login). It is still free for personal use.
Google Fusion Table is good for data mining but not analysis and createing charts. Bi software creates good summary charts/pivot tables etc. not scientific charts. What kind of data you want to analyse?
Peter
Web Pivot Table is this kind of tool you could give it a try. It can connect to CSV files or OLAP Cubes and do any pivot operations just like excel. It is web based and totally run inside browsers.
And it is pure javascript implementation which can be easily embedded into any web application as a component.
Here is demo and documents.