This article reviews three top open source business intelligence and reporting tools. In economies of big data and open data, who do we turn to in order to have our data analysed and presented in a precise and readable format? This list covers those types of tools. The list is not exhaustive—I have selected tools that are widely used and can also meet enterprise requirements. And, this list is not meant to be a comparison—this is a review of what is available.
The wave of enthusiasm for open source packages such places rather undermined the old rules of marketing and distribution so far performed by most traditional publishers. The BI systems or business intelligence is an area of information technology for business booming. The Open Source Business Intelligence software is now ripe for greater user satisfaction.
With version 8.2, Table will introduce a small revolution in the trend of Bring Your Own Work (BYOD) finally offering a version for Mac OSX. Tableau Desktop and make use of scarce analytical tools worn on the Apple platform ... Those who have not resigned to spend on Windows will finally be able to abandon the BootCamp, Parallel and other VM Wares!
Available for a few weeks in Beta, we had the privilege to test it: - First the good news: The Mac version quasiement reproduced identically the Windows version. I do not deny that I have enjoyed this little something different that makes Mac Mac ... However, the regulars of the Windows interface will have no problem to find their children. - Second good news: This version also includes all of the new 8.2 (new interface for connection management, storytelling, update plans ...). - Three good news: The applications developed on different platforms are fully interoperable. Develop a workbook on Mac and share it with Windows users works perfectly. - Fourth good news: Table Table Public Desktop Reader and will also be available on the Apple OS. - Five good news: For those who already use Blackboard, no need to acquire a new license. Simply install Tableau Desktop for Mac and activate your license! Little question, however, the list of available connectors is less important than the Windows version ... OLAP sources are unfortunately not available in this version. To follow in the official release and waiting for the new version of IOS implementation recently announced! Wish you could get a quick snapshot of how your company is doing? Try one of these data dashboards. There is too much data to manage these days. A constant stream of sales-management stats, website analytics, and data points from social-media sites such as Facebook and Twitter.
The following data dashboards are designed to help you make sense of it all. They do the work of crunching the numbers so that you can visualize what they mean via pie charts or trend graphs. Each of these dashboards has its own strengths--read on to figure out if one is right for your business. 1. For sales data Try Klipfolio: Designed to help you track sales campaigns, Klipfolio has its main strength in customization. You can connect up to apps such as Box (to track cloud storage), Salesforce (for seeing customer leads), and Zendesk (for customer management). For a personal touch, the dashboard lets you add your own logo and even use your own domain for hosting the dashboard. Pricing starts at about $20 per month per user, but that's if you prepay for the year. 2. For tracking everything in one place Try Ducksboard: This business dashboard is ideal for startups--it culls data from many of the apps that you're probably already using. For example, you can quickly glance at data in visual form from Tender, HighRise, Zendesk, Basecamp, MailChimp, and many others. Pricing runs about $16 per month if you pay for a year. 3. For easy setup Try Domo: This dashboard claims to integrate with the most sources of data (more than 100 apps) and boasts the easiest setup process--you probably won't need to bug your tech team to help with the data connections. Another strength is the ability to mix and match data--you can compare the results of an email campaign and paid search to actual customer aqusitions in Salesforce.com and other apps. The dashboard is available, but you have to contact the company to request access and get a price quote. 4. For scrutinizing your website's performance Try GoSquared: There's a ton of data that you can and should be collecting on your company's website: how many people are visiting, how long are they sticking around, where do they click? And this data can be overwhelming once your site starts growing. GoSquared shows everything to you in real time and using a visual interface. In fact, the design is almost artistic. Pricing is based on the site visits you receive and starts at around $240 per year. 5. For trying something new Try Grow: This new dashboard focuses on small-business metrics, and it's still in development (launching sometime this summer). The best feature is the ability to "grow" your own dashboard by important Excel files, connecting to internal databases, and then syncing with existing analytics tools (like Google Analytics) and business apps (like Salesforce.com). You can view handy charts and graphs in one place. Pricing will start at $39 per month per user but is based on user counts and other factors like custom branding. 6. For all things marketing related Try Beckon: Email marketing, tweets, Facebook posts, display ads--Beckon brings all of this data together in a cleanly designed report. The main benefit is that you can size up one campaign against another and compare cost effectiveness. Pricing varies according to company size and the number of data sources you use. What is JAXB? JAXB stands for Java architecture for XML binding.It is used to convert XML to java object and java object to XML.JAXB defines an API for reading and writing Java objects to and from XML documents.Unlike SAX and DOM,we don't need to be aware of XML parsing techniques There are two operations you can perform using JAXB
Java program: With the help of annotations and API provided by JAXB,converting a java object to XML and vice versa become very easy. Now for the Main test we will get like this: Console output: JAXB advantages:
Pentaho Schema Workbench (PSW) is a graphical tool: –To create Mondrian schemas –To publish schemas to the Pentaho Server Connect to DB The first thing to do is to establish a connection to the database –Options →Connections... The structure of a cube is hierarchical in nature and is derived from the associations between the different columns and rows of data in a data source. SAS OLAP cubes are comprised of dimensions, levels, hierarchies, members, and member properties. This structure enables you to easily select data subsets and navigate the cube structure when querying the cube. SAS OLAP cubes organize data in a hierarchical arrangement, according to dimensions and measures.Dimensions group the data along natural categories and consist of one or more levels. Each level represents a different grouping within the same dimension. For example, a time dimension can include levels such as years, months, and days. Or an organization dimension of a bank's customer service centers can include levels such as branches, states, and regions. Levels are organized into one or more hierarchies, typically from a coarse-grained level (for example, Year) down to the most detailed one (for example, Day). The individual category values (for example, 2002 or 21Jan2002) are called members. A dimension can also have multiple hierarchies to provide different sequences of groupings. For example, a "Time" dimension can have a "Fiscal Year" hierarchy and a "Calendar Year" hierarchy. Members
Each combination of values within a dimension is called a member. Some examples of members are shown here. [Time].[2003] [Time]. [2004].[January] [Time]. [2004].[February].[12th] For each dimension, there is also the special member called the ALL member, which represents the total for all members (for example, [Time].[All Time]). Not all categorical data attributes need to become a member of a hierarchy level. Some grouping information is needed only as additional information for a member or for applying subsets to data. These attributes can be loaded into member properties. Member properties can be associated with any level in a hierarchy. Measures Measures are the cube data values that are summarized and analyzed. A measure is the combination of a numeric input column with a roll-up rule or statistic. Measures are loaded from the data source that you summarize from. One input column can load one or more measures. For example, you can create the measures "Sum of Amount" and "Maximum of Amount" from the input column "Amount." Calculated Measures Not all measures are directly derived from input columns. You can create calculated measures, which are formulas that are based on the values of other measures. Calculated measures are designed and stored with the cube. The general operation of real-time applications can be summarized as:
Real-time systems are found in many application areas, such as factories , aerospace, transportation, personnel management, after-sales service, sales etc. . However, all real-time applications have in common the predominance of the time factor. Indeed, real-time applications must respond by taking into account the passage of time , this is the fundamental characteristic that distinguishes overall real-time applications for other types of computer applications.
In many real-time applications , the objective is the effective management of data in a time constraint imposed . Systems suitable for application management of this type are real-time systems (STR) because they use optimized algorithms for scheduling tasks to meet deadlines and specific channels of communications and manage time constraints. STR is a system to provide accurate data , but these data must be present with a given time interval . Indeed , according to the priority of the data , some to arrive during a specific period of time . If they arrive too early they are not used because they do not represent reality. And if they come too late , they are considered obsolete. RTS is designed to define the reactions of the latter in all cases and to know in advance whether a system will meet its timing constraints . There are three types of real-time
I'm in the way to make a search about BI in cloud that's why i would like to share with you this knowledge, and maybe we'll make this project in our school-labo so let's talk about this "new technology" . The cloud BI is a way to provide users with reporting capabilities and analysis as well as related content via Internet. Known under the term "BI as a service" or "BI on demand" mode Cloud BI involves management and outsourced deployment of all its components, usually by a third party host. Users then access to all the features and functionality of the application of BI in Cloud mode via the Web, via public or private networks. Industry experts and companies of all sizes consider cloud-based BI as a much more cost effective than traditional BI solutions or on-site option. Since organizations do not need to make significant upfront investments in software licenses and associated equipment, capital costs are minimized. All infrastructure is so purchased, installed and tested by the host which oversees and maintains all of its own installation. There are various options BI Cloud mode, including the payment of a monthly fee, based on the user and this is a letter history of traditionnel BI and what we attend to get in the future: This approach can also significantly accelerate the creation of value, since in most cases, all components are already installed at the provider of hosting services. Another advantage of the cloud-BI is greater flexibility. Organizations can add new users and new features more quickly than they would if the BI application was deployed and managed on the customer site. The environment may change at any time, and the expectations without the need to add more IT staff for support.
So about this topic and we will implement all a platform in our Cloud BI system in our laboratory of the school and so far we are in the phase of making a design "architecture", so we can give to our enterprise and our customers the opportunity to use this technology at low prices all of collateral functionality of mode BI for they can overdraft and take advantage of this solution. Since I wrote this blog, it seems never to have presented in detail the real Mondrian (Open Source course fashion!) It was finally time to remedy this :) To understand the features and characteristics of Mondrian must master some basic concepts of multivariate analysis and associated terms: concept cubes, modeling star and snowflake, fact tables and dimensions, measures, hierarchies, levels, members, ... Architecture Mondrian is an OLAP engine (Online Analytical Processing) written in Java by Julian Hyde, which enables the design, publishing and querying multidimensional cubes. Mondrian allows the execution of queries in MDX on data warehouse based on SGBDR, where his characterization of "ROLAP" (Relational OLAP). In terms of ROLAP, Mondrian is the open source reference. Mondrian allows access to the results in a multidimensional format understandable presentation API client side, most often in Web mode, for example JPivot, Pentaho Analyzer, Pentaho Analysis Tool, Geo Analysis Tool (GAT) Mondrian is based on OLAP modeling standard and can connect to any data warehouse designed in the rules of the art Business Intelligence. It is interesting to note that the Mondrian OLAP component is used by most suites including Pentaho Open Source BI, JasperServer and SpagoBI. The characteristic features of the architecture presented above are the following:
Functional Characteristics Mondrian characteristics are as follows:
Functional Characteristics Mondrian characteristics are as follows:
Pentaho Schema Workbench Pentaho Schema Workbench is a rich open source client (written in Java) that allows you to create diagrams of cubes without having to know XML syntax Mondrian. This tool has an advanced interface to perform the following actions:
Finally :
Wait for me for more demonstaration about Pentaho Schema Workbench stay connected :) |