Talend is having the concept of Context Variables; we can access them anywhere in our jobs once it is created. These context variables are as same as global variables in a typical Java Application. Depending on the circumstances the Job is being used in, we might want to manage it differently for various execution types (Production and Testing). These context parameters are mostly context-sensitive variables which will be added to the list of variables available for reuse

Gaming companies typically measure ARPU as the total monthly revenue divided by the total numbers of subscribers. ARPU (Average Revenue Per User): This a metric used to measure how much a game is earning per player, usually on a monthly basis; in this case it is calculated by dividing the monthly revenue by the number of monthly active users. ARPPU (Average Revenue Per Paying User) is a related metric that is calculated by dividing the amount of revenue by the number of playe

MAU (Monthly Active Users): The number of players who have interacted with a game in a given month (30 days). How an “active user” is defined is the key to how MAU is measured and interpreted. If a user plays a game once in the past 30 days or signs up for a subscription but does not engage in the game, is that considered an “active user”? A user who logins multiple times in a 30-day period, may be having trouble using the app and these “activities may not be creating any va

The main functionality of tRESTClient component sends HTTP and HTTPS requests to a Representational State Transfer (REST) Web service provider and gets the corresponding responses. This component integrates well with Talend Runtime to get HTTPS support, with more QoS features to be supported in time. Purpose: The tRESTClient component is used to interact with RESTful Web service providers by sending HTTP and HTTPS requests using CXF (JAX-RS). Basic and Advance setting for tRE

Row Connections The row form of actual data can be process to next component using below. Trigger The row form of actual data can be process to next component using below.

Custom Component tJava: This component can be use as trigger component, at start of the job at end of the job. tJavaRow : this component required main flow so it can be used at end of the Sub Job but not at the start of subjob. tJavaFlex: this component holds capabilities of tJava & tJavaRows you can use this component for row generation, or at start of job, or at the end of sub job. or individual subjob. It gives you ability to auto propagate data. Operational usage for eac

Demographic Analytics provide insights into a customer or users information relating to gender, age, geographical location, affinity and more. Demographic Analytics data is collected mainly from third party web, cookies and identifiers from mobile apps. Collecting this type of information is essential to understanding who the customer is and how they are most likely to behave on your web or gaming site. Typical Demographic Analytics focus on 5 main areas: Age - identifies an

Clickstream data is the recording of a user’s behavior while they are on a webpage or application. Which parts of the screen do they click on, how long they stay on a specific web page, which pages they view the most, purchasing behavior and more. Clickstream data on a Gaming site provides a wealth of insight into a user's behavior. The process of collecting, analyzing and reporting this aggregate data is called Clickstream analysis. All Gaming companies can benefit on a mult

What is Cost Per Acquisition (CPA)? Understanding this metric and it's variables is extremely important for the lifetime of a Gaming company. If a company does not have an understanding of it's CPA, it won't be able to accurately calculate budgets and profits. Cost Per Acquisition (CPA) This metric calculates the cost of a user action, such as a game download, app download, acquisition etc....CPA is calculated by the total cost is divided by the amount of user actions. Moder

Data Analytics Data driven analytics is becoming the key to an organization's success. Companies that utilize this information are able to better serve their customers, stay ahead of the market, and even reduce fraud. In today's data driven business climate, customized analytic from real time and batch datasets are used to create dashboards and visualization tools that provide insight to help companies make informed and innovative business intelligence decisions. At Pacific