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Community Manager
GoodData SupportCommunity Manager
published in About GoodData

Phishing alert

We have recently received reports of fraudulent recruitment activities through WhatsApp messages and several websites, including “www.gooddata-aim.com” and “www.gooddata-senna.com” impersonating GoodData Corporation and its recruitment team. The impersonators may also be using other websites that GoodData is not aware of at this time.Please note that there is no affiliation between GoodData Corporation and the messages or websites mentioned; all GoodData related sites use only the "gooddata.com" domain.Do not provide any personal data or submit any payments through the websites under any circumstances.Should you receive any communication from the fraudulent site, please report it to us immediately by forwarding it to security@gooddata.com.We are taking all necessary steps to get this issue resolved.Thank you for your understanding!

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Community Manager
11 months ago
G
Community Manager
GoodData SupportCommunity Manager
published in Administration - KB articles

GD CN: How to see who deleted an object in your workspaceF.A.Q.

If an object is deleted from your GoodData CN workspace, for example: A measure, insight or a dashboard - and you would like to see who deleted the object, you can check the logs from the metadata-api containers and look for log records with method="DELETE" Then matching the relevant object ID:uri="https://{organizationHostname}/api/v1/entities/workspaces/{workspaceId}/metrics/{objectId}From there you will find additional data in these records, namely userId and remote (ip address). If you are interested in GoodData.CN, please contact us.Alternatively, test a trial version of GoodData Cloud:Start Your GoodData Analytics Trial — Commitment-Free

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Community Manager
1 year ago
G
Community Manager
GoodData SupportCommunity Manager
published in Data models - KB articles

How-To: Display Null or Missing Values

How the Platform WorksThe GoodData platform is designed to perform inner joins between datasets for metric/measure calculation. Here’s an example of what this looks like: Say we have the following datasets and fields in the LDM:Test Dimension Data Values:Test Score Data Values:If we wanted to view all SUM(Score) by Test Type, only Test Types with scores will appear:If you wanted to view all Test Types, regardless if they have an associated record in the Test Score table, there are two ways to display these values: apply a metric definition change for a single dimension you want to join against or generate the missing rows in the ETL. Option 1: Metric change for a single dimensionIf there is a single dimension you would like to compare the measure against (i.e. Test Dimension), you could modify the measure to simulate a LEFT OUTER JOIN from that dimension to the fact.  Previous Measure:SELECT SUM(Score) Modified Measure:SELECT IFNULL(SUM(Score),0)  + 0 The missing records will be popula

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Josh Collins
2 years ago
G
Community Manager
GoodData SupportCommunity Manager
published in Administration - KB articles

GoodData.CN: Collecting Diagnostics - Support bundleTutorial

IntroductionIn case of an unexpected situation with GoodData.CN Growth and Enterprise which you are not able to resolve, you may be asked to provide logs from your Kubernetes cluster for investigation of the issue.This guide describes how to gather the logs using open source application, written by Replicated. You can find the source code in this repository and documentation here.Sensitive data like secrets are not collected. Other potentially sensitive data (usernames, passwords, IP addresses) are redacted.PrerequisitesInstall krew plugin for kubectl:curl -s https://krew.sh/support-bundle | bashSet PATH for the krew plugin: export PATH="${PATH}:${HOME}/.krew/bin"Run support bundleUse attached YAML file and run it inside your Kubernetes cluster kubectl support-bundle <PATH to yaml file>Collect the resultsYou will find a new file support-bundle-<<TIMESTAMP>>.tar.gz in the current directory. Send this file to GoodData support, when requested.NoteThis guide is not applic

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Community Manager
2 years ago
G
Community Manager
GoodData SupportCommunity Manager
published in Solution architecture - KB articles

Basics of Data Permissions: Use Cases

Basics of Data Permissions: Use Cases This article will review the basics of data permissions and how it works in the GoodData platform. Data permissions control what data a user can access in their GoodData workspace. This is incredibly useful for many of our clients as a single workspace can host a variety of users who need different data permissions applied.  Let’s start by describing an example of an application of data permissions. Imagine you have sales analytics in a GoodData workspace for a single client. Your clients have different sales regions (i.e. East and West) and a sales manager from one sales region cannot view the sales from another region. To solve this, we can apply data permissions on the users based on sales region.  Data Permissions Filter Rows Data permissions in GoodData are row-level filters. This means that users can only see relevant data records with their assigned data permission. Similar to a dashboard filter, think of the data permissions as a user speci

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G
Community Manager
3 years ago
G
Community Manager
GoodData SupportCommunity Manager
published in Data models - KB articles

Using Date Dimensions in GoodData

Dates are an incredibly useful way to analyze your data. Here are some simple use cases:Event Based Reporting: In a sales model, we can use dates like the date the order was purchased or the date the order was delivered to look at how many sales the company has earned over time (year over year sales analysis, quarter goal vs sale analysis, etc.)Snapshot Reporting: We can analyze how many active users accessed a website every week using a snapshot date (an As-of date that shows number of active users on that date) Date Dimensions in GoodData GoodData Date Dimensions are prepackaged attributes that support every day of the year between 1900 and 2050. The date dimension associates every day with a calendar week, month, quarter and year. These different granularity associations can be pulled into insights as date attributes.Here is a visual representation of the hierarchical attributes associated with Date(Closed):   In this example, we are looking at a Salesforce LDM with Opportunity ID,

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N
3 years ago
G
Community Manager
GoodData SupportCommunity Manager
published in Metrics and MAQL - KB articles

Getting Started with MAQL as a Freemium User

Metric Creation for KPIs and Analytical Dashboard MAQL (Multi-Dimension Analytical Query Language) is used to create robust metrics for KPIs and Analytical Designer. MAQL is a query language that you can use to build metrics (aggregations of the data). Before you get started, you should know that: Metrics always return numerical values. Metric can only return value based on some dimensionality/context in which it is executed Metrics in MAQL start with the keyword SELECT.A simple aggregation function looks like the following where Quantity is a fact:SELECT SUM(Quantity)  Custom Metric EditorThe Custom Metric Editor is a graphical user interface tool that guides you through creating your own metrics in MAQL. Consider this the “control center” for making, editing, and testing MAQL functionality. How to Access the Custom Metric EditorYou can access the Custom Metric Editor through the Manage tab. On the Manage Page, select Metrics on the left hand panel under ‘Data’. Steps: Navigate to

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G
Community Manager
3 years ago
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