User screencasts - Data360_DQ+ - Latest

Data360 DQ+ Help

Product type
Software
Portfolio
Verify
Product family
Data360
Product
Data360 DQ+
Version
Latest
Language
English
Product name
Data360 DQ+
Title
Data360 DQ+ Help
Copyright
2024
First publish date
2016
ft:lastEdition
2024-07-09
ft:lastPublication
2024-07-09T15:09:58.774265

Introductory content

Introduction to Data360 DQ+

Provides a system overview of using Data360 DQ+ for Big Data processing.

Acquiring your data

Provides an overview of using data stores to acquire data.

Preparing your data

Provides and overview of using data views and analyses to prepare data.

Analyzing your data

Provides an overview of using analyses, dashboards, and the Data360 DQ+ visualizer to analyze data.

Acting on your data

Provides an overview of using Data360 DQ+'s collaboration features to act on data.

Operationalizing your data stages

Provides an overview of using process models to operationalize data.

About Pipelines

Provides an overview of using data stages within pipelines.

Data stores

External Data Stores

Explains how to create an external data store to access data already stored on Amazon S3.

Upload files to Data Store

Explains how to upload a file directly from your computer to create a data store.

Linking Data Stores

Explains how to link multiple data stores so that they can be used together in a data view.

Enterprise Edition Data Stores

Discusses the different data store types that are available when using the enterprise edition of Data360 DQ+.

Analyses

Join and Group By Analysis

Covers the basics of using the Join and Group By Enhance nodes in an analysis.

Data Enhancement Analysis

Covers the basics of Data Store Inputs/Outputs and multiple Enhance nodes, including: Select, Rename, Sort, Filter, Union, and Distinct.

Intro to Co-Group and Flatten

Introduces the some of the Analysis Designer's more advanced enhance nodes, Co-Group and Flatten.

Using the Bin node

Shows how to use the Bin Enhance node, to categorize numeric values within a given range.

Intro to the JavaScript node

Introduces the JS Enhance node, which enables custom scripting.

The In and Not In nodes

Compares the In and Not In Nodes, which combine aspects of the Join and Filter nodes.

Sampling in an Analysis

Discusses the Sampling Node, and discusses how it is different from the Sampling Data for Testing settings found in analyses.

The Auto Number node

Shows how to give a unique row number to each record in a dataset and persist these numbers in a field.

Reshaping a dataset

Demonstrates the Reshape Node, which can pivot columns to rows or rows to columns.

The Split node and line parsing

Introduces the Split Node, and how it uses Regular Expressions to parse fields. Also shows how to set up a Data Store as a single field that contains a line to parse.

The SQL node

Shows how to implement SQL within an analysis, using the SQL node.

The Execute Query in DB node

Introduces the Execute Query in DB Node, which allows you to query an external database using parameterized values from other nodes.

The Profile Data node

Introduces the Profile Data Node, which allows you to generate information about a field in your data set.

The Completeness Check node

Introduces the Completeness Check Node, which allows you to check field values for predefined and custom conditions.

The Consistency Check node

Introduces the Consistency Check Node, which allows you to check values from multiple fields at once for custom conditions.

The Timeliness Check node

Introduces the Timeliness Check Node, which allows you to determine whether the time interval between two Date fields is acceptable.

The Value Conformity node

Introduces the Value Conformity Node, which allows you to determine whether values from a data set match specific values or fall within a range of values.

Analytics

Overview of Analytic Models

Provides a broad overview of analytic models and the analytics nodes, which enable machine learning.

Overview of Segmentation

Introduces the basics of creating a segmentation model to cluster a dataset.

Overview of Classification

Walks through the basic work flow of training, evaluation, and scoring a classification model.

Overview of Forecasting

Shows how to forecast future values on time series data. Also introduces a method for splitting data into training and validation sets.

Overview of Recommendation

Walks through the basics of creating a model that can recommend new products to users.

Data views

Creating a Data View

Explains how to create a basic data view, to enable visualization of data in dashboards.

Secure Fields

Discusses using secure fields in data stores, data views, and dashboards.

Dashboards

Create First Dashboard

Provides an introduction to creating your first dashboard to visualize data.

All About Filters

Discusses the different ways filters can be used when building and using dashboards.

Building Stacked Charts

Shows how to create a stacked bar chart, to visualize multiple series at once.

Including Charts in Tables

Shows how to include charts as elements in your tables/data grids.

Using Placeholders

Shows how to include placeholders in text dashlets, which can hold dynamic data values.

Including Web Portals

Shows how to use the web content dashlet, to add a web portal to a dashboard.

Drilling to Another Dashboard

Shows how to make drillable charts link to other dashboards when clicked.

Using Geo Fields

Shows how to include geo fields in a data view for use in dashboards with maps.

How to Make a Heat Map

Discusses the heat map charting type, which can be used to visualize multiple attributes at once.

How to Make a Tree Map

Discusses the tree map charting type, which can be used to visualize multiple attributes at once.

Time Series Charts

Discusses the time series charting type, which is useful when trying to represent chronological data.

Window Functions

Introduces window function computations, by going over an example of rolling sum.

Waterfall Charts

Shows how to create a waterfall chart, to visualize cumulative values.

Charts for Stock Data

Shows how to build candlestick and open high low close charts, which are available within the time series charting option.

Dashboard controls

Overview of Controls

Provides a basic overview of building controls to monitor your dashboards.

Western Electric and Nelson Rules

Discusses control charts' predefined rule sets, Western Electric and Nelson.

Expression Thresholds

Explains expression thresholds. which allow you to create simple expressions to monitor dashboard measures.

Multipoint Thresholds

Shows how to create multipoint thresholds, which allow you to apply a threshold to a series of points.

Visualizer

Customizing chart properties

Shows everything that can be done with the properties button, to customize the look and feel of your charts.

Query criteria and thresholds

Discusses how to limit the amount of data queried from a data view and set color coded thresholds on charts when visualizing.

Showing details

Discusses how to show data details when using any type of clickable chart.

Brush select and zooming

Provides useful tips for chart navigation, and explains the difference between brush select and zooming.

How to create a shared axis

Shows how to enable the shared axis option, when visualizing multiple computations at once.

Bubbles and other charting options

Shows how to change charting display types, by clicking on a chart's computations.

Using Gauges

Discusses use of the gauge charting type.

Process models

Basic Process Model

Introduces process model building, by automating the execution of a single data stage.

Understanding Gateways

Discusses the exclusive, inclusive, and parallel gateways - all of which can be used to program the flow of process models.

Connecting Process Models

Discusses use of the execute process task to connect multiple process models.

Property Reference Variables

Shows how to pass node variables across a process model, using property reference variables.

Notifying from a Data Store

Discusses using the notify from data store task, which can use a data store field to craft a message to be sent to users.

Case stores

Intro to Case Stores

Provides a brief introduction to the concept of a case store, which, once defined, can enable case management.

Building a Case Store

Shows power users how to build out a case management UI for case work.

Using a Case Store

Shows case workers how to use the case management UI.

 

For a list of screencasts that cover administration topics, see Administrator Screencasts.