What's changed? - Data360_Analyze - 3.12

Data360 Analyze Server Help

Data360 Analyze
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Data360 Analyze
Data360 Analyze Server Help
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Data360 Analyze combines the functionality of BRE, Logistics Manager and the Lavastorm Explorer — collectively known as the Lavastorm product or the Lavastorm Analytic Engine (LAE) — into a web application that provides a comprehensive solution for agile data management and analysis, allowing you to build analytic applications that can be shared across teams with other Data360 Analyze users.

The following table provides an overview of the exciting new features and usability improvements in Data360 Analyze:

Feature Description

Script-free nodes

Data360 Analyze ships with a number of script-free nodes that you can configure without entering any code. These easy-to-use nodes allow you to complete common tasks more easily. For example, the Aggregate, Filter, Sort, Split and Join nodes are now script-free.

Data360 Analyze also includes the new Calculate Fields and Modify Fields nodes. The Calculate Fields node allows you to create new fields by performing calculations on input field values. The Modify Fields node allows you to modify field metadata. You can:

  • Select input fields to include in, or exclude from, the output.
  • Rename input fields.
  • Change the data type of input fields.
  • Reformat the field output value.

For more advanced tasks, you can use Python script to achieve greater flexibility when configuring the nodes.

See Supported nodes.

BRAINscript to Python

One of the major enhancements of Data360 Analyze is the transition from the proprietary BRAINscript language to the widely used Python language. Many of our nodes that previously used BRAINscript have been superseded by new Python-based nodes. Our aim is to reduce the learning curve for new users by using an industry standard programming language. The Python-based nodes also deliver improved performance when handling larger data sets.

Although the superseded nodes are still available for backwards compatibility, it is recommended that you now use the new Python-based nodes.

See BRAINscript to Python.


To simplify and improve the understanding of the functionality of Data360 Analyze, we have introduced some terminology changes. For example, "data flow" is the new name for "graph".

For a list of other terminology changes, see Terminology changes.


When you launch Data360 Analyze, you are taken to the Directory screen. The Directory lists all of your data flows, library nodes (reusable components) and schedules (automated data flow runs) that you have created and imported.


When you create or open a data flow, you will be taken to the Designer screen. From the Designer you can build, interrogate, troubleshoot and run your data flows.

Data viewer

The BRE data viewer and Data360 Analyze data viewer provide different but overlapping feature sets. For example, the Data360 Analyze data viewer provides a single multi-tab view of selected data sets within the browser UI, whereas the BRE data viewer provided individual windows for each data set. In Data360 Analyze, the data viewer displays up to the first 1000 rows of data. You can export the entire data set (not only the first 1000 rows) to an external CSV file.

Data quality indicators

Colored data quality bars are displayed on each column in the data viewer, enabling you to quickly identify any fields that may contain low quality data. The length and color of the bar indicates the quality of each field of data. The data quality bar can also be clicked to display a histogram of the data values in the field and a number of statistics on the (sample) data shown in the data viewer (e.g. min, max, average, Std Dev, etc).

Improved database connection

The JDBC nodes have been enhanced to simplify the process of connecting to an external database. Additionally, a number of JDBC drivers are shipped as part of the Data360 Analyze installation.

Cloud storage connection

Data360 Analyze includes new nodes that enable you to easily integrate your data flows with Microsoft Azure containers, AWS S3 and Google Cloud Storage buckets.


Schedules can be created within Data360 Analyze, allowing you to easily schedule an automatic run of your data flow at specified times and intervals.

Scheduling is available with the Desktop Automation license, as well as on Data360 Analyze Server editions where you can enable the scheduled execution of data flows in a multi-user environment.

Node libraries

In Data360 Analyze, the concept of exporting a node library as a container for reusable nodes no longer exists. Instead, you can create library nodes (reusable components) to share with others to deliver repeatable results.

Filter node

In Data360 Analyze, the "Filter" node is a new script-free node that allows you to easily filter data records. The Data360 Analyze node that has the same functionality as the LAE "Filter" node is called the "Transform" node.

Clocks and events

You can control the order of node execution, outside of the basic left to right structure of your data flow, by adding wait or re-run dependencies (clocks and events) to your nodes.

In Data360 Analyze, you can add a new clock or event by selecting the nodes that you want to create the dependency between, right-clicking, and selecting the required option from the context menu.

Marquee select

To select multiple nodes on the canvas, press and hold the Shift key while dragging over the nodes.

Integrated help

The integrated help can be accessed directly from within Data360 Analyze, including direct links from the Properties panel to specific node help topics.

Excel File node

The Excel File node now attempts to determine the data type of the imported fields and assigns the most appropriate Data360 Analyze data types. For example, if an input field contains integer and decimal values, the node will assign a double data type to this field.

If you are working with data flows created in earlier versions of the product, to avoid any incompatibility issues with the Excel File node, you may want to revert to the previous behavior, where all fields from Excel files were output as either string or Unicode types. To revert to this behavior for a specific Excel File node, set the DetectFieldTypes property to False and leave the DefaultType property blank (default).

Or, to revert to the previous behavior for all Excel File nodes, copy the following text into your cust.prop file: ls.brain.node.excelFile.inferTypes=false

Directory List node

The Directory List node now outputs Unicode type data rather than string data.

Similarly, the CSV/Delimited Input node, which has replaced the deprecated CSV File and Delimited File nodes, also outputs Unicode type data. For a full list of deprecated nodes, see Deprecated nodes.

Data360 Analyze Server

When using Data360 Analyze Server there is no client-side install required - the browser is used to access the Data360 Analyze web application.

The LAE Explorer client functionality is now delivered by applying the appropriate role to the user's Data360 Analyze account.

Connection points

You can import legacy data flows that contain Bundlers, Unbundlers and Bypasses, and these are displayed in Data360 Analyze as connection points and connection filters. These will continue to work without any additional configuration, however you can choose to recreate connection filters to use the new improved filter mechanics.


Tooltips that were added to boxes in BRE will not show in a tooltip in Data360 Analyze.

Note: It is not possible to create or edit boxes with Internet Explorer. Note that Internet Explorer is no longer a supported browser from version 3.6.0.

The following features are not yet part of the Data360 Analyze product, but you can import legacy graphs that contain them:

Feature Description

User-generated documentation

You can create new node properties and define the tooltip text to be displayed when you hover over the property in the Properties panel.

In BRE, it was also possible to generate new node help and to define functional documentation to be displayed in a tooltip when you hovered over a node on the canvas; these types of user-generated documentation are not currently possible in Data360 Analyze.

Run properties

Node execution

In Data360 Analyze, when executing a subset of nodes on the canvas, you cannot add a node to an existing execution session (unlike with BRE).

Server connection

LAE supported the ability to connect the BRE client to different server instances. In Data360 Analyze, you simply log into the relevant instance in a browser tab.

Meta Check node

The 'ClockWithPropagate’ option is not supported on the Meta Check node in Data360 Analyze.
Note: You cannot enable or disable a node by using a run property to reference a Boolean (True/False) value. To configure the Enabled property of a node, you can either choose True or False, or you can reference a data flow property which will be evaluated to a True/False value.