Data Intelligence

Automated Governance – Agile Data Governance Attribute (3/5)

Actian Corporation

June 3, 2019

automated data governance

The weak maturity of data governance projects necessitates the implementation of good practices and feedback loops to constantly monitor and verify the validity of management rules on your data asset.

The following articles explain the characteristics of a data governance labeled as agile in order to:

1. Be as close as possible to your enterprise’s operational reality.
2. Adapt to your enterprise’s context and not the other way around.
3. Accurately reflect your data assets.
4. Unify and involve your collaborators.
5. Respond to changes quickly.

Implementing data governance must begin by referencing, indexing, and evaluating your organization’s data assets. Building such an artifact by only using human intelligence is rarely successful, given the resource constraints. Therefore, it is necessary to maximize automated processes regarding the extraction and collection of information related to the data in your organization.

With the help of artificial intelligence algorithms or machine learning, it becomes possible to interpret, contextualize, and give more meaning to your data assets.

With the help of artificial intelligence algorithms or machine learning, it becomes possible to interpret, contextualize, and deduce a more precise meaning from your data asset. This automation allows your data managers to avoid the blank paper syndrome and, freeing them from tedious and repetitive tasks, increases the support from as many people as possible for your initiative to implement data governance within your company.

Finally, this automation became a necessity in the new era where the volume and the variety of systems exploded. The maintenance and updating of this information repository are crucial to reflect the reality of your IS data. With the help of incremental analysis, which frequently and automatically processes your data, you will gain a high-value metadata repository added for your data consumers.

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About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale, streamlining complex data environments and accelerating the delivery of AI-ready data. The Actian data intelligence approach combines data discovery, metadata management, and federated governance to enable smarter data usage and enhance compliance. With intuitive self-service capabilities, business and technical users can find, understand, and trust data assets across cloud, hybrid, and on-premises environments. Actian delivers flexible data management solutions to 42 million users at Fortune 100 companies and other enterprises worldwide, while maintaining a 95% customer satisfaction score.
Data Intelligence

Non-Intrusive Governance – Agile Data Governance Attribute (2/5)

Actian Corporation

June 3, 2019

non intrusive governance

The weak maturity of data governance projects necessitates the implementation of good practices and feedback loops to constantly monitor and verify the validity of management rules on your data asset.

The following articles explain the characteristics of data governance labeled as agile:

1. Be as close as possible to your enterprise’s operational reality.
2. Adapt to your enterprise’s context and not the other way around.
3. Accurately reflect your data assets.
4. Unify and involve your collaborators.
5. Respond to changes quickly.

Enterprises consider that the classic approaches to Enterprise Data Management (EDM) require all parties involved to adopt a certain number of tools and procedures that can burden the processes of data discovery, thus becoming an obstacle to innovation. In a world where the variety as well as the volume of data is exploding, where new tools for data storage and processing ceaselessly pop up, a much more reasonable approach exists.

It is a means to give freedom to your collaborators to use tools more adaptable to their uses, whether it is to generate or to access datasets, of course, according to their authorized level.

This approach aims to centralize the knowledge that your collaborators have acquired from their datasets in a “data catalog.” The objective is to collect and aggregate the metadata of your created or updated datasets from your tools and storage systems. It is from these platforms, unrelated to operations, that data governance can be executed without interfering with the daily work of your collaborators.

This non-intrusive method of addressing data governance calls for the enterprise to move forward little by little. Experiment with and adjust your management rules on data and its metadata gradually so that you can establish a curation of your data assets.

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About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale, streamlining complex data environments and accelerating the delivery of AI-ready data. The Actian data intelligence approach combines data discovery, metadata management, and federated governance to enable smarter data usage and enhance compliance. With intuitive self-service capabilities, business and technical users can find, understand, and trust data assets across cloud, hybrid, and on-premises environments. Actian delivers flexible data management solutions to 42 million users at Fortune 100 companies and other enterprises worldwide, while maintaining a 95% customer satisfaction score.
Data Intelligence

Bottom-Up Governance – Agile Data Governance Attribute (1/5)

Actian Corporation

June 3, 2019

bottom up governance

The weak maturity of data governance projects necessitates the implementation of good practices and feedback loops to constantly monitor and verify the validity of management rules on your data asset.

The following articles explain the characteristics of a data governance labeled as agile to:

1. Be as close as possible to your enterprise’s operational reality.
2. Adapt to your enterprise’s context and not the other way around.
3. Accurately reflect your data assets.
4. Unify and involve your collaborators.
5. Respond to changes quickly.

The implementation of data governance must avoid pitfalls, all too often seen in the past via a top-down approach.

This type of descending approach wants objectives and instructions to be set by management and then implemented.

This project leadership, like software development in recent years, has proven to be too hierarchical and bureaucratic, uncorrelated to the realities on the ground and, therefore, the data held by the company.

We recommend a bottom-up approach in the field, in the operational sense, to progressively consolidate a synthesis and to maintain a data governance management that corresponds to the real context of your enterprise.

We define bottom-up data governance as:

  • A democratic approach rather than a hierarchical one.
  • A willingness to solve problems created fluidly rather than by imposing more structure.
  • A “bureaucracy” reduced to a minimum to facilitate its implementation and its maintenance (a prevailing work principle at Spotify called, “Minimum Viable Bureaucracy”).
  • An active collaboration amongst stakeholders in favor of ownership and the collection of information on the organization’s data.
  • An autonomy of collaborators in the choice of tools and the manner in which they organize themselves.
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About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale, streamlining complex data environments and accelerating the delivery of AI-ready data. The Actian data intelligence approach combines data discovery, metadata management, and federated governance to enable smarter data usage and enhance compliance. With intuitive self-service capabilities, business and technical users can find, understand, and trust data assets across cloud, hybrid, and on-premises environments. Actian delivers flexible data management solutions to 42 million users at Fortune 100 companies and other enterprises worldwide, while maintaining a 95% customer satisfaction score.
Data Integration

Connecting to Actian Data Platform From Denodo via JDBC

Actian Corporation

June 1, 2019

mountainscape

The Actian Data Platform (formerly known as Avalanche) is the world’s fastest analytic data warehouse delivered as Software as a Service (SaaS). It has been designed for simplicity and doesn’t require any complex tuning to deliver consistent real-time performance for even the most challenging queries.   

The Actian Data Platform is standards-based, supporting the latest SQL, ODBC and JDBC standards, which enables it to fit into any existing data eco-system easily. 

This post shows how to connect to the Actian Data Platform from Denodo, using either the Actian Avalanche ODBC or JDBC driver.

If you have not done so already, you will need to put  your IP addresses on the Allow List in the Actian Data Platform console (Manage > Update Allow List IPs).

 

If this is the first time you are attempting to connect to Actian Data Platform and you have not set password, you must do that in the Actian Data Platform  Console (Manage > Set Connection Password).

Here is how to create a database connection from Denodo to Actian Data Platform.

First, start Denodo Virtual DataPort Server from the Denodo Platform Control Center. 

The connection can be defined using either of the following two methods: 

Method 1: ODBC Connectivity

  1. Setting up the ODBC DSN

If not already done, create an ODBC DSN in the Windows ODBC Data Source Administrator.  

In the Windows menu, go to Actian Client Runtime > Client Runtime CR 64-bit ODBC Data Source Administrator.

Create a System Data Source Name (DSN) to connect to your Actian Data Platform cluster. For example, you can name it “Actian DB”. 

Take the Host Name and Listen Address from the Actian Data Platform Console Manage > Connect – Generic Connection Settings.

The Host Name value is the Host value and the Listen Address value is the ODBC port. For the Database, type db.

Example:

2. Creating the Denodo Data Source 

Once the ODBC DSN is created, create a new Data Source by going to File > New > Data source…

Select ODBC. 

Provide a name for the database connection, e.g. actiandb.

Select Generic for the Database adapter.

Select DSN for the Connection type.

Select the Actian Data Platform DSN you created to connect to your instance of Actian Data Platform.

Enter your user name (dbuser) and password.

Click Save to save your data source.

Method 2: JDBC Connectivity

  1. Setting up the JDBC Driver 

If you made the decision to use JDBC, a prerequisite is to have the Actian Data Platform JDBC driverdownloaded and available in the environment where the tools run.The JDBC Driver isavailable via theActian Data Platform consoleDrivers and Toolslink. 

Extract the downloaded JDBC package and place the extracted directory in the C:DenodoDenodoPlatform7.0libextensionsjdbc-drivers directory (where Denodo is installed) or in a directory you desire. 

2. Creating the Denodo Data Source 

After the JDBC driver has been placed in the expected locationcreate a new Denodo data source by going to File > New > Data source…

Select JDBC. 

Provide a name for the database connection, e.g. ActianDB_JDBC.

Select Generic for the database adapter and Native (JDBC) for the type of access.

In the Driver class path field select the directory where the Actian Data Platform JDBC driver (iijdbc.jar) resides, by clicking on the Browse button.

For the driver class, type com.ingres.jdbc.IngresDriver.

Specify the JDBC Database URL, which is provided in the Actian Data Platform Cloud console (Manage > Connect).

Example:
jdbc:ingres://01c77d46010046ec7.vpaasstage.actiandatacloud.com:27839/db;encryption=on; 

Provide the user name (dbuser) and password.  

Now test the new data source to confirm that the connection is successful and that’s it! 

To learn more about Actian Data Platform, our fully managed cloud data warehouse service, visit https://www.actian.com/data-platform/.

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About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale, streamlining complex data environments and accelerating the delivery of AI-ready data. The Actian data intelligence approach combines data discovery, metadata management, and federated governance to enable smarter data usage and enhance compliance. With intuitive self-service capabilities, business and technical users can find, understand, and trust data assets across cloud, hybrid, and on-premises environments. Actian delivers flexible data management solutions to 42 million users at Fortune 100 companies and other enterprises worldwide, while maintaining a 95% customer satisfaction score.
Actian Life

Whimsical…Lotus?

Rae Coffman-Bueb

May 30, 2019

Ladies of Actian at painting night

Ladies of Actian, Palo Alto get together for a Paint Nite

When I received the offer to join the Actian family as the People Programs Manager back in April, I was elated! Through my interviews, one thing that really stood out to me was the friendly, inviting culture – which would make my new role even more exciting. As with any big change, it is not to say I didn’t have the typical jitters associated with joining a new company: will I fit in, will the role be what I expect, will my ideas be well received, etc.

Within the first few days of joining, I had the pleasure of meeting Helena Marsikova. She informed me that she, along with a few others, had organized a Paint Nite for the ladies at the Palo Alto office. I was told it was not an ‘official’ company event, but they wanted to get some time to connect outside of work to get to know one another and invited me to join in on the fun. I am so thrilled that she did!

Last Thursday, a group of about a dozen, met up after work in Downtown San Jose for dinner, drinks, painting of a ‘Whimsical Lotus’, and laughs – LOTS OF THEM (based on the outcome of our paintings, you can likely guess why)!

When we got settled in front of our canvases, the instructor jumped in with an overview. He threw in witty banter and set the tone for the evening. We chatted amongst ourselves and joked about our future careers as artists we had as the progress of many of our paintings were a surprising outcome to say the least. After a couple hours of painting, we gathered to see the masterpieces we had all created – it was a blast!

Coming in to help build upon the culture here through employee programs, it was so wonderful to see that we already have such an engaged workforce – both personally and professionally. We all got to know each other a bit better and many were able to build upon the existing relationships they have had built throughout there time here.

I look forward to continuing to build connections, partner, and grow alongside such an amazing, talented, passionate group of women!

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About Rae Coffman-Bueb

Rae Coffman-Bueb is Director of Employee Experience at Actian, dedicated to enhancing organizational culture. With a background in People Operations, Rae has implemented global best practices that empower teams and streamline HR processes. She provides guidance on talent development, onboarding, and cross-functional collaboration. Rae's blog posts focus on employee engagement, internal communications, and HR innovations. Check them out for tips on boosting workplace satisfaction.