Katerina Plskova

MANTA 3.26: IBM DataStage, erwin, and Detailed Lineage in EDC!

Leaves are gently falling to the ground in front of MANTA’s engineering office here in Prague as autumn arrives together with Software Release 3.26. What masterpiece have our developers put together this time? Read all about it in our release blog post.

Leaves are gently falling to the ground in front of MANTA’s engineering office here in Prague as autumn arrives together with Software Release 3.26. What masterpiece have our developers put together this time? Read all about it in our release blog post.

Not Just Any Ol’ Scanners

As always, we bring you the new and greatly improved as well as the old BUT tuned and tweaked. In this release, we have added two new scanners. The first one is an experimental version of the ETL tool from the IBM InfoSphere family, IBM InfoSphere DataStage. Experimental means that we are looking for pioneers for testing. But you had better be quick because the waiting list for this scanner was quite long, and so is the list of prospective testers!

MANTA analyzes DataStage parallel jobs provided by users, then creates a detailed visualization of the data lineage that can be pushed into any third-party metadata management solution or viewed in MANTA’s native visualization. This allows you to plug information such as data validation rules and other data from separate databases into DataStage, all visualized in the lineage showing the complete end-to-end journey of your data.

The second scanner we’ve added is erwin Data Modeler. MANTA can scan erwin and automatically pull physical and logical models that can then be added to your data lineage. This can come in extremely handy when it comes to your database architecture projects, as you can add complex data models from erwin to MANTA and use them to accurately project a situation—an enormously valuable asset for your database engineers.

Up a Notch

We have worked hard to perfect our Cognos scanner. MANTA’s scanner now processes Framework Manager report specifications retrieved from Cognos’ report storage (Content Store). Using the extracted information and other scanners, MANTA can create complete end-to-end data lineage (from database data sources through analytical models to reports in Cognos Analytics).

We are also happy to inform you that we have stepped our Informatica EDC integration up a notch. We have added more filtering options to detailed lineage in EDC, allowing you to see both the big picture as well as the finest details all the way down to the column level, and you can filter dataflows based on what information you want in your final lineage map. Now, MANTA helps you see not only complex SQL code in your EDC Catalog but also information from all the other scanners and integrations that MANTA supports—all ETL, analytics, and reporting tools. This causes user productivity and workflow efficiency to skyrocket!

Last but Not Least

Last but not least, we have made some improvements to the install and update process. Now, the magic happens automatically. When you download a new update packet and the installer notices that you need to update MANTA, it can automatically run your updater when needed, saving you a wrinkle or two in the process!

That’s all for MANTA 3.26. Any questions? Want to become a pioneer? Write to us at manta@getmanta.com.

Capital Market Innovation Summit 2019: Shaping Digital Transformation and Delivering Value to Clients

August 9, 2019 by

How can you maintain a competitive edge during times of digital transformation with augmented data flow management? MANTA’s own Jan Ulrych will be speaking at CMIS 2019. Read more about the conference topics and join us at the session!

How can you maintain a competitive edge during times of digital transformation with augmented data flow management? MANTA’s own Jan Ulrych will be speaking at CMIS 2019. Read more about the conference topics and join us at the session!

One of the key topics of the upcoming Capital Market Innovation Summit (CMIS) is how to set up your institution’s digital transformation strategy—which is, unsurprisingly, currently an issue for many different investments banks out there.

Way back in 2014, Accenture correctly stated that “much of the value provided by investment banks is still tied to a small number of historically important structural elements within this industry which digitalization could quickly overturn.”

To maintain a competitive edge over traditional competitors and new “niche” players alike, investment banks took a deep dive into digital transformation efforts—we will get to hear about that at CMIS from Nomura’s Simon Hornibrook, among others.

All the major pain points—concentration of resources, aggregation of transactions, narrow sales channels, and the lack of price transparency—require a strategic, experience-based approach and planning. Digital early adopters are gathering experience faster, while followers are falling behind on long-term plans.

The backbone of any such initiative is a proper understanding of the institution’s current collection and usage of data as well as its ability to gain actionable intelligence from it. With data usage and collection intelligence (“data lineage” or, frequently, “data flow management”) at hand, strategic planning for digital advances moves from broad evaluations to data-backed decision-making.

Don’t miss Jan Ulrych’s presentation on the first day of the SummitTuesday, October 8th, starting at 3 p.m. Come and learn how augmented data management is shaping today’s digital transformation initiatives and why proper data flow management is essential for all your data security, quality, governance, and analytics projects.

MANTA 4 Entertainment

This year, we signed on a new customer from a quite different industry than we would have expected. The way the customer uses MANTA made us explore the possibilities for mapping data lineage in data warehouses packed with data from the entertainment industry. Click here to read more!

This year, we signed on a new customer from a quite different industry than we would have expected. The way the customer uses MANTA made us explore the possibilities for mapping data lineage in data warehouses packed with data from the entertainment industry. Click here to read more!

MANTA’s first customer from the entertainment industry was a satellite television provider. Our recent customer is one of the largest and most profitable casino chains in North America. What do the two of them have in common when it comes to their data environments?

First Aid Post M&A

The original reason why our first entertainment-industry customer needed MANTA a few years back was to deal with significant data growth after a long series of mergers and acquisitions. Each of the companies had their own DWH with unique and valuable data. Therefore, as part of their growth and migration plans, it was necessary to consolidate. As the entertainment industry is one that is ever-moving and the buy-and-sell forces jump from one company to another, this is a very common use for MANTA in this industry.

Real. Time. Data.

With the evolving quality of media, the volume of data being transferred in this industry is also growing exponentially. And when it comes to table data in a casino, which is actually financial data on steroids, the needs to organize and automatically read and process this data are enormous, especially when companies tend to throw all of their data on a pile and call it a “data lake”. More and more customers then reach out to MANTA to help them deal with the mess in their big data solutions. Luckily, not only can MANTA do that, but we also expand our fleet of big data connectors with every new release. Visit our Tech Hub to see if yours is among them!

Safe and Sound

Another thing both of these entertainment divisions have in common is the vulnerable nature of their data. Whether we are talking about highly sensitive customer data from a telecommunications company (which not only includes credit card numbers, but also home addresses and even the viewers typical viewing times!) or sensitive financial data from casinos, it is necessary to comply with regulations related to sensitive data and to protect it (especially data on EU customers for GDPR compliance reasons). What MANTA can do is help find all the spots where such data is being stored and help change all of them at once. This can save months of manual labor since such reports are created automatically in a matter of hours. With many companies today investing in agile and lean process workflows, this can be an essential process optimization.

Peek into the Future

As you can see from this article, the current state of entertainment industry data is a crossover between sensitive personal data and financial data. With more and more subscription-based media entertainment services, the amount of data these companies have to store is skyrocketing quarterly. We can be sure to see more and more entertainment industry companies reaching out for help when dealing with their data environments.

Do you have any questions about this or any of the other industries MANTA covers? Go ahead and contact us at manta@getmanta.com

See You at Teradata Universe 2019!

August 1, 2019 by

After the April edition of Teradata Universe in Madrid, we are taking off to meet you on the other side of the Ocean and participate in the Denver edition. MANTA will be at Teradata Universe for a reason–Teradata is the scanner we have been using the longest, for over 10 years.

After the April edition of Teradata Universe in Madrid, we are taking off to meet you on the other side of the Ocean and participate in the Denver edition. MANTA will be at Teradata Universe for a reason–Teradata is the scanner we have been using the longest, for over 10 years.

How Did It All Start?

Many moons ago, the first projects that we did back in 2008 included Teradata technology. With the great support of Teradata professionals, we have been helping our customers automatically scan data warehouses built on this solution ever since. Now, MANTA is helping Teradata trust their own company data. Teamwork makes the dream work, as they say.

How Does It Work?

When MANTA connects to the Teradata database, it reads the code, understands it, documents the data flow, and pushes it into third-party data governance and metadata solutions or our native UI.

And on top of that, we currently scan almost every possible type of data stored in Teradata. You can read more on our Tech Hub.

MANTA + TERADATA: What’s In It For Me?

Not sure if data lineage can be of help to your business? We are aware that the advantages of knowing how your data flows might not be visible at first glance. But, we also know it’s a gateway to a boost in data governance efforts, development acceleration, speeding up the modernization process, ensuring data quality, shortening time-to-market, and data security enhancement, just to name a few.

We are not giving a presentation this time, so we’ll always be available for you at booth 410 at Teradata Universe. Find us there so we can discuss how exactly your company can profit from dataflow visualization.

Have any questions in advance? Submit them to manta@getmanta.com and you can be sure to get an answer!

MANTA Cases #5: The Only Reason Developers Exist

Today’s edition of “MANTA Cases” was inspired by a recent MANTA Sales training. Our sales folks were discussing one of our largest customers, a Fortune 500 bank, and their struggle to track changes in an ever-moving environment.

Today’s edition of “MANTA Cases” was inspired by a recent MANTA Sales training. Our sales folks were discussing one of our largest customers, a Fortune 500 bank, and their struggle to track changes in an ever-moving environment.

Data lineage is not always a platform for proving the existence of security processes and achieving regulatory compliance. Sometimes data lineage just provides an elementary function: it tracks the changes and transformations in the data environment and visualizes them in a detailed and accurate map. And many of our customers use MANTA just for that!

Our customer, a Fortune 500 bank, had really comprehensive, high-level internal systems. In order to keep them up and running, it had its own team of developers following an agile development process. There were several reasons why the customer chose MANTA in the effort to automate their processes.

Reason #1: The Inevitability of Change

The bank’s management was very much aware that the development processes and changes in the environment needed to be recorded, not only to continuously improve future development but mainly to understand their data. But from the beginning, they were not quite sure how to achieve that. Their solution was to make developers write down, record, and notify the rest of the team about every change that they made in the environment. That didn’t work, mainly because it is almost impossible. After all, the only reason developers exist is to make changes in the environment.

Reason #2: The Pain of Documenting Stuff

Often—and this case was no different—teams of developers have their know-how, their undocumented knowledge. They know how they have built the environment, and they are the ones continuously working on it. Sometimes it is just impossible to get that knowledge out and documented. Also, people come and go. Often, there was no prior documentation for a task that was about to be completed simply because no one had ever done that before in this company. That is why the idea of MANTA is so promising for developers. It can read and document data automatically without prior assumptions of how the data flows should look. Which leads us to…

Reason #3: Make-believe Lineage

This is usually more of a post-data-lineage realization, but it is one of our favorites. Often, developers do have everything documented and know exactly what transformations are performed in their data warehouse—or so they think. After seeing MANTA’s data lineage, customers are often surprised by the visualization. They say they “could have sworn” it was “like this”. Well, you can’t fool MANTA.

The Result?

The customer deployed MANTA in several company teams to help with process automation. All processes and reports were delivered by MANTA in a matter of hours, replacing the months of manual work done in the past. They really took advantage of MANTA’s broad spectrum of connectors, because they had multiple data governance solutions in their company for different tasks. The developers used MANTA’s native visualization to track transformations in their data warehouse; the financial department used MANTA in combination with Collibra’s solution; another team used MANTA together with IBM Information Governance Catalog to calculate impact analyses; etc. With MANTA, the options are really unlimited.

Need MANTA for a new connector? Visit our Tech Hub! Don’t see what you are looking for? Write to us at manta@getmanta.com and find out where it is on our roadmap. 

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