Meet Us at the MIT CDOIQ Symposium!

We often tell you about the technical conferences and meet-ups we visit and how we present our solution there. But this time, we are showing up at a completely different kind of event. It’s the Chief Data Officer and Information Quality (CDOIQ) Symposium hosted annually by the Massachusetts Institute of Technology (MIT).

We often tell you about the technical conferences and meet-ups we visit and how we present our solution there. But this time, we are showing up at a completely different kind of event. It’s the Chief Data Officer and Information Quality (CDOIQ) Symposium hosted annually by the Massachusetts Institute of Technology (MIT).

What’s This Event About?

As mentioned by MIT, this symposium is one of the key events for sharing and exchanging cutting edge ideas, content, and discussions. And, as data is a critical aspect of every organization, the symposium focuses on the management and leadership of this critical element in the 21st century that will benefit every organization. Since data is a big part of MANTA’s own mission, we will be talking our hearts out.

What Do We Want to Share?

We are looking forward to sharing our own take on the future of data with you, and that will, as usual, revolve around data lineage. But this time, we will let you take a peek behind the curtains at MANTA’s very own research. It’s no secret that we closely cooperate with universities, that our CEO Tomas Kratky has been a teaching associate at the Czech Technical University in Prague for many years, and that our amazing developers are mostly selected from students who did their Master’s or Bachelor’s thesis research with MANTA’s Engineering team. So what exactly do our current research projects include?

Database Language Research

MANTA as a company always tries to support all our customers’ needs by adding more and more scanners and connectors for the technologies that they use in their data environments. MANTA as a research institution likes exploring new database languages and examining ways to automate their reading and processing for the purpose of creating data lineage. An exciting challenge for us at the moment is Java. Java, as well as the growing family of database languages that we support for our customers, produces a significant amount of metadata that needs to be stored in MANTA in order to perform various analyses on the data lineage graph. Due to the nature of data lineage visualization, MANTA has been storing its own program data in a graph database for quite some time now—which means we have been continuously doing research in this field as well.

Graph Databases

A graph database is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. A key concept of the system is the graph. The graph represents the data items and their relations as a collection of nodes and edges, with the edges representing the relationships between the nodes. The relationships allow stored data to be linked together directly and, in many cases, retrieved with one operation. Graph databases hold the relationships between data as a priority. Querying relationships within a graph database is fast because they are perpetually stored within the database itself. Relationships can be intuitively visualized using graph databases, making them useful for heavily interconnected data—like data lineage.

In a future where network structures are frequently used (social networks, maps, car sharing, other sharing apps, etc.), graph databases might just be the most efficient and fastest way to document data. MANTA uses graph databases to store data lineage graphs, which is a pretty innovative way to use these databases.

But our research lies in being even better. Finding more efficient ways to store data as well as quickly finding dependencies between various versions of data lineage graphs can greatly boost the overall speed of creating data lineage and make our software significantly faster than all the other data lineage solutions out there.

If we can find more fast and efficient ways to store data in graph databases, we might be ensuring the painless and efficient creation of end-to-end data lineage in the data world of tomorrow. And that is a challenge we will gladly take on today.

Want to join us at the MIT CDOIQ Symposium from July 31 to August 2 and listen to our talk about the future of data lineage? With the code MANTA25, you’ll get a 25% discount on tickets. And that’s worth it. 

Anything else you want to tell us? We are here for you at manta@getmanta.com

 

 

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