Do you remember how Internet has revolutionized content creation? It became so easy and so cheap that everyone started creating content. The economics of data is currently at the same stage.
The problem of the Internet was not the lack of interesting content, but the difficulty in finding this content. After two decades, we now know that the big winners of the web economy are those who have created a single point of access to content in their category: Google, YouTube, Baidu, Amazon or Wikipedia.
We are currently experiencing similar data expansion in our highly data-dependent economy. According to an IDC study , data professionals currently spend 81% of their time researching, preparing and protecting data, leaving them little time to turn data into tangible business results. To join the winners’ camp, it is crucial for organizations to create a single source of access to their data.
Technology can help solve the problem, and I will come back to this later in this article. However, companies must also implement a discipline of organizing their data on a large scale: this is called data governance. But this traditional governance must be reinvented to adapt to the expansion of data. According to a Gartner study, “by 2022, only 20% of organizations that have invested in information will succeed in changing governance for the digital market. This percentage is far too low in view of the number of companies crumbling under the data.
The goal of modern data governance is not just to reduce data risk, but also to increase data usage. This is why traditional authoritarian approaches to data governance are not enough. A bottom-up, more agile approach is essential. This type of strategy starts with raw data, links data to the context of the business to make sense of it, controls its quality and security, and organizes it perfectly, so that it is ready for mass consumption.
A catalog of data is essential
Data catalogs claim to be able to implement this new discipline, taking advantage of modern technologies such as intelligent semantics and machine learning to organize data on a large scale, and transforming data governance into team sport. by the participation of all in the curation of the contents.
Thanks to the new Talend Data Catalog application , companies can organize their data on a large scale for easy access and to meet any challenge. By enabling companies to create a single source of reliable data, this solution benefits companies, who can find the right data, as well as CIOs and data managers, who can better control data to improve their governance. Let’s discover Talend Data Catalog in more detail.
Smart data discovery
Data catalogs are perfect for companies that have modernized their data infrastructures with data lakes or cloud-based data warehouses, where thousands of raw data elements are available and accessible on a large scale. The catalog can find the right data in these deposits, using crawlers on different file systems (traditional, Hadoop or cloud) and file formats. It then automatically pulls metadata and profiling information, for referencing, change management, classification, and accessibility.
Not only does a catalog include all the metadata, but it can also automatically create links between the datasets and connect them to a business glossary. In summary, it allows businesses:
automate the inventory of data;
exploit intelligent semantics for self-profiling, relationship discovery and classification;
document and encourage use, as the data has been enriched and is more relevant.
The purpose of a data catalog is to release the data from the application where they reside.
Orchestrate data curation
Once data has been automatically collected and aggregated, data governance can be orchestrated much more efficiently. Talend Data Catalog allows companies to define critical data elements in their business glossary and assign owners to these elements. The application then links these critical data elements to the data points that refer to them in the information system.
Data is then mastered and data owners can ensure that their data is properly documented and protected. Comments, warnings or validation can be added by any user of the company in participatory mode, for an upward data governance. Finally, the data catalog traces the complete history of the data and manages version control. It guarantees the accuracy of data and provides an overview of the information chain, two essential criteria for governance and data compliance.
Easy access to reliable data through research
With Talend Data Catalog, organizations can locate, understand, use, and share their trusted data faster by researching and verifying the validity of their data before sharing it. Its collaborative user experience allows anyone to contribute to metadata or business glossary.
Data governance is very often associated with control. It is a discipline that allows companies to collect, process and consume data centrally according to certain rules and policies. The magic of Talend Data Catalog is that this solution not only controls the data: it also frees them so that they can be used. Data professionals can find, understand and share data ten times faster. Data engineers, data scientists and analysts, or even developers, can take the time to extract value from datasets, rather than searching for data or creating datasets, and thus make the most of your data lake.
A recent IDC report, Data Intelligence Software for Data Governance, extols the merits of modern data governance and defines the data catalog as the cornerstone of Data Intelligence software. In this report, IDC provides the following definition: “The technology that enables governance activation is called Data Intelligence and is offered by metadata management software, data history, data catalog, business glossary , data profiling, control and data stewardship. “