The uses of Talend are multidimensional when it comes to Big Data Governance, making work easier for developers and managers alike. With legacy systems, many aspects can bring challenges to business users, such as not understanding the business values of data, lack of data leadership, or audit trail readiness. Concerning these and several of the hurdles big data governance can pose to organizations, metadata management can be a precious asset.
This blog will focus on how Talend can help a business mitigate the pitfalls, thanks to the five core composites that make the fabric of the robust solution.
Interested to know how? Let’s dive right into it!
1. Talend Studio’s Metadata by Design
Without the help of metadata, you cannot project a holistic and actionable overview of the information supply chain. Having this view is a necessity for change management, transparency, and audit-ready traceability on data flows. It also assists in increasing data accessibility with the help of easy-to-use access mechanisms like visual maps of the search feature. It is convenient to gather, process, upkeep, and trace metadata at the source when it is designed even though it can be retro-engineered in a few instances.
With the help of Talend, all the data flows are created with a visual and metadata-rich ecosystem. As a result, it facilitates fast-paced development and product deployment. As soon as the data flows start running, Talend furnishes a detailed glimpse of the information supply chain.
In the Talend Big Data environment, this is important since various powerful data processing ecosystems lack the affinity for meta-data in comparison to traditional data management languages such as SQL. Talend Open Studio helps organizations to access high abstraction levels in a zero-coding approach to help manage, govern, and secure Hadoop data-driven systems.
Talend Open Studio possesses a centralized repository that maintains a perpetually updated version of an organization’s data flows that they can easily share with multiple data developers and designers. This also makes it possible to export data flows to tools like Apache Atlas, Talend Metadata Manager, or Cloudera Navigator that expose them to a broader spectrum of data working audience.
2. Talend Metadata Bridge: Synchronize Organizational Metadata Across Data Platforms
Talend Metadata Bridge enables easy import and export of data from the Talend Studio and facilitates access from practically all data platforms. Talend Metadata Bridge has over a hundred connectors provided to assist in harvesting metadata from:
- ETL tools
- Modeling tools
- NoSQL or SQL databases
- Popular BI and Data Discovery tools
- Hadoop
- XML or Cobol structures
The bridge enables developers to create data structures while being able to propagate them through several platforms and tools over and over again. It becomes easier and more simplified to safeguard standards, usher in changes, and overlook migrations since any third-party tool or platform can translate data formats to Talend.
3. Talend Big Data: Overcome Hadoop Governance Hurdles
By default, Hadoop is meant to hasten data proliferation quicker than it already is, generating more challenges for organizations. Traditional databases provide a singular point of reference for data, related metadata, and data manipulations. However, Hadoop compiles multiple data and storage processing alternatives.
Hadoop also tends to replicate data throughout various nodes, thus making replications of raw data between the steps of processing because of the high availability strategy.
Hence, data lineage is even more crucial to enable traceability and audit-readiness of data flow within Hadoop. Such factors are a substantial threat to data governance.
However, Hadoop is an open and expandable community-centric framework. The weaknesses it has inspires innovative projects created to mitigate these challenges and convert them into an advantage.
Talend Big Data integrates with Apache Atlas or Cloudera Navigator seamlessly and projects detailed metadata for the designated data flows to these third-party data governance ecosystems. Using this functionality, Talend provides data lineage capabilities to such environments. This provides the necessary depth as compared to Hadoop or Spark where the data flows are hand-coded directly.
With the help of Apache Atlas and Cloudera Navigator, such metadata generated by Talend is easily connected to various data points. They can also be searched, visualized as maps (data lineage), and shared with the necessary authorized users in a Hadoop environment apart from Talend administrators and developers. Thanks to them, metadata is more actionable since they trigger actions for particular datasets as per the scheduled or arrival intervals.
4. Superior Data Accessibility: Democratize Your Data Lake
Up until recent times, big data governance was being perceived as an administrative restriction and not a value-addition by business use cases. However, it has several benefits.
Let’s take the analogy of packaged food. Having information regarding the name, ingredients, chemical composition, weight, quantity, nutrition value, and more details is essential to gain a fair understanding before you consume any edibles.
The same principles apply to data.
Talend has the feature of an extensive Business Glossary in Talend Metadata Manager that facilitates data stewards to upkeep important business definitions for the data. They can also link such data to the tools and environments for accessibility by business users. Talend Data Preparation similarly brings its independent dataset inventory to enable open access, cleansing, and shaping of data as part of their self-service motivators. With the principle of self-service being at the forefront, Talend makes sure to empower users with all the knowledge base they require.
5. Talend Metadata Manager: Manages and Monitors Data Flows beyond Hadoop
It is no longer feasible to manage each data source at a single location. Even though legacy enterprise systems like SAP, Microsoft, and Oracle are not going anywhere, cloud applications will still proliferate. Traditional data warehouses, as well as departmental Business Intelligence, will coexist with additional data platforms in the future.
This not just increases the demand for environments like Talend Data Fabric so that managing data flows across environments becomes seamless, but also drives the requirement for a platform that gives business users a holistic display of the information chain, at the location data is gathered. Organizations working in heavily regulated environments take these extensive steps to mandate these functionalities for maintaining audit trails.
Conclusion:
Talend Metadata Manager provides a business with much-needed control and visibility over metadata that they can successfully mitigate risk and compliance in organization-wide integration with end-to-end tracking and transparency. Metadata Manager brings together all the metadata, be it from Hadoop, Talend, or any data platform supported by the metadata bridge. It also provides a graphic information supply chain to give access to full data lineage and audit readiness. As icing on the cake, Talend converts this holistic view to a language and data map that everyone can easily understand, from people responsible for data usability, integrity, and compliance to the business users.
