In order for data to be valuable, it must be useful, which means it must trigger commercial insights. But in the modern data environment, data is often located in more than one location. For example, one organization may use a data warehouse for a use case, while another may use a data lake. Sometimes these choices are based on divisions in the organizational structure, with different departments each creating its own data source.
This creates a silo problem. In such a scenario, gaining insight becomes both complex and costly, and it is often necessary to move data from one system to another to create a single source of information. But bringing this source of information to life can become a never-ending task, and many businesses either devote unlimited resources to this task or never achieve success.
Resolve data silo problems
Solving this problem is actually about data federation. Federation reveals the value of your data by creating a connection between multiple data sources. This powerful approach opens the doors to a world of possibilities by offering businesses more choices and more flexibility. By using Federation, your organization no longer needs to move data unnecessarily to a centralized source of accuracy. This way, you can spend more time building insights and creating value.
How do you connect to different data sources?
The federation provides the best result when it offers a large number of options. This makes it possible to connect with data from other sources no matter where your data is. Starburst's aggregator ecosystem includes more than 50 consolidators that provide connectivity to both cloud and on-premises data sources.
This variety of connectors includes many advanced proprietary connectors, which further increases the options available. As a result, the federation reduces costs, increases convenience and improves versatility.
Who uses the data federation?
All data professionals who manage data or query data from multiple sources from the data federation. This includes the following persons:
- Data managers (e.g. data engineers, data architects) create catalogs to connect to their organizations' data sources.
- Data consumers (e.g. data scientists, data analysts) write queries to consolidate data in data sources.
How does data federation work?
The TrinoSQL query engine uses connectors to communicate with many data sources simultaneously and processes and combines data from different sources as needed to complete a query.
Starburst can be linked to a variety of data sources, including NoSQL repositories such as Elasticsearch or MongoDB and relational databases such as PostgreSQL. It can also simplify data lake analysis by supporting all major table formats, including Iceberg and Delta Lake, which are made permanent on Amazon S3, Azure Blob and Google Cloud object stores.
In addition, in the following image you can see some of the connectors that are part of our connector ecosystem:
How can you achieve data federation with Starburst?
Federation operations are pretty easy with Starburst Galaxy. To get started, you just need to create catalogs to link to the data sources you want to include. Then combine tables from different data sources in the same way as tables from the same data source.
İlginizi Çekebilecek Diğer İçeriklerimiz
Veri analisti (Data Analyst), verileri toplayan, analiz eden ve bu verilerden anlamlı içgörüler çıkararak işletmelere stratejik kararlar almalarında yardımcı olan bir profesyoneldir.
Makine Öğrenimi Mühendisi (Machine Learning Engineer), veri analizi ve yapay zeka algoritmalarıyla çalışan, makinelerin öğrenmesini ve veri odaklı kararlar almasını sağlayan sistemleri geliştiren bir profesyoneldir. Bu mühendisler, istatistik, programlama ve veri bilimi becerilerini kullanarak, iş süreçlerini otomatikleştiren ve optimize eden çözümler oluşturur.
