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For the second year in a row, Snowflake has named Alation its DataGovernance Partner of the Year. This back-to-back recognition is testament to Alation’s essential role within the Snowflake partner ecosystem at the intersection of datacloud migration , active datagovernance , and self-service.
Best practices in cloud analytics are essential to maintain data quality, security, and compliance ( Image credit ) Datagovernance: Establish robust datagovernance practices to ensure data quality, security, and compliance.
In that sense, data modernization is synonymous with cloud migration. Modern data architectures, like clouddata warehouses and clouddata lakes , empower more people to leverage analytics for insights more efficiently. What Is the Role of the Cloud in Data Modernization?
If you haven’t already, moving to the cloud can be a realistic alternative. Clouddata warehouses provide various advantages, including the ability to be more scalable and elastic than conventional warehouses. Can’t get to the data. Data pipeline maintenance. Unable to properly governdata.
Alation has been working hard to help all Snowflake users get the most out of their DataCloud. DataGovernance for Every Workload. Alation helps everyone understand and leverage their data by making that data accessible to everyone. Knowing how to use the data is essential. Don’t Miss Out!
In this four-part blog series on data culture, we’re exploring what a data culture is and the benefits of building one, and then drilling down to explore each of the three pillars of data culture – data search & discovery, data literacy, and datagovernance – in more depth.
we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the DataGovernance App. Datagovernance at scale.
This week, IDC released its second IDC MarketScape for Data Catalogs report, and we’re excited to share that Alation was recognized as a leader for the second consecutive time. These include dataanalysts, stewards, business users , and data engineers. Leader in Forrester Wave: DataGovernance Solutions.
Over time, we called the “thing” a data catalog , blending the Google-style, AI/ML-based relevancy with more Yahoo-style manual curation and wikis. Thus was born the data catalog. In our early days, “people” largely meant dataanalysts and business analysts. Data engineers want to catalog data pipelines.
Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables dataanalysts and engineers to transform, test and document data in the clouddata warehouse. Jason: What’s the value of using dbt with the data catalog ?
These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? The rise of cloud computing and clouddata warehousing has catalyzed the growth of the modern data stack.
In less regulated sectors such as retail, the focus is primarily enablement around data. Few industries are culturally “big” when it comes to datagovernance. Embrace scalability and expansion Every data catalog will evolve over time to meet changing business needs and priorities around data, so scalability is a key attribute.
Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake clouddata warehouse and Tableau (and how it can be fixed). Time is money,” said Leonard Kwok, Senior DataAnalyst, ARC. Alation has the broadest and deepest connectivity of any data catalog.
It is important in business to be able to manage and analyze data well. Sigma Computing , a cloud-based analytics platform, helps dataanalysts and business professionals maximize their data with collaborative and scalable analytics. These tools allow users to handle more advanced data tasks and analyses.
ThoughtSpot is a cloud-based AI-powered analytics platform that uses natural language processing (NLP) or natural language query (NLQ) to quickly query results and generate visualizations without the user needing to know any SQL or table relations. Suppose your business requires more robust capabilities across your technology stack.
This is a key component of active datagovernance. These capabilities are also key for a robust data fabric. Another key nuance of a data fabric is that it captures social metadata. Social metadata captures the associations that people create with the data they produce and consume. The Power of Social Metadata.
Last week, the Alation team had the privilege of joining IT professionals, business leaders, and dataanalysts and scientists for the Modern Data Stack Conference in San Francisco. Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys.
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