Knowi Blog | Turning data into action
Use Knowi to connect to Elasticsearch, query and visualize your data, and use search-based analytics to ask more questions of your data.
When people ask, “what is Elasticsearch?”, some may answer that it’s “an index”, “a search engine”, an “analytics database”, “a big data solution”, that “it’s fast and scalable”, or that “it’s kind of like Google”. Depending on your level of familiarity with this technology, these answers may either bring you closer to an ah-ha moment or further confuse you. But the truth is, all of these answers are correct and that’s part of the appeal of Elasticsearch.
In this post, we’ll give a hands-on, end-to-end tutorial on using Knowi to connect to data in MongoDB Atlas and build visualizations from it in minutes, demonstrate how you can blend data on the fly from SQL and NoSQL data sources, and explore its other advanced features like Natural Language Processing (NLP) and Integrated Machine Learning.
The BI Industry exploded in 2019. Here are the 7 best and most noteworthy business intelligence tools to keep an eye on in 2020.
An overview of existing visualization tools for performing and visualizing MongoDB analytics, including MongoDB’s own data explorer tools, traditional BI tools, and native solutions like MongoDB Charts and Knowi.
In this post, we’ll provide an overview of MongoDB Atlas, give a tutorial on getting started with the platform, and share our general takeaways from a first-time user perspective.