A common statistic you'll hear in the age of Big Data is that 90% percent of all data was created in the last two years. For organizations of all sizes, that creates a lot of data to store and a lot of work for data analysts. More than ever, data analysts need the right data analytical tools in their toolbox to continue deriving insights from the wealth of data businesses are collecting from disparate data sources and formats.
Without those tools, invaluable opportunities to gain deeper business understanding and better inform strategy will be lost.
Snowflake and Data Analytical Tools
Snowflake's cloud-native data platform supports data analysis at any scale and offers integrations with a wide range of data analytics tools.
Tableau Software: Tableau users are enabled for interactive data analytics at any scale, workload, and concurrency across structured and machine-generated data.
Talend: Snowflake teams with Talend to deliver a powerful data integrationa dn analysis solution for data across multiple clouds and between cloud and on-premises environments.
Sigma: By delivering live access to Snowflake using an intuitive spreadsheet interface, Sigma opens up data conversations across the organization.
Alteryx: Snowflake and Alteryx partner to deliver scalable performance for advanced analytics by enabling advanced, predictive and spatial analytics to rapidly analyze large sets of data quickly within Snowflake.
For a full list of Snowflake analytics and broader technology partners, click here. See Snowflake’s capabilities for yourself. To give it a test drive,sign up for a free trial.
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