![]() ![]() Scheduled data refresh on Tableau Server for weekly and monthly increments based on business change to ensure that the views and dashboards were displaying the changed data accurately.Expertise in creating dashboards, reports, reporting and analytic applications and tools to drive sales and revenue growth.Experience in configuration and administration of Tableau Server in a multi-server and multi-tier environment.Experience Interacting with power user community to understand and document requirements.Involved in upgrading Tableau platforms in clustered environment and performing content upgrades.Expertise in designing and creating various analytical reports and Automated Dashboards to help users to identify critical KPIs and facilitate strategic planning in the organization.Extensive Tableau Experience in Enterprise Environment and Tableau Experience including technical support, troubleshooting, report design and monitoring of system usage.Expertise in Tracking, Documenting, Capturing, Managing and Communicating the Requirements using Requirement Traceability Matrix (RTM) which helped in controlling numerous artifacts produced by the teams across the deliverables for a project.Expertise in analysis, design and implementation of data warehousing applications using Teradata, Informatica, UNIX, DB2, Oracle and SQL Server technologies.Experience creating Tableau dashboards with relational and multi-dimensional databases including SQL and MS Access.Generating Ad - hoc visualizations reports as per management requests from live environment for on spot validations.6 years of extensive Tableau Experience in Enterprise Environment that includes 8/9/10 versions as a developer and Administrator.9+ Years of BI experience in gathering Business Requirements, Analysis, Design, Development, Testing, Implementations and Documentation of various functionalities of Data Warehouse/ Data Marts and Business Intelligence.Data Science vs Big Data vs Data Analytics. ![]() We'd appreciate your help figuring out where we're going wrong. ![]() We only have 6 million records in total when merging both datasets, so we're stumped as to why things are taking so long. However, when I reset all of the filters, it takes around 60-90 seconds to return to the Original View. We made a heat map and two bubble charts to illustrate billing by client and two subcategories (All using Billing data) With consumers, we've established a cross tab to show part prices by "Region" (All using Pricing data) We've made a scatter plot to show how Price and Bill interact (Data blending) We created approximately 10 parameters for Filters because we have two separate datasets.Īfter putting all of these sheets and parameter controls in one dashboard, we saw that it takes between 60-90 seconds to open the initial view, whether on the server or on the desktop after that, it's relatively speedy even if I use numerous filters. Pricing data is in one dataset, and billing data is in another. Just a little background on how we came up with this dashboard. The following is an observation: SQL Server as a source 2 SQL views in the dataset (extracted) 6 million records Both "Tableau Desktop" and "Tableau Server" are experiencing performance issues. Tableau Desktop 9.3 is what we're utilising. Is there any method in Tableau, any settings or configuration adjustments, to speed up the first load of dashboards on Tableau Server? When someone accesses one of my high-performance dashboards on Server for the first time, it can take several minutes to load. ![]()
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