Cincinnati Tableau User Group Event #1

** This workshop was conducted in the Hong Kong Open Source Conference 2017 ** Excel formulas can be quite slow when you're processing data files with thousands of rows. It's also especially difficult to maintain the files when you have some messy mixture of VLOOKUPs, Pivot Tables, Macros and VBAs. In this interactive workshop targeted for non-coders, we will make use of SQLite, a very lightweight and portable open source database library, to perform some simple and repeatable data analysis on large datasets that are publicly available. We will also explore what you can further do with the data by using some powerful extensions of SQLite. While SQLite may not totally replace Excel in many ways, after the workshop you will find that it can improve your work efficiency and make your life much easier in so many use cases! Who should attend this workshop? - If you're frustrated with the slow performance of Excel formulas when dealing with large datasets in your daily work - No coding experience is required

Business Intelligence (BI) and analytics have become critical processes for organizations seeking to remain competitive and make insightful decisions in today's data-driven world.

The document is an internship report submitted by Salman Khan detailing his 1 month internship at Teradata. It includes an acknowledgements section, executive summary, and sections describing Teradata's products and database system. Salman's internship objectives were to learn about working in an organization and gain experience in databases. Over 4 weeks, he completed tasks involving Tableau training, creating normalized and denormalized databases, and comparing query performance between the two structures.

Following best practices can help ensure your success. This is especially true for Force.com applications or large Salesforce orgs that have the potential to push platform limits. Salesforce allows you to easily scale up from small to large amounts of data. Mostly this is seamless, but as data sets get larger, the time required for certain operations may grow too. Join us to learn different ways of designing and configuring data structures and planning a deployment process to significantly reduce deployment times and achieve operational efficiency. Watch this webinar to: Explore best practices for the design, implementation, and maintenance phases of your app's lifecycle. Learn how seemingly unrelated components can affect one another and determine the ultimate scalability of your app. See live demos that illustrate innovative solutions to tough challenges, including the integration of an external data warehouse using Force.com Canvas. Walk away with practical tips for putting best practices into action.

The document discusses advanced analytics capabilities in Tableau. It summarizes that Tableau allows both technical and non-technical users to perform advanced analytics tasks like segmentation, cohort analysis, scenario analysis, sophisticated calculations, time series analysis, and predictive analysis without requiring programming. It provides intuitive interfaces and drag-and-drop functionality for these advanced tasks. Tableau's calculation language also allows power users to build complex expressions and manipulate result sets.

Gramener's CEO and Co-Founder Anand S hosted a webinar on how interactive PowerPoint decks can engage your audiences. Pain points discussed in this webinar : -How to utilize interactive slides to answer business questions like "Where is the problem?" and "What created this problem?" -What forms of interactivity does PowerPoint offer, and when should you utilize each? -What tools and plug-ins can aid in the creation of interactive presentations? Watch the full webinar on: https://info.gramener.com/interactive-powerpoint-for-operations Book a free demo to know more about Gramener's solutions: https://gramener.com/demorequest/

Tableau is a Business Intelligence tool for visually analyzing the data. Users can create and distribute an interactive and shareable dashboard, which depict the trends, variations, and density of the data in the form of graphs and charts. Tableau can connect to files, relational and Big Data sources to acquire and process data. The software allows data blending and real-time collaboration, which makes it very unique. It is used by businesses, academic researchers, and many government organizations for visual data analysis. It is also positioned as a leader Business Intelligence and Analytics Platform in Gartner Magic Quadrant. #tableauslideshare #tableaux #tableaudeco #tableaudemariage #tableaupersonnalisé #portableaudio #tableauabstrait #tableaumariage #tableauvivant #tableausoftware #tableauxanciens #tableaudecoratif #tableauxvivants #tableaunoir #tableauancien #tableauvegetal #tableauxdécoratifs #tableauacrylique #tableaumoderne #tableaucontemporain #tableaudesign #tableauxmodernes #tableaudebord #adoptableauction #tableauelectrique #tableauxabstraits #restaurationdetableaux #tableau_bylu #tableauart #tableauavendre #tableautaubate . . . Created by Inflact Hashtags Generator

Interactive data-driven presentations are a new way of presenting data. They allow the presenter and the audience to engage actively and drill into the data within PowerPoint. Author: S. Anand - CEO, Gramener Check out the full webinar on the topic: https://info.gramener.com/interactive-powerpoint-for-operations

This document provides information on designing a data warehouse, including key concepts like star schemas, snowflake schemas, dimensions, facts, and granularity. It discusses why an OLTP database may not be suitable for reporting and emphasizes the importance of auditing in a data warehouse to track changes over time through lineage information. Dimension tables contain attributes and keys while fact tables contain measures and foreign keys to dimensions.

The document provides information on designing a data warehouse, including key concepts like star schemas, snowflake schemas, dimension tables, fact tables, and slowly changing dimensions. It discusses issues with reporting on operational databases and why a data warehouse is preferable. It also covers topics like auditing, hierarchies, and designing dimensions and fact tables.

According to the United States Bureau of Labor Statistics, software developers, including Tableau developers, will see a growth rate of 25% between 2021 and 2031, which is considerably higher than the average for all jobs. Facebook, Dell, Applied Systems, Booz Allen Hamilton, NetJets, University of California, Groupon, Sony Electronics, Sunguard, Bank of America, KPMG, and Verizon are just a few of the companies looking offering great Tableau career options for skilled tableau professionals. Therefore, a career in Tableau is the path to take if you want to work for well-known companies in the field.Connecting to Data Sources Preparing data and generating visualization with the extracted data. Analyzing the data and producing meaningful insights from it. Adding Measurements, Dimensions, and Calculations. Performing data modeling functionality. Making Hyper Extracts and Workbooks. Uploading Workbooks and Data Sources to the Tableau Development and QA Sites. Refreshing the extracts on the QA and development sites. Managing big data and Tableau server. Managing and using the Tableau platform to gain useful insights. Prepare reports utilizing various data modeling and visualization techniques. Create fresh KPIs and measure them regularly in the datasets. Gathering and normalizing data from various data sources Testing and publication of Dashboard and report. Creating a tabular report with the hierarchy in Tableau. Define access controls and put security measures in place as necessary. Prepares reports with the utmost precision and data drilling.Begin with an engaging introduction that captures the essence of Tableau and its significance in the world of data analytics and visualization. Mention the importance of choosing the right career path in the data industry and how Tableau plays a crucial role in this context. Table of Contents: What is Tableau? Define Tableau and its purpose in data visualization. Discuss its history and evolution in the data industry. Tableau Career Paths: Explore different career paths that professionals can pursue in the Tableau ecosystem, such as Tableau Developer, Tableau Consultant, Business Intelligence Analyst, and more. Highlight the diversity of roles available and the specific responsibilities associated with each. Skills Required for Tableau Careers: Detail the essential technical and soft skills that individuals need to excel in Tableau-related roles. Discuss proficiency in data analysis, data visualization, SQL, and other relevant skills. Emphasize the importance of continuous learning and skill development. Certifications in Tableau: Provide an overview of Tableau certifications, including Tableau Desktop Specialist, Tableau Desktop Certified Associate, and Tableau Desktop Certified Professional. Wrap up the article with a compelling conclusion that reinforces the importance of choosing the right Tableau career path, developing relevant skills, and pursuing certifications to thrive in the data industry.

This video will give you an idea about Data science for beginners. Also explain Data Science Process , Data Science Job Roles , Stages in Data Science Project