Leveraging HPE ALM & QuerySurge to test HPE Vertica

Completing the Data Equation In this presentation, we tackle 2 major challenges to assuring your data quality: 1) Test Data Generation 2) Data Validation We illustrate how GenRocket and QuerySurge, used in conjunction, can solve these challenges. Also see how they can be easily integrated into your Continuous Integration/Continuous Delivery pipeline. Session Overview - Primary challenges organizations are facing with their data projects - Key success factors for data validation & testing - How to setup a workflow around test data generation and data validation using GenRocket & QuerySurge - How to automate this workflow in your CI/CD DataOps pipeline to see the video, go to https://www.youtube.com/embed/Zy25i74l-qo?autoplay=1&showinfo=0

This document discusses strategies for creating an effective data validation and testing process. It provides examples of common data issues found during testing such as missing data, wrong translations, and duplicate records. Solutions discussed include identifying important test points, reviewing data mappings, developing automated and manual testing approaches, and assessing how much data needs validation. The presentation also includes a case study of a company that improved its process by centralizing documentation, improving communication, and automating more of its testing.

This is a slide deck from QuerySurge's Big Data Testing webinar. Learn why Testing is pivotal to the success of your Big Data Strategy . Learn more at www.querysurge.com The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth. Learn why testing your enterprise's data is pivotal for success with big data, Hadoop and NoSQL. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data warehouse - all with one ETL testing tool. This information is geared towards: - Big Data & Data Warehouse Architects, - ETL Developers - ETL Testers, Big Data Testers - Data Analysts - Operations teams - Business Intelligence (BI) Architects - Data Management Officers & Directors You will learn how to: - Improve your Data Quality - Accelerate your data testing cycles - Reduce your costs & risks - Provide a huge ROI (as high as 1,300%)

Are You Ready? Stepping Up To The Big Data Challenge In 2016 - Learn why Testing is pivotal to the success of your Big Data Strategy. According to a new report by analyst firm IDG, 70% of enterprises have either deployed or are planning to deploy big data projects and programs this year due to the increase in the amount of data they need to manage. The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth. Learn why testing your enterprise's data is pivotal for success with big data and Hadoop. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data - all with one data testing tool.

ETL Testing: A primer for Testers on Data Warehouses, ETL, Business Intelligence and how to test them. Are you hearing and reading about Big Data, Enterprise Data Warehouses (EDW), the ETL Process and Business Intelligence (BI)? The software markets for EDW and BI are quickly approaching $22 billion, according to Gartner, and Big Data is growing at an exponential pace. Are you being tasked to test these environments or would you like to learn about them and be prepared for when you are asked to test them? RTTS, the Software Quality Experts, provided this groundbreaking webinar, based upon our many years of experience in providing software quality solutions for more than 400 companies. You will learn the answer to the following questions: • What is Big Data and what does it mean to me? • What are the business reasons for a building a Data Warehouse and for using Business Intelligence software? • How do Data Warehouses, Business Intelligence tools and ETL work from a technical perspective? • Who are the primary players in this software space? • How do I test these environments? • What tools should I use? This slide deck is geared towards:  QA Testers  Data Architects  Business Analysts  ETL Developers  Operations Teams  Project Managers ...and anyone else who is (a) new to the EDW space, (b) wants to be educated in the business and technical sides and (c) wants to understand how to test them.

The document discusses QuerySurge, an automated data testing solution that helps verify data quality and find errors. It notes that traditional data quality tools focus on profiling, cleansing and monitoring data, while QuerySurge also enables data testing through easy-to-use query wizards and comparison of source and target data without SQL coding. QuerySurge allows collaborative testing across teams and platforms, integrates with development tools, and can significantly reduce testing time and improve data quality.

QuerySurge is ETL automated testing tool, it has command line API and works with almost all ETL tools including DataStage and Informatica.

This document discusses automating enterprise application and data warehouse testing using QuerySurge. It begins with an introduction to QuerySurge and its modules for automating data interface testing. These modules allow testing across different data sources with no coding required. The document then covers data maturity models and how QuerySurge can help improve testing processes. It demonstrates how QuerySurge can automate testing to gain full coverage while decreasing testing time. In conclusion, it discusses how QuerySurge provides value through increased testing efficiency and data quality.

RTTS - the Software Quality Experts --------------------------------------------------------------------------------- RTTS (www.rttsweb.com) RTTS is the premier pure-play QA & Testing organization that specializes in Test Automation. Founded in 1996, with locations in New York (HQ), Atlanta, Philadelphia, Phoenix, RTTS has successfully completed engagements at over 600 companies. RTTS also has alliances with the top vendors in QA and testing, including IBM, Microsoft, HP and Oracle. --------------------------------------------------------------------------------- Services include: - Managed Testing Services - in the Cloud or on your premises - Test Management - Automated Functional Testing - Performance/Load Testing - Data Warehouse/ETL Testing - Big Data Testing - Mobile Testing - Application Security Testing ------------------------------------------------------------------------------------ - Training courses (in the Cloud, at our NY offices, or at your site) + Selenium training + IBM Rational RPT, RFT, RQM training + Appium training + Microsoft Visual Studio Load, Coded UI, Test Manager training + HP Quality Center/ALM UFT, Loadrunner training + Big Data Testing training + Data Warehouse Testing training -------------------------------------------------------------------------------------- RTTS also is the developer of QuerySurge (www.QuerySurge.com), the premier data testing tool - Data warehouse testing - ETL testing - Big Data testing (Hadoop, MongoDB, etc.) - Data Interface testing (SAP, PeopleSoft, etc.) - Data Migration testing - Database Upgrade testing

Session Overview ------------------------------------------------ During this webinar, we covered the following topics while demonstrating our plug-in for Azure DevOps: - Installing the QuerySurge Azure DevOps Extension - Key features of Azure DevOps - Azure DevOps Pipeline creation - QuerySurge offerings in the Azure Marketplace - Virtual machine options in the Azure Cloud - Azure Cloud versus on-prem deployment options for QuerySurge And we answered the following questions: - Is QuerySurge in the Azure Cloud the right solution for my team? - Where does QuerySurge fit into the Azure DevOps platform? - What are QuerySurge’s various offerings in the Azure Cloud? - If QuerySurge in the cloud is not the right choice, what is my best deployment option? T o see a recording of the wwebinar, go to: https://www.youtube.com/watch?v=Cd7P_nJOejE

Learn why testing your enterprise's data is pivotal for success with Big Data and Hadoop. See how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data warehouse - all with one ETL testing tool.

Big Data is perceived as a huge amount of data and information but it is a lot more than this. Big Data may be said to be a whole set of approach, tools and methods of processing large volumes of unstructured as well as structured data. The three parameters on which Big Data is defined i.e. Volume, Variety and Velocity describes how you have to process an enormous amount of data in different formats at different rates. QualiTest is the world’s second largest pure play software testing and QA company. Testing and QA is all that we do! visit us at: www.QualiTestGroup.com

Let’s face it: marketing is in a big data bubble. Everyone is talking about data: big data, data analytics, and big data analytics. At the root of all this data mania in marketing is the very real revolution that’s shaping more data-driven organizations. Big data is finally opening the door to the executive suite for a more hybrid creative-analytical method. The key question data raises is how do we use it to not only know more about our customers, but to directly grow our business in significant ways? Iron Mountain has the answer: broadly embrace testing and controlled experimentation as the new “operating system” of marketing. The answer to big data’s potential is big testing.

This document summarizes a Hadoop testing workshop agenda. The agenda covers testing fundamentals like unit tests, integration tests, and performance tests. It discusses why testing is important for catching bugs early and allowing for easy development. Specific best practices and examples are provided for writing unit tests for MapReduce jobs using MRUnit. Integration testing techniques using MiniMRCluster and MiniDFSCluster are also covered. The document concludes with suggestions for profiling and benchmarking performance as well as diagnosing issues using Hadoop APIs.

This document provides an overview and summary of a SQL Saturday event on automated database testing. It discusses: 1. The presenter's background and their company Protegra which focuses on Agile and Lean practices. 2. The learning objectives of the presentation which are around why and how to automate database testing using tools like tSQLt and SQLtest. 3. A comparison of Waterfall and Agile methodologies with a focus on how Agile lends itself better to test automation. 4. A demonstration of setting up and running simple tests using tSQLt to showcase how it can automate database testing and make it easier compared to traditional methods.

This document discusses challenges and opportunities in automating testing for data warehouses and BI systems. It notes that while BI projects have adopted agile methodologies, testing has not. Large and diverse data volumes make testing nearly infinite test cases difficult. It proposes a testing lifecycle and V-model for BI systems. Automating complex functional tests, SQL validation, reconciliation, and test data generation can help address challenges by shortening regression cycles and enabling continuous testing. Various automation tools are discussed, including how they can validate ETL processes and reporting integrity. Automation can help complete testing and ensure data quality, compliance, and performance.

Impetus webcast "Performance Testing of Big Data Applications" available at http://lf1.me/cqb/ This Impetus webcast talks about: • A solution approach to measure performance and throughput of Big Data applications • Insights into areas to focus for increasing the effectiveness of Big Data performance testing • Tools available to address Big Data specific performance related challenges

WEBINAR:Automated Testing of Microsoft Power BI Reports Learn how QuerySurge automates the testing of Microsoft Power BI reports in minutes using our new Power BI Testing Wizard. Learn: - How to utilize the QuerySurge -Power BI wizard to automate data validation tests against Microsoft Power BI Reports - How to quickly generate SQL using the Power BI wizard’s built-in SQL generator - How to handle Power BI report slicer variations in your data validation tests - How to access report data that has Row Level security enabled using the Power BI Wizard The Goal​ Gain valuable insights into how QuerySurge’s Power BI testing wizard can benefit your organization, including: - Providing a dramatic reduction in test development time through built-in SQL generation - Reduced skillset needed for test creation - Expanded coverage of your Microsoft Power BI report testing efforts For more, visit www.QuerySurge.com

This document provides guidance on creating a project plan for testing a data warehouse project. It discusses key aspects to consider such as reviewing documentation, estimating resources like test engineers, determining the number of ETL legs and release cycles, assessing test complexity, and ensuring the test automation tool QuerySurge is configured. An example project plan estimates the time to review documentation, identifies one test engineer and ETL leg, plans for four release cycles, and provides estimates of 7 low complexity, 21 medium complexity, and 8 high complexity tests.

This document discusses various business intelligence tools for data analysis including ETL, OLAP, reporting, and metadata tools. It provides evaluation criteria for selecting tools, such as considering budget, requirements, and technical skills. Popular tools are identified for each category, including Informatica, Cognos, and Oracle Warehouse Builder. Implementation requires determining sources, data volume, and transformations for ETL as well as performance needs and customization for OLAP and reporting.

This slide deck is from one of our 4 webinars in our half-day series in conjunction with Test Guild. Chris Thompson and Mike Calabrese, Senior Solution Architects and QuerySurge experts, provide great information, a demo and lots of humor in this webinar on how to implement DevOps for Data in your DataOps pipeline. This webinar was performed in conjunction with Test Guild. To watch the video, go to: https://youtu.be/1ihuRPgY_rs