{"id":3881,"date":"2016-06-20T07:02:06","date_gmt":"2016-06-20T07:02:06","guid":{"rendered":"https:\/\/coforge.site\/cigniti_new\/\/cigniti-services\/big-data-analytics-testing\/"},"modified":"2024-09-16T06:50:19","modified_gmt":"2024-09-16T06:50:19","slug":"bigdata-testing","status":"publish","type":"page","link":"https:\/\/coforge.site\/cigniti_new\/services\/bigdata-testing\/","title":{"rendered":"Big Data &#038; Analytics Testing"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row full_width=&#8221;stretch_row&#8221; el_class=&#8221;main-banner&#8221;][vc_column][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;AI-based Predictive Analytics for Automated Big Data Testing Services&#8221; font_container=&#8221;tag:h1|font_size:44px|text_align:left|color:%23ffffff|line_height:50px&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:600%20bold%20regular%3A600%3Anormal&#8221; css=&#8221;.vc_custom_1587027721778{margin-bottom: 15px !important;}&#8221;][vc_column_text]<\/p>\n<h2 style=\"font-size: 26px; color: white; font-weight: 300; line-height: 28px; letter-spacing: -.5px;\">Data migration testing using open source Big Data testing tools<\/h2>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;section-bg&#8221;][vc_column width=&#8221;1\/2&#8243; css=&#8221;.vc_custom_1573463465427{padding-right: 0px !important;padding-left: 0px !important;}&#8221;][vc_single_image image=&#8221;75285&#8243; img_size=&#8221;full&#8221; onclick=&#8221;custom_link&#8221; link=&#8221;https:\/\/coforge.site\/cigniti_new\/resource\/case-studies\/big-data-testing-development-secure-search-applications\/&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_row_inner el_class=&#8221;casestudy-bg&#8221;][vc_column_inner][vc_custom_heading text=&#8221;Big Data Testing for building Secure, Scalable and cost-effective search apps&#8221; font_container=&#8221;tag:h3|font_size:24px|text_align:left|color:%23000066|line_height:30px&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:600%20bold%20regular%3A600%3Anormal&#8221;][vc_column_text]The speed and efficiency of Enterprise search systems to skim and sort through gargantuan cloud library make them highly valuable. A global Enterprise search solutions provider wanted to perform big data testing and achieve faster time-to-market.<\/p>\n<p>Read how Cigniti overcame the challenge of complex test data management and spearheaded reduction of 15% test cycle time and 20% costs.[\/vc_column_text][vc_btn title=&#8221;Download Case Study&#8221; style=&#8221;flat&#8221; shape=&#8221;square&#8221; color=&#8221;warning&#8221; size=&#8221;lg&#8221; link=&#8221;url:https%3A%2F%2Fcigniti.com%2Fresource%2Fcase-studies%2Fbig-data-testing-development-secure-search-applications%2F||target:%20_blank|&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221; bg_type=&#8221;bg_color&#8221; el_class=&#8221;section-bg&#8221; bg_color_value=&#8221;#f7f7f7&#8243;][vc_column width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;Big Data Automation Testing &#8211; Needs &amp; Challenges&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:left|color:%23000066|line_height:Normal&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:300%20light%20regular%3A300%3Anormal&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text]Testing Big Data applications requires a scientific temperament, analytical skills, and deep and practical understanding of data science. Following are a few needs and challenges that make automated Big Data testing a must.<\/p>\n<ul style=\"list-style-type: inherit; padding-left: 40px;\">\n<li><strong>Increasing need for live integration of information:<\/strong> Enterprises need to have constantly clean and reliable data. This can only be ensured through end-to-end testing of the data sources and integrators.<\/li>\n<li><strong>Instant data collection &amp; deployment:<\/strong> Simply deploying the data isn\u2019t enough. Enterprises need AI-based predictive data analytics testing to effectively take Decisive Actions by analysing the insights from the minute patterns in large data sets. Unless the apps &amp; data feeds are tested &amp; certified for live deployment, correct decisions cannot be made.<\/li>\n<li><strong>Migrating legacy to new systems:<\/strong> While migrating data from legacy systems, there are high chances of disruption\/downtime, data integration challenges, and loss of data. Data Migration Testing helps verify all functional &amp; non-functional aspects of the app post-migration.<\/li>\n<li><strong>Real-time scalability challenges:<\/strong> Big Data apps need to match the level of scalability &amp; data processing involved in a given scenario. Any error in the architectural elements of Big Data apps can lead to severe business impact. Software testing involving smarter data sampling, cataloging techniques, &amp; high-end big data performance testing capabilities are thus critical to meet the scalability problems of Big Data apps.<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_type=&#8221;bg_color&#8221; bg_override=&#8221;full&#8221; bg_color_value=&#8221;#4d6b8d&#8221; el_class=&#8221;section-bg&#8221;][vc_column width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;Cigniti Big Data Automation Testing Offerings &amp; Value Add&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:left|color:%23ffffff|line_height:Normal&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:300%20light%20regular%3A300%3Anormal&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text]<\/p>\n<p style=\"color: #fff;\">Cigniti\u2019s comprehensive Big Data automation testing helps automate repeatable activities &amp; includes the following offerings.<\/p>\n<p style=\"margin-bottom: 0px; color: #fff;\"><strong>Increasing need for live integration of information<\/strong><\/p>\n<ul style=\"list-style-type: inherit; padding-left: 40px; color: #fff;\">\n<li>Evaluate the reporting app for end-user\u2019s adaptability<\/li>\n<li>Review the observations with user &amp; dev group<\/li>\n<\/ul>\n<p style=\"margin-bottom: 0px;\"><strong style=\"color: #fff;\">System &amp; Integration Testing<\/strong><\/p>\n<ul style=\"list-style-type: inherit; padding-left: 40px; color: #fff;\">\n<li>API testing &amp; validation of business rules<\/li>\n<li>End-to-end system testing from sources to target<\/li>\n<li>Validate outbound interfaces &amp; downstream data<\/li>\n<\/ul>\n<p style=\"margin-bottom: 0px;\"><strong style=\"color: #fff;\">Requirements Ambiguity Testing<\/strong><\/p>\n<ul style=\"list-style-type: inherit; padding-left: 40px; color: #fff;\">\n<li>Identify ambiguities (Words, Phrases &amp; Logic) from business requirements<\/li>\n<li>Create Requirements Ambiguity Report &amp; review with business &amp; development teams<\/li>\n<\/ul>\n<p style=\"margin-bottom: 0px;\"><strong style=\"color: #fff;\">Data Quality &amp; Extract, Transform, Load (ETL) Testing<\/strong><\/p>\n<ul style=\"list-style-type: inherit; padding-left: 40px; color: #fff;\">\n<li>Data model, Meta data, data types, formats, Field mapping, Referential integrities (-checking if all data references are valid), &amp; Surrogate keys (-unique identifiers)<\/li>\n<li>ETL logic, Error logic and boundary conditions<\/li>\n<\/ul>\n<p style=\"margin-bottom: 0px;\"><strong style=\"color: #fff;\">DW Dashboards\/Reports Testing<\/strong><\/p>\n<ul style=\"list-style-type: inherit; padding-left: 40px; color: #fff;\">\n<li>Hierarchies, Rollups (summarized datapoints), navigation, drill downs<\/li>\n<li>Security (user\/roles authentication, data security)<\/li>\n<li>Alerts, notifications (Emails, Smart Devices etc.)<\/li>\n<li>Support end user business process validation &amp; test case execution &amp; defect analysis<\/li>\n<\/ul>\n<p style=\"margin-bottom: 0px;\"><strong style=\"color: #fff;\">Big data Performance &amp; Stress Testing<\/strong><\/p>\n<ul style=\"color: white; list-style-type: inherit; padding-left: 40px;\">\n<li>Performance testing of the DW &amp; BI Apps<\/li>\n<li>Stress test of the application with peak workload<\/li>\n<li>Test the Reports response time as per SLAs<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1597906822884{padding-top: 55px !important;padding-bottom: 35px !important;}&#8221; el_class=&#8221;tools&#8221;][vc_column][vc_custom_heading text=&#8221;Technology &amp; Tools Expertise&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:center|color:%23000066|line_height:40px&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:300%20light%20regular%3A300%3Anormal&#8221;][vc_row_inner][vc_column_inner]<div class=\"porto-carousel owl-carousel has-ccols ccols-xl-6 ccols-lg-4 ccols-md-3 ccols-sm-2 ccols-1 stage-margin rounded-nav\" data-plugin-options=\"{&quot;stagePadding&quot;:40,&quot;margin&quot;:10,&quot;autoplay&quot;:&quot;yes&quot;,&quot;autoplayTimeout&quot;:5000,&quot;autoplayHoverPause&quot;:false,&quot;items&quot;:6,&quot;lg&quot;:4,&quot;md&quot;:3,&quot;sm&quot;:2,&quot;xs&quot;:1,&quot;nav&quot;:&quot;yes&quot;,&quot;dots&quot;:false,&quot;animateIn&quot;:&quot;&quot;,&quot;animateOut&quot;:&quot;&quot;,&quot;loop&quot;:&quot;yes&quot;,&quot;center&quot;:false,&quot;video&quot;:false,&quot;lazyLoad&quot;:false,&quot;fullscreen&quot;:false}\">[vc_single_image image=&#8221;75184&#8243; img_size=&#8221;full&#8221; alignment=&#8221;center&#8221;][vc_single_image image=&#8221;74907&#8243; img_size=&#8221;full&#8221; alignment=&#8221;center&#8221;][vc_single_image image=&#8221;74442&#8243; img_size=&#8221;full&#8221; alignment=&#8221;center&#8221;][vc_single_image image=&#8221;74893&#8243; img_size=&#8221;full&#8221; alignment=&#8221;center&#8221;][vc_single_image image=&#8221;75187&#8243; img_size=&#8221;full&#8221; alignment=&#8221;center&#8221;][vc_single_image image=&#8221;75188&#8243; img_size=&#8221;full&#8221; alignment=&#8221;center&#8221;][vc_single_image image=&#8221;80762&#8243; img_size=&#8221;full&#8221; alignment=&#8221;center&#8221;]<\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row_content_no_spaces&#8221;][vc_column width=&#8221;1\/2&#8243; section_text_color=&#8221;light&#8221; section_skin=&#8221;light&#8221;][vc_row_inner css=&#8221;.vc_custom_1602834900786{background-color: #767f94 !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221;][vc_column_inner el_class=&#8221;first-box&#8221; width=&#8221;1\/2&#8243;][vc_column_text]<\/p>\n<h4>Deliver value faster with Augmented Analytics<\/h4>\n<p><a href=\"\/blog\/augmented-analytics-business-intelligence-solutions\/\" target=\"_blank\" rel=\"noopener\" class=\"broken_link\">Read more<\/a>[\/vc_column_text][vc_column_text el_class=&#8221;blog-arrow3&#8243;]<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=&#8221;first-box-2&#8243; width=&#8221;1\/2&#8243;]<div class=\"porto-image-frame  qes-img\"><span class=\"thumb-info thumb-info-hide-wrapper-bg\"><a href=\"\/blog\/augmented-analytics-business-intelligence-solutions\/\" title=\"\" target=\"_blank\"><span class=\"thumb-info-wrapper\"><img decoding=\"async\" alt=\"\" src=\"\/\/coforge.site\/cigniti_new\/wp-content\/uploads\/bigdata-blog-new.jpg\" class=\"img-responsive\" width=\"t\" height=\"t\"><\/span><\/a><\/span><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_row_inner css=&#8221;.vc_custom_1602834912105{background-color: #005d9a !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221;][vc_column_inner el_class=&#8221;first-box&#8221; width=&#8221;1\/2&#8243;][vc_column_text]<\/p>\n<h4>Turning the benefits of Big Data from concept to reality<\/h4>\n<p><a href=\"\/blog\/big-data-analytics-concept-to-reality\/\" target=\"_blank\" rel=\"noopener\" class=\"broken_link\">Read more<\/a>[\/vc_column_text][vc_column_text el_class=&#8221;blog-arrow2&#8243;]<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=&#8221;first-box-2&#8243; width=&#8221;1\/2&#8243;]<div class=\"porto-image-frame  qes-img\"><span class=\"thumb-info thumb-info-hide-wrapper-bg\"><a href=\"\/blog\/big-data-analytics-concept-to-reality\/\" title=\"\" target=\"_blank\"><span class=\"thumb-info-wrapper\"><img decoding=\"async\" alt=\"\" src=\"\/\/coforge.site\/cigniti_new\/wp-content\/uploads\/big-data-blog-new.jpg\" class=\"img-responsive\" width=\"t\" height=\"t\"><\/span><\/a><\/span><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row_content_no_spaces&#8221; bg_type=&#8221;bg_color&#8221; bg_override=&#8221;full&#8221; bg_color_value=&#8221;#618300&#8243;][vc_column width=&#8221;1\/2&#8243; section_text_color=&#8221;light&#8221; section_skin=&#8221;light&#8221;][vc_row_inner css=&#8221;.vc_custom_1596793520702{background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221;][vc_column_inner el_class=&#8221;first-box&#8221;][vc_column_text]<\/p>\n<h4>Multi-iteration testing methodology for leading bio-pharmaceutical company<\/h4>\n<p><a href=\"\/resources\/case-studies\/\" target=\"_blank\" rel=\"noopener\">Read more<\/a>[\/vc_column_text][vc_column_text el_class=&#8221;blog-arrow1&#8243;]<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_row_inner css=&#8221;.vc_custom_1596793508477{background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221;][vc_column_inner]<div class=\"porto-image-frame  qes-img\"><span class=\"thumb-info thumb-info-hide-wrapper-bg\"><a href=\"\/resource\/case-studies\/biopharmaceutical-big-data-multi-iteration-simulation-testing-etl-dw-bi\/\" title=\"\" target=\"_blank\"><span class=\"thumb-info-wrapper\"><img decoding=\"async\" alt=\"\" src=\"\/\/coforge.site\/cigniti_new\/wp-content\/uploads\/bigdata-cs.jpg\" class=\"img-responsive\" width=\"t\" height=\"t\"><\/span><\/a><\/span><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;section-bg&#8221;][vc_column width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;Data Integration &#8211; Drawing Large &amp; Disparate Data Sets Together in Real-Time&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:left|color:%23000066|line_height:Normal&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:300%20light%20regular%3A300%3Anormal&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text]Current data integration platforms which have been built for an older generation of data challenges, limit IT\u2019s ability to support the business. In order to keep up, enterprises need to look at next-generation data integration techniques &amp; platforms such as API testing &amp; validation of business rules, outbound interfaces &amp; downstream data.<\/p>\n<p>They need to perform end-to-end system testing &amp; integration testing, and develop the ability to understand, analyze and create test sets that encompass multiple data sets. This is vital to ensure comprehensive Big Data testing, data analytics testing, visualization testing, and data migration testing.[\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_type=&#8221;bg_color&#8221; bg_override=&#8221;full&#8221; bg_color_value=&#8221;#d6faf9&#8243; el_class=&#8221;section-bg&#8221;][vc_column width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;Testing Data Intensive Applications &amp; Business Intelligence Solutions&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:left|color:%23000066|line_height:Normal&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:300%20light%20regular%3A300%3Anormal&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text]Cigniti leverages its experience of having tested large scale data warehousing and business intelligence applications to offer a host of Big Data testing services and solutions such as BI application Usability Testing. Cigniti\u2019s open source big data testing tools help evaluate the\u00a0reporting app for end-user\u2019s adaptability and continuously review the observations with user &amp; dev group, as a part of our Agile and DevOps testing.[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=&#8221;section-bg&#8221;][vc_column width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;Testing New Age Big Data Applications \u2013Cigniti Testlets&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:left|color:%23000066|line_height:Normal&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:300%20light%20regular%3A300%3Anormal&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text]Cigniti Testlets offer point solutions for all the problems that a new age Big Data application would have to be go through before being certified with QA levels that match industry standards.<\/p>\n<p style=\"margin-bottom: 0px;\">Cigniti has developed proprietary Testlets for:<\/p>\n<ul style=\"list-style-type: inherit; padding-left: 40px;\">\n<li>Consumer Partitioning testing<\/li>\n<li>Social Indexing testing<\/li>\n<li>Data Mutation testing<\/li>\n<li>Testing in Production testing<\/li>\n<li>Performance testing<\/li>\n<li>Security testing<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221; bg_type=&#8221;bg_color&#8221; el_class=&#8221;section-bg&#8221; bg_color_value=&#8221;#f2f2f2&#8243;][vc_column width=&#8221;1\/2&#8243;][vc_row_inner][vc_column_inner][vc_custom_heading text=&#8221;Big Data Testing Expertise &amp; Framework&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:left|color:%23000066|line_height:Normal&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:300%20light%20regular%3A300%3Anormal&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;50+&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:left|color:%23000066|line_height:40px&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:800%20bold%20regular%3A800%3Anormal&#8221; css=&#8221;.vc_custom_1585027685764{margin-bottom: 5px !important;}&#8221;][vc_column_text]Hadoop certified test professionals[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;200+&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:left|color:%23000066|line_height:40px&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:800%20bold%20regular%3A800%3Anormal&#8221; css=&#8221;.vc_custom_1585027731665{margin-bottom: 5px !important;}&#8221;][vc_column_text]<\/p>\n<div class=\"wpb_text_column wpb_content_element \">\n<div class=\"wpb_wrapper\">\n<p>test professionals with expertise in data analytics and data quality testing<\/p>\n<\/div>\n<\/div>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row bg_type=&#8221;bg_color&#8221; bg_override=&#8221;full&#8221; bg_color_value=&#8221;#001661&#8243; el_class=&#8221;section-bg&#8221;][vc_column][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;Big Data Testing Framework&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:left|color:%23ffffff|line_height:40px&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:300%20light%20regular%3A300%3Anormal&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]<strong style=\"color: white;\">Cigniti\u2019s big data testing framework provides the following benefits:<\/strong>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=&#8221;1\/4&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;.vc_custom_1662467042942{margin-top: -15px !important;}&#8221;]<\/p>\n<ul style=\"color: white; list-style-type: inherit; padding-left: 40px;\">\n<li>Raw data analysis (structured &amp; unstructured)<\/li>\n<li>Validation of data load frequency, Query processing, scheduling of jobs, load dependency checks<\/li>\n<li>ETL validations<\/li>\n<li>Metadata layer testing<\/li>\n<li>Test data creation and verification<\/li>\n<li>High-volume and high-scale tests<\/li>\n<li>Performance and failover tests<\/li>\n<li>Cloud testing for the data warehouses<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_column_text css=&#8221;.vc_custom_1662467052918{margin-top: -15px !important;}&#8221;]<\/p>\n<ul style=\"color: white; list-style-type: inherit; padding-left: 40px;\">\n<li>Reliability testing<\/li>\n<li>Testing statistical, time series and probabilistic analysis<\/li>\n<li>Validate AI-based predictive data models<\/li>\n<li>Mapping of every field in the report with the schema and Source System values<\/li>\n<li>Layout format, style sheets, prompts and filters attributes and metrics on the report<\/li>\n<li>Drilling, sorting and export functions of the reports in the Web environment<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row bg_type=&#8221;bg_color&#8221; bg_override=&#8221;full&#8221; css=&#8221;.vc_custom_1602836936835{padding-top: 55px !important;padding-bottom: 55px !important;}&#8221; bg_color_value=&#8221;#f2f2f2&#8243;][vc_column][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;Features of Cigniti\u2019s Database Test Automation Framework&#8221; font_container=&#8221;tag:h2|font_size:36px|text_align:left|color:%23000066|line_height:Normal&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:300%20light%20regular%3A300%3Anormal&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]<\/p>\n<p style=\"margin-bottom: 0px;\"><strong>Cigniti\u2019s database test automation framework:<\/strong><\/p>\n<ul style=\"list-style-type: inherit; padding-left: 40px;\">\n<li>Enables creation of reusable scripts on the source &amp; target databases for the critical data elements<\/li>\n<li>Cigniti\u2019s database test automation framework:\n<ul style=\"list-style-type: circle; padding-left: 40px;\">\n<li>Customized testing tools (using Excel macros, VB scripts, Java scripts, Unix scripts) for the data validations<\/li>\n<li>Use\/build automated tools to compare pre-migration &amp; post-migration data sets<\/li>\n<li>Supports development of reusable automation test scripts based on functional requirements<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p style=\"margin-bottom: 0px;\"><strong>Automated ETL Testing with Informatica\/SSIS Package:<\/strong><\/p>\n<ul style=\"list-style-type: inherit; padding-left: 40px;\">\n<li>Extract Data from Source<\/li>\n<li>Transform data using Informatics Transformation<\/li>\n<li>Load the data in Destinatio<\/li>\n<li>Verify the destination data<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row bg_type=&#8221;bg_color&#8221; bg_override=&#8221;full&#8221; el_id=&#8221;contact&#8221; bg_color_value=&#8221;#0C0A5A&#8221;][vc_column][vc_custom_heading text=&#8221;Contact Us&#8221; font_container=&#8221;tag:h2|text_align:center|color:%23ffffff&#8221; use_theme_fonts=&#8221;yes&#8221; el_class=&#8221;m-t-lg m-b-none&#8221;][vc_column_text el_class=&#8221;m-b-none&#8221;]<\/p>\n<p style=\"text-align: center; color: white;\">Consult our experienced team of experts for overcoming your challenges related to big data testing, data migration testing, data analytics testing, and big data performance testing.<\/p>\n<p>[\/vc_column_text][vc_column_text]<iframe class=\"utm-src\" style=\"border: 0;\" src=\"https:\/\/engage.cigniti.com\/l\/914201\/2021-02-26\/fhy\" width=\"100%\" height=\"320\" frameborder=\"0\"><\/iframe>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row full_width=&#8221;stretch_row&#8221; el_class=&#8221;main-banner&#8221;][vc_column][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_custom_heading text=&#8221;AI-based Predictive Analytics for Automated Big Data Testing Services&#8221; font_container=&#8221;tag:h1|font_size:44px|text_align:left|color:%23ffffff|line_height:50px&#8221; google_fonts=&#8221;font_family:Open%20Sans%3A300%2C300italic%2Cregular%2Citalic%2C600%2C600italic%2C700%2C700italic%2C800%2C800italic|font_style:600%20bold%20regular%3A600%3Anormal&#8221; css=&#8221;.vc_custom_1587027721778{margin-bottom: 15px !important;}&#8221;][vc_column_text] Data migration testing using open source Big Data testing tools [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;section-bg&#8221;][vc_column width=&#8221;1\/2&#8243; css=&#8221;.vc_custom_1573463465427{padding-right: 0px !important;padding-left: 0px !important;}&#8221;][vc_single_image image=&#8221;75285&#8243; img_size=&#8221;full&#8221; onclick=&#8221;custom_link&#8221; link=&#8221;https:\/\/coforge.site\/cigniti_new\/resource\/case-studies\/big-data-testing-development-secure-search-applications\/&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_row_inner el_class=&#8221;casestudy-bg&#8221;][vc_column_inner][vc_custom_heading text=&#8221;Big Data Testing for building Secure, Scalable and cost-effective search apps&#8221; font_container=&#8221;tag:h3|font_size:24px|text_align:left|color:%23000066|line_height:30px&#8221; [&hellip;]<\/p>\n","protected":false},"author":24,"featured_media":0,"parent":10472,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-3881","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/coforge.site\/cigniti_new\/wp-json\/wp\/v2\/pages\/3881","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coforge.site\/cigniti_new\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/coforge.site\/cigniti_new\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/coforge.site\/cigniti_new\/wp-json\/wp\/v2\/users\/24"}],"replies":[{"embeddable":true,"href":"https:\/\/coforge.site\/cigniti_new\/wp-json\/wp\/v2\/comments?post=3881"}],"version-history":[{"count":0,"href":"https:\/\/coforge.site\/cigniti_new\/wp-json\/wp\/v2\/pages\/3881\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/coforge.site\/cigniti_new\/wp-json\/wp\/v2\/pages\/10472"}],"wp:attachment":[{"href":"https:\/\/coforge.site\/cigniti_new\/wp-json\/wp\/v2\/media?parent=3881"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}