{"id":22582,"date":"2021-01-25T11:25:21","date_gmt":"2021-01-25T11:25:21","guid":{"rendered":"https:\/\/www.experfy.com\/blog\/succeed-intelligent-era-end-to-end-data-management-framework\/"},"modified":"2023-09-05T13:07:51","modified_gmt":"2023-09-05T13:07:51","slug":"succeed-intelligent-era-end-to-end-data-management-framework","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/succeed-intelligent-era-end-to-end-data-management-framework\/","title":{"rendered":"Succeed in the Intelligent Era with an End-to-End Data Management Framework"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"22582\" class=\"elementor elementor-22582\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-449ca04 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"449ca04\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f26bed3\" data-id=\"f26bed3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-31ed0ab elementor-widget elementor-widget-text-editor\" data-id=\"31ed0ab\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The last decade has seen unprecedented advancements in\u00a0<a href=\"https:\/\/datafloq.com\/read\/?q=Artificial%20intelligence#utm=internal\" target=\"_blank\" rel=\"noreferrer noopener\">artificial intelligence<\/a>. We have moved towards a data-centric approach, and data is the center of everything digital. The data collected through different sources is refined, analyzed, and orchestrated with data platforms to generate intelligent insights that can facilitate the growth of any organization.<\/p>\n<p>The spread of these data platforms, coupled with the advancements in\u00a0<a href=\"https:\/\/datafloq.com\/read\/?q=Artificial%20intelligence#utm=internal\" target=\"_blank\" rel=\"noreferrer noopener\">artificial intelligence<\/a>, enable what has come to be known as the intelligent era. Enterprises are now making smart decisions \u2013 backed by actionable insights that also give them the guidance they need for the future.<\/p>\n\n<p>As an SAP partner, I was given the opportunity to explore the SAP Data Hub and get insights into the data management challenges organizations face in the new Intelligent Era.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-afd3645 elementor-widget elementor-widget-heading\" data-id=\"afd3645\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What to Expect in the Near Future<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9164af8 elementor-widget elementor-widget-text-editor\" data-id=\"9164af8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>With bigger horizons and a solid base to build on, we can expect organizations to settle down with data to be a more significant part of this intelligent era. The following points list what can be expected from the future:<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-518ae1d elementor-widget elementor-widget-text-editor\" data-id=\"518ae1d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul>\n<li>Enterprises will be able to generate data from any business, any person, and any device. This will be augmented by the\u00a0<a href=\"https:\/\/datafloq.com\/read\/?q=Internet%20of%20Things#utm=internal\" target=\"_blank\" rel=\"noreferrer noopener\">Internet of Things<\/a>\u00a0or\u00a0<a href=\"https:\/\/www.experfy.com\/blog\/iot\/iot-if-it-were-easy-everyone-would-be-doing-it\/\" target=\"_blank\" rel=\"noreferrer noopener\">IoT<\/a>\u00a0and the broader 3rd party data economy.<\/li>\n<li>We can expect better applications that are focused on improving the customer experience among many other things.<\/li>\n<li>Enterprises will be able to have access to information essential to their products and services. The sales sphere will be smarter than it is now, with many personalized tools and techniques, marketing to every customer out there.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-99c7bc6 elementor-widget elementor-widget-text-editor\" data-id=\"99c7bc6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Humans have surely done the tough part, and they need to be consistent to reap the fruits of AI. However, data management is a necessity that shouldn\u2019t be compromised. The foundation of all intelligence in the future and the benefits we mentioned above lie in the provision of data management. Data is the center of the IT landscape.<\/p>\n\n<p>Data that is properly structured and is duly managed from its arrival to when it is under process within analytic tools or business processes would generate the best insights and actions. The insights you generate to fuel your enterprise\u2019s intelligence and to take smart decisions will only be as good as the data that you have in your hands. Poor quality data and the lack of data leads to poor quality insights and bad decision-making. Thus, data management is a crucial facet of an intelligent environment that must not be ignored. Since it plays an important pivotal role in dictating and building the ecosystem of change, data itself requires stringent checking and management throughout the whole analytics and business process.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72116ab elementor-widget elementor-widget-heading\" data-id=\"72116ab\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What Hinders Companies from Performing in the Intelligent Era<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6ec31a8 elementor-widget elementor-widget-text-editor\" data-id=\"6ec31a8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Having talked about the shiny side of the intelligent world, there are also some major implications that require due attention as well. The SAP State of\u00a0<a href=\"https:\/\/datafloq.com\/read\/?q=Big%20data#utm=internal\" target=\"_blank\" rel=\"noreferrer noopener\">Big Data<\/a>\u00a0Study, published a year ago, revealed important statistics related to the challenges faced by organizations going smart.<\/p>\n\n<p>According to the results, almost 74 percent of enterprises felt that their data landscape\/ecosystem is too complex for them to understand, so much so that it is believed to limit their productivity and innovation in a way. 86 percent believed they weren\u2019t getting much value out of the data and 84 percent of all CEOs were extremely concerned about the quality of the data and how the insights generated through it could negatively impact decision-making in the future. This skepticism is further fueled by the fact that over $9.7 million are lost every year per average organization due to poor quality data and the resulting bad decisions made based on it.<\/p>\n\n<p>Enterprises and partners are realizing the benefits and the promise of an intelligent ecosystem by focusing on data transparency, by leveraging existing investments, by building new data processes, and by transforming data landscapes. They do plan to incorporate\u00a0<a href=\"https:\/\/datafloq.com\/read\/?q=Machine%20learning#utm=internal\" target=\"_blank\" rel=\"noreferrer noopener\">machine learning<\/a>\u00a0and open source technologies for insights, but the challenges cannot be ignored. These challenges include:<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-99f251c elementor-widget elementor-widget-heading\" data-id=\"99f251c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Siloed Data<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-15577f6 elementor-widget elementor-widget-text-editor\" data-id=\"15577f6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Siloed data is perhaps the biggest challenge that enterprises looking to go smart are facing. The presence of large sets of secluded data on public or private clouds such as Hadoop, Microsoft, Google, or Amazon Web Services makes it challenging for organizations to gather the data required for decision making. Data is no longer only the domain of Enterprise systems but it\u2019s being created by devices, 3rd parties, and derived from a myriad of sources and therefore the processing of data also needs to reflect the new data landscape data stores connecting, refining and utilizing wherever it resides. \u00a0\u00a0<\/p>\n\n<p>Most organizations want to run real-time analytics that gives them results and insights from their data on the go. But with these siloed platforms the data is scattered, inconsistent, and there is little potential for generating enterprise-wide insights in real-time. This concerns organizations and entrepreneurs as they try to search for potential options to help them solve this lack of available company-wide insights.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e751bfb elementor-widget elementor-widget-heading\" data-id=\"e751bfb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data Volume<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4733ba2 elementor-widget elementor-widget-text-editor\" data-id=\"4733ba2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Due to the Internet of Things with literally billions of connected sensors and devices, mobile data, social data like Facebook, Snapchat and others, new data types arise almost daily.<\/p>\n\n<p>The amount of data being generated and the need for digestion of this data volume is unheard of. Data volume, data generation velocity and data complexity increase to a level that has never been there before.<\/p>\n\n<p>It is not only a challenge of completely new data types in structured and unstructured data sources that get generated, but it is also a challenge of volume. \u00a0<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7be4dc0 elementor-widget elementor-widget-heading\" data-id=\"7be4dc0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data Migration and Integration<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-337d85f elementor-widget elementor-widget-text-editor\" data-id=\"337d85f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Data migration, or the integration of all data to a single data store is difficult to perform. The substantial increase in IoT data sources, volume and velocity, makes it hard to migrate data to a single source or integrate each source with all analytics and applications. It is often the case that analysis and decisions have to be made on data at the point of capture, at the edge, or on data in transit. Data migration and integrations also require significant expertise in the field of data management, which is scarce.<\/p>\n\n<p>The combination of these factors makes it complex and difficult to build an intelligent enterprise that uses data to the fullest potential. It is because of the complications involved here that 84 percent of all CEOs believe that their data landscape is particularly complex and requires simplification.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8d2c99a elementor-widget elementor-widget-heading\" data-id=\"8d2c99a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data Quality<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c49074e elementor-widget elementor-widget-text-editor\" data-id=\"c49074e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>It is simply impossible to handle the amount and complexity without software support: be it data quality management all the way up to\u00a0<a href=\"https:\/\/datafloq.com\/read\/?q=Machine%20learning#utm=internal\" target=\"_blank\" rel=\"noreferrer noopener\">machine learning<\/a>\u00a0and artificial intelligence. To understand the true meaning of data, help is required.<\/p>\n\n<p>We have seen companies are challenged by having diverse and separated data landscapes, they are challenged with growing and more complex new data types arising, they have a hard time to ensure data quality, to understand the full meaning of data, and now comes along another phenomenon to handle. Additionally, it is very challenging to ensure consistency of data quality and transformation across many different data silos as data cleansing and enrichment may be performed differently in each implementation without central governance and alignment.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-524487d elementor-widget elementor-widget-heading\" data-id=\"524487d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Need for an End-to-End Data Management Framework<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f723e11 elementor-widget elementor-widget-text-editor\" data-id=\"f723e11\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Enterprises drowning in the implications of data need an end-to-end management platform. Managing data on several public and private clouds can be too much to handle. A good end-to-end data management system should:<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dba53a7 elementor-widget elementor-widget-text-editor\" data-id=\"dba53a7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul>\n<li><strong>Unify Data<\/strong>: An organization should be able to orchestrate and unify all their distributed valuable data from public and private clouds with an end-to-end data management framework. This applies to both the data itself but also to the metadata that describes the data consistently which is be easy to find, understand, and utilize.<\/li>\n<li><strong>Simplify Landscape<\/strong>: Perhaps the most important functionality of an end-to-end data management system should be that it simplifies the landscape and makes it easier for enterprises to view and understand their data and work on it in one central place. Business users and IT users need to be able to discover the data and metadata and understand the lineage or how that data was sourced and transformed. Hindrances should be reduced to a minimum.<\/li>\n<li><strong>Handle Complexity<\/strong>: With the landscape already simplified, an end-to-end data management system should also handle the complexity by combining data from disparate data sources and make near real-time analyses easier. This enables faster development of new Analytics and decision processes through re-use, reduced redundancy, and making data before a service to users and processes. This simplification should also support the agility to adjust to new data, analytics, and adoption of new technologies to deliver the next generation of data-driven innovations to the business. The ability to re-use existing data integration, data processing, and coding is a must \u2013 no customer wants to re-implement productive process and data flows but rather focus on driving new value based on net innovations.<\/li>\n<li><strong>Centralize Governance<\/strong>: Data governance is a major concern for most managers, especially in the era of GDPR, which is why an end-to-end data management setup should centralize the governance and bring data access control over to the people that matter. Insight into of the metadata, profiles of data in the connected data stores, the data processes executed, and the end-to-end lineage on the interconnectivity is critical. \u00a0This driving understanding what data is available, defined, used, consumed, and if business and regulatory policies are being complied with.<\/li>\n<li><strong>Data Management<\/strong>: Finally, and perhaps most importantly, an end-to-end solution should help you in managing your data better. It should provide a single solution that gives you full visibility into your data without leaving its original home. Data should flow through a data pipeline where it is collected, orchestrated and cleansed, so you do not need to worry about the poor quality of insights and decision-making. This is not limited to the data integration flow but also to the process operations that are executed on data as it flows across the landscape. This A data management framework should manage your data for all future needs and even trigger actions based on predefined parameters.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e7e064e elementor-widget elementor-widget-heading\" data-id=\"e7e064e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">End-to-End Data Management Systems at Work<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-95545bb elementor-widget elementor-widget-text-editor\" data-id=\"95545bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The SAP Data Hub provides an end-to-end data management system to augment the efforts of enterprises towards a smarter future. Furthermore, embedded Machine Learning Algorithms and the integration to IoT provide SAP Data Hub with the necessary functionality to enable its customers to become truly intelligent enterprises. Kaeser Compressors SE, a manufacturer of compressed air solutions, is a user of the SAP Data Hub. The manufacturer can now integrate IoT data with customer data and equipment information to generate close to real-time insights allowing the company to adjust their business processes on the fly resulting in a better productivity rate, more agile ticket handling\/customer service, and ultimately saving costs for the company.<\/p>\n\n<p>The latest SAP Data Hub release provides customers with a lean deployment and easy installation option offering a complete containerized setup for decentralized data processing. Enhanced Metadata Management and Cataloging functionality that were introduced with the latest Data Hub release allow customers to quickly and easily get an overview of their data sources, under the lineage of data and operations, define and manage these in one central place, which is critical when it comes to compliance topics like GDPR. \u00a0Additionally, SAP Data Hub is previewing new capabilities in integrating ABAP based systems into pipelines, integrate cloud data integration tools, and to integrate SAP Data Hub into BPM designed business processes with the wider data landscape.<\/p>\n\n<p>SAP\u2019s Hana business data platform carries all the benefits of an end-to-end data management platform mentioned above and builds together with SAP Data Hub the foundation for the Intelligent Enterprise. The HANA data platform together with the functionality enabled through SAP Data Hub helped Kaeser Compressors increase productivity and customer service by taking charge of the complexities involved in the data management process and delivering the insights generated through their data. The biggest benefit of SAP Data Hub that customers have reported is its ability to bring their structured and unstructured data together without the high costs of moving or replicating the data.<\/p>\n\n<p>SAP\u2019s Data Hub creates a foundation for all intelligent enterprises and augments the efforts of thought leaders in the creation of a smarter world.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Enterprises drowning in the implications of data need an end-to-end management platform. Managing data on several public and private clouds can be too much to handle. Know what a good end-to-end data management system should include.<\/p>\n","protected":false},"author":45,"featured_media":18526,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[183],"tags":[977,767,1281,1282],"ppma_author":[2389],"class_list":["post-22582","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","tag-data-management","tag-data-quality","tag-end-to-end-data-management-framework","tag-siloed-data"],"authors":[{"term_id":2389,"user_id":45,"is_guest":0,"slug":"ronald-van-loon","display_name":"Ronald Loon","avatar_url":"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/04\/medium_b8ed1652-503c-4009-b367-02519ec656a4-150x150.png","user_url":"http:\/\/www.intelligentworld.org%20","last_name":"Loon","first_name":"Ronald","job_title":"","description":"Ronald van Loon is a\u00a0top10 Big Data, Data Science, IoT, and BI Influencer. He is recognized for his work in the field of digital transformation by such publications and organizations as Onalytica, Dataconomy, and Klout. He is also an author for a number of leading big data websites, including The Guardian, The Datafloq, and Data Science Central, and regularly speaks at renowned events and conferences. You can reach him at <a href=\"https:\/\/www.linkedin.com\/in\/ronald-van-loon-5411a\/?ppe=1\" target=\"_blank\" rel=\"noopener\">LinkedIn<\/a>\u00a0and\u00a0<a href=\"https:\/\/twitter.com\/Ronald_vanLoon\" target=\"_blank\" rel=\"noopener\">Twitter<\/a>."}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22582","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/45"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=22582"}],"version-history":[{"count":5,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22582\/revisions"}],"predecessor-version":[{"id":32392,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22582\/revisions\/32392"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/18526"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=22582"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=22582"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=22582"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=22582"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}