{"id":23596,"date":"2026-06-28T12:00:52","date_gmt":"2026-06-28T12:00:52","guid":{"rendered":"https:\/\/engineerbabu.com\/blog\/?p=23596"},"modified":"2026-06-28T15:59:42","modified_gmt":"2026-06-28T15:59:42","slug":"build-a-business-intelligence-dashboard","status":"publish","type":"post","link":"https:\/\/engineerbabu.com\/blog\/build-a-business-intelligence-dashboard\/","title":{"rendered":"How to Build a Real-Time Business Intelligence Dashboard &#8211; Multi-Source Connectors, KPI Alerting, Self-Serve Analytics 2026"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Every business has data. Most businesses cannot use their data effectively because accessing it requires writing SQL (a skill most business users lack) or waiting for an analyst to run a report. A BI dashboard platform solves both, making data accessible to non-technical users through interactive visual interfaces, and making data current through real-time pipelines.<\/span><\/p>\n<h2><b>Business Intelligence Dashboard Software Development for Modern Enterprises<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Organizations generate massive volumes of operational, financial, marketing, and customer data every day. Yet much of this information remains underutilized because business users depend on technical teams to write SQL queries, prepare reports, or build dashboards.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A modern Business Intelligence (BI) platform democratizes data access by connecting multiple data sources, transforming raw information into business-friendly metrics, and delivering real-time dashboards with interactive visualizations.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The result is faster decision-making, improved operational visibility, and data-driven business growth.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At <\/span><a href=\"http:\/\/engineerbabu.com\"><span style=\"font-weight: 400;\">EngineerBabu<\/span><\/a><span style=\"font-weight: 400;\">, we build enterprise analytics platforms with expertise in Data Engineering, <\/span><a href=\"https:\/\/engineerbabu.com\/services\/ai-development\"><span style=\"font-weight: 400;\">AI Development<\/span><\/a><span style=\"font-weight: 400;\">, Business Intelligence Solutions, and Cloud Data Platforms. Our BI solutions help organizations centralize data, automate reporting, and empower teams with self-service analytics.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-23610\" src=\"https:\/\/engineerbabu.com\/blog\/wp-content\/uploads\/2026\/06\/bi-01-dashboard.png\" alt=\"\" width=\"2560\" height=\"1600\" title=\"\"><\/p>\n<h2><b>Core Capabilities of a Modern BI Dashboard Platform<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Enterprise BI software should do more than display charts. It should create a complete analytics ecosystem that transforms scattered business data into actionable insights.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Key platform capabilities include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Connectors for databases, SaaS applications, APIs, and cloud storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automated ELT pipelines for continuous data synchronization<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Centralized cloud data warehouse<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Business-friendly semantic layer for consistent metrics<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Drag-and-drop dashboard creation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Natural language analytics using AI<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Real-time KPI monitoring and anomaly detection<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Role-based permissions and secure data access<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Embedded analytics for customer-facing applications<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These capabilities enable technical and non-technical users alike to explore data without relying on manual reporting processes.<\/span><\/p>\n<h2><b>Module 1 &#8211; Multi-Source Data Connectors<\/b><\/h2>\n<p><b>Connector library:<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Category<\/b><\/td>\n<td><b>Sources<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Databases<\/span><\/td>\n<td><span style=\"font-weight: 400;\">PostgreSQL, MySQL, BigQuery, Snowflake, Redshift, SQL Server<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">SaaS<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Salesforce, HubSpot, Stripe, Zendesk, Jira, Google Analytics<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">File sources<\/span><\/td>\n<td><span style=\"font-weight: 400;\">CSV upload, S3, Google Drive, SFTP<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">APIs<\/span><\/td>\n<td><span style=\"font-weight: 400;\">REST APIs with custom authentication<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Streaming<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Kafka, Kinesis<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">ERPs<\/span><\/td>\n<td><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.google.com\/aclk?sa=L&amp;ai=DChsSEwji6uHnpqqVAxXxbA8CHVh7EMEYACICCAEQARoCdGI&amp;ae=2&amp;co=1&amp;ase=2&amp;gclid=Cj0KCQjwjIPSBhCCARIsABGyK7v_tCTwqpoGfDK8u9VhxEfiy0qI2GOsMI_Vh9pdqxPXxpiWoNcOxtsaAtVHEALw_wcB&amp;cid=CAASZuRoJv5qVFe1uhI-rT5qLGsgXWaAc55Mq0e5UyMsgFdZwTln68hGSQTPLueKXEUNdnyyinSHU0sxe1zIFu8lddXOzjKQxu_TCQCmHS1zeYppPNEtRNIfI4nZ_9LzM4vWB9C5aSJHoQ&amp;cce=2&amp;category=acrcp_v1_71&amp;sig=AOD64_02TpZNwf4C0xcpzdWpr4Nec_mkbQ&amp;q&amp;nis=4&amp;adurl&amp;ved=2ahUKEwj49drnpqqVAxWdm68BHb_zG4oQ0Qx6BAgPEAE\" target=\"_blank\" rel=\"noopener\">SAP<\/a>, Oracle NetSuite, Microsoft Dynamics<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>Each connector handles:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Authentication (OAuth2, API keys, database credentials, stored encrypted)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Schema discovery (auto-detect available tables and fields)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Incremental sync (only pull new\/changed records)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Sync scheduling (every 5 minutes to daily)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Error handling and retry<\/span><\/li>\n<\/ul>\n<h2><b>Module 2 &#8211; ELT Pipeline and Data Warehouse<\/b><\/h2>\n<p><b>ELT vs ETL:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Modern BI platforms use ELT (Extract, Load, Transform), raw data loaded into the warehouse first, then transformations applied using SQL. This preserves raw data for reprocessing when transformation logic changes and leverages the warehouse&#8217;s computational power.<\/span><\/p>\n<p><b>Data warehouse options:<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Option<\/b><\/td>\n<td><b>When to Use<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">BigQuery<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Google Cloud, ad-hoc analytics<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Snowflake<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Multi-cloud, concurrent workloads<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">ClickHouse<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ultra-high-speed real-time aggregations<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">DuckDB<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Embedded analytics, &lt;100GB<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>The transformation layer (dbt):<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The platform integrates dbt for SQL-based data transformation, version-controlled, tested, and documented. Every transformed view traces back to its raw source.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-23612\" src=\"https:\/\/engineerbabu.com\/blog\/wp-content\/uploads\/2026\/06\/bi-04-elt-pipeline.png\" alt=\"\" width=\"2560\" height=\"1440\" title=\"\"><\/p>\n<h2><b>Module 3 &#8211; Semantic Layer<\/b><\/h2>\n<p><b>What the semantic layer provides:<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Raw Database<\/b><\/td>\n<td><b>Semantic Layer Translation<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">fact_orders.order_total_usd_cents<\/span><\/td>\n<td><span style=\"font-weight: 400;\">&#8220;Total Revenue&#8221; (displayed in dollars)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Complex SQL join across 4 tables<\/span><\/td>\n<td><span style=\"font-weight: 400;\">&#8220;Monthly Active Users&#8221; (one click)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">sfdc_stage_name = &#8216;Closed Won&#8217;<\/span><\/td>\n<td><span style=\"font-weight: 400;\">&#8220;Won Deals&#8221;<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">The semantic layer means a marketing analyst can build a &#8220;Revenue by Customer Cohort&#8221; dashboard without knowing it requires joining fact_orders to dim_customers on customer_id grouped by DATE_TRUNC.<\/span><\/p>\n<h2><b>Module 4 &#8211; Interactive Dashboard Builder<\/b><\/h2>\n<p><b>Dashboard builder features:<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Element<\/b><\/td>\n<td><b>Functionality<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Chart types<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Bar, line, pie, scatter, table, metric tile, heat map, funnel<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Drag-and-drop<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Position and resize charts on a grid canvas<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Metric selector<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Choose from semantic layer &#8211; no SQL<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Filter controls<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Date range pickers, dropdowns, search filters<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cross-filter<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Clicking one chart filters all others<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Drill-down<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Click a bar to see underlying records<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Conditional formatting<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Colour-code values based on thresholds<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>Module 5 &#8211; KPI Alerting with Anomaly Detection<\/b><\/h2>\n<p><b>Alert types:<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Alert Type<\/b><\/td>\n<td><b>Example<\/b><\/td>\n<td><b>Trigger<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Threshold breach<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Monthly revenue &lt; $500K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Metric crosses threshold<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Anomaly detection<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DAU drops 20%+ from rolling average<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Statistical anomaly<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Trend alert<\/span><\/td>\n<td><span style=\"font-weight: 400;\">CAC increased 3 consecutive weeks<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Directional trend<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Zero-value alert<\/span><\/td>\n<td><span style=\"font-weight: 400;\">No transactions in last 2 hours<\/span><\/td>\n<td><span style=\"font-weight: 400;\">May indicate technical failure<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>The anomaly detection model:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">For each metric, the platform trains a time-series model on historical data, learning normal range, seasonality, and trend. Anomaly detection flags values statistically unlikely given historical patterns, catching anomalies that are within normal absolute range but abnormal for the time of day\/week.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-23612\" src=\"https:\/\/engineerbabu.com\/blog\/wp-content\/uploads\/2026\/06\/bi-04-elt-pipeline.png\" alt=\"\" width=\"2560\" height=\"1440\" title=\"\"><\/p>\n<h2><b>Cost to Build a Business Intelligence Dashboard<\/b><\/h2>\n<table>\n<tbody>\n<tr>\n<td><b>Module<\/b><\/td>\n<td><b>Cost Range (USD)<\/b><\/td>\n<td><b>Notes<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Data connector library (20 connectors)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$10K \u2013 $20K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">~$500\u2013$1K per connector<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">ELT pipeline (dbt + Airflow)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$8K \u2013 $15K<\/span><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Data warehouse setup<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$5K \u2013 $10K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">BigQuery or Snowflake<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Semantic layer builder<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$8K \u2013 $15K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">No-code metric definition<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Interactive dashboard builder<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$10K \u2013 $20K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">All chart types<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">KPI alerting + anomaly detection<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$8K \u2013 $15K<\/span><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Self-serve natural language query<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$6K \u2013 $12K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">LLM text-to-SQL<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Embedded analytics API<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$5K \u2013 $10K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">iframe + auth<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Role-based access control<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$4K \u2013 $8K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Row + column level security<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">AWS + SOC 2 + VAPT<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$5K \u2013 $10K<\/span><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><b>Total<\/b><\/td>\n<td><b>$69K \u2013 $135K<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Full BI platform<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Contact: <\/span><a href=\"mailto:mayank@engineerbabu.com\"><b>mayank@engineerbabu.com<\/b><\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-23614\" src=\"https:\/\/engineerbabu.com\/blog\/wp-content\/uploads\/2026\/06\/bi-03-app-design.png\" alt=\"\" width=\"2560\" height=\"1600\" title=\"\"><\/p>\n<h2><b>Conclusion<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Business intelligence platforms are no longer just reporting tools, they are strategic decision-support systems. By integrating multiple data sources, automating data pipelines, and providing intuitive dashboards, organizations can turn complex datasets into meaningful business insights.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Whether you&#8217;re building an internal analytics platform or embedding dashboards into your product, a scalable BI solution delivers long-term operational value.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">EngineerBabu develops secure, cloud-native business intelligence platforms tailored to enterprise requirements. To discuss your BI dashboard or analytics platform, contact <\/span><a href=\"mailto:mayank@engineerbabu.com\"><span style=\"font-weight: 400;\">mayank@engineerbabu.com<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2><b>Frequently Asked Questions<\/b><\/h2>\n<ul>\n<li aria-level=\"1\">\n<h3><b>What is the semantic layer and why is it critical for self-serve analytics?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The semantic layer translates database concepts (table names, column names, complex joins) into business vocabulary that non-technical users can understand. Without it, self-serve analytics requires users to understand the database schema, limiting access to only technically skilled users. With it, a finance manager can build a revenue breakdown dashboard by selecting metrics from a business-vocabulary menu, with SQL generated automatically. The semantic layer also ensures consistency, &#8220;Monthly Recurring Revenue&#8221; means the same thing regardless of which user queries it, because the calculation logic is defined once.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>What is the difference between ELT and ETL?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">ETL transforms data before loading it into the destination, the transformation happens on a separate server. ELT loads raw data into the warehouse first, then transforms it using SQL within the warehouse. Modern BI platforms prefer ELT because: raw data is always available for reprocessing when business logic changes; modern cloud warehouses have enormous computational power making in-warehouse transformation faster and cheaper; and SQL-based transformations managed with dbt are easier to version-control, test, and debug.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Which cloud data warehouses are commonly used for enterprise BI platforms?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Popular options include Google BigQuery, Snowflake, Amazon Redshift, Azure Synapse Analytics, and ClickHouse. The ideal choice depends on data volume, query performance requirements, cloud ecosystem, and budget.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Can business users create dashboards without writing SQL?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Yes. Modern BI platforms include semantic layers, drag-and-drop dashboard builders, and AI-powered natural language querying, allowing business users to create reports and visualizations without technical expertise.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>How secure are enterprise BI platforms?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Enterprise BI solutions typically support role-based access control (RBAC), row-level and column-level security, single sign-on (SSO), encrypted data storage, audit logs, and compliance frameworks such as SOC 2, ensuring sensitive business data remains protected.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Every business has data. Most businesses cannot use their data effectively because accessing it requires writing SQL (a skill most business users lack) or waiting for an analyst to run a report. A BI dashboard platform solves both, making data accessible to non-technical users through interactive visual interfaces, and making data current through real-time pipelines. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":23597,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1271,1273],"tags":[],"class_list":["post-23596","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-software-development","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/23596","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/comments?post=23596"}],"version-history":[{"count":3,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/23596\/revisions"}],"predecessor-version":[{"id":23615,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/23596\/revisions\/23615"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/media\/23597"}],"wp:attachment":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/media?parent=23596"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/categories?post=23596"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/tags?post=23596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}