{"id":31009,"date":"2023-08-24T11:08:01","date_gmt":"2023-08-24T09:08:01","guid":{"rendered":"https:\/\/device-insight.com\/2023\/08\/24\/unpacking-the-data-lakehouse-a-new-paradigm-in-industrial-analytics\/"},"modified":"2024-01-10T10:49:47","modified_gmt":"2024-01-10T09:49:47","slug":"analytics-blog-data-lakehouse","status":"publish","type":"post","link":"https:\/\/device-insight.com\/en\/analytics-blog-data-lakehouse\/","title":{"rendered":"Unpacking the Data Lakehouse: A New Paradigm in Industrial Analytics"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"31009\" class=\"elementor elementor-31009 elementor-30512\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d0d092a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d0d092a\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c46e876 blog_col\" data-id=\"c46e876\" 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-783644d elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"783644d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Unpacking the Data Lakehouse: A New Paradigm in Industrial Analytics<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4d38aa9 elementor-widget elementor-widget-post-info\" data-id=\"4d38aa9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"post-info.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-inline-items elementor-icon-list-items elementor-post-info\">\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-b86a0c7 elementor-inline-item\" itemprop=\"datePublished\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-date\">\n\t\t\t\t\t\t\t\t\t\t<time>2023\/08\/24<\/time>\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-808e92e elementor-inline-item\" itemprop=\"about\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-terms\">\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-post-info__terms-list\">\n\t\t\t\t<a href=\"https:\/\/device-insight.com\/en\/category\/news-en\/\" class=\"elementor-post-info__terms-list-item\">News<\/a>\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-34dbdea elementor-widget elementor-widget-text-editor\" data-id=\"34dbdea\" 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 style=\"font-weight: 400;\">Fitting the round peg into the square hole isn&#8217;t always a perfect match \u2013 except maybe in sports. However, sometimes it is indeed possible to bring together two approaches that have long been considered independent: The Data Warehouse and the Data Lake can be combined into the Data Lakehouse. What\u2019s the concept behind this evolution? And what are the real benefits?<\/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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-363348a elementor-section-full_width elementor-section-height-min-height elementor-section-height-default elementor-section-items-middle\" data-id=\"363348a\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1854b6c\" data-id=\"1854b6c\" 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-e1ef762 elementor-widget elementor-widget-image\" data-id=\"e1ef762\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/device-insight.com\/wp-content\/uploads\/2023\/05\/Koste.Flexibilitaet.jpg\" title=\"Koste.Flexibilit\u00e4t\" alt=\"Koste.Flexibilit\u00e4t\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-196b39f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"196b39f\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4058497 blog_col\" data-id=\"4058497\" 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-2ef4909 elementor-widget elementor-widget-heading\" data-id=\"2ef4909\" 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\">From Data to Lakehouse<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ac75eb8 elementor-widget elementor-widget-text-editor\" data-id=\"ac75eb8\" 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 style=\"font-weight: 400;\">Companies are searching for solutions to reduce the ever-growing complexity of data processing while harnessing advanced analytics and machine learning capabilities, all without being constrained by existing data silos. Databricks, founded by the team behind Apache Spark, have crafted a smart Lakehouse platform that bridges the gap between traditional Data Lake and Data Warehouse concepts. The Data Lakehouse concept simplifies and expands how companies can use their data for business decisions, optimizations, and product development. Customers worldwide, such as H&amp;M and Siemens, leverage Databricks Lakehouse services to control or rethink their business processes. At Device Insight, we specialize in IoT and Industrial Data Analytics. Seeing the potential of the Data Lakehouse Architecture for IoT use cases, we&#8217;ve become a certified Databricks Partner. Join us on the data journey! With this new blog series, we invite you to take a closer look at the opportunities and challenges of Industrial Data Analytics.<\/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-3385951 elementor-widget elementor-widget-heading\" data-id=\"3385951\" 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 is the idea behind a Data Lakehouse?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec54233 elementor-widget elementor-widget-text-editor\" data-id=\"ec54233\" 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>Now, let&#8217;s dive into the world of data analysis and processing. We will focus on the benefits and added value that the relatively new Lakehouse approach offers to various industries, such as manufacturing. In our first blog article, we address the fundamental question: What\u2019s behind the buzzword \u201cData Lakehouse\u201d? We explore the characteristics and real-world advantages of this relatively new innovative concept for data storage and analysis, ranging from improved data quality to accelerated analysis speed.<\/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-981916b elementor-widget elementor-widget-text-editor\" data-id=\"981916b\" 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 style=\"font-weight: 400;\">A Data Lakehouse is an advanced data architecture that combines the best features of Data Lakes and Data Warehouses. The idea is to merge the flexibility, scalability, and cost-efficiency of a Data Lake with the powerful analytical capabilities, governance, and structured querying of a Data Warehouse. The Lakehouse enables the storage of both structured data, such as classic database tables optimized for clear queries, and unstructured data. The latter can originate from various sources, including usage data from connected products, sensor, and telemetry data, as well as images from products and manufacturing processes. In essence, the Lakehouse concept creates a coherent platform that handles the diversity of data types while providing a robust foundation for comprehensive queries, analyses, and data processing.<\/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-866fb44 elementor-widget elementor-widget-heading\" data-id=\"866fb44\" 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 Databricks Data Lakehouse: A platform with enhanced benefits<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3c8e896 elementor-widget elementor-widget-text-editor\" data-id=\"3c8e896\" 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>Databricks&#8217; approach to a Data Lakehouse goes even further, offering an integrated platform that combines a variety of data processing, data engineering, machine learning, and artificial intelligence features in a central, simple, and user-friendly environment. The main benefits are:<\/p>\n<ol>\n<li><strong>Performance optimization:<\/strong> Thanks to Apache Spark, Databricks provides scalable and powerful Big Data processing. The Delta Engine accelerates queries and improves overall performance.<\/li>\n<li><strong>Real-time processing:<\/strong> The platform supports Real Time Data Processing to provide up-to-date insights so you can respond even faster to changing conditions.<\/li>\n<li><strong>Data Governance:<\/strong> Databricks enables effective data management with features for data quality, access controls, auditing, and data lineage. For example, <span data-contrast=\"auto\">it is possible to hide personal data for certain user groups, allowing groups with different permissions<\/span> <span data-contrast=\"auto\">to work on the same<\/span> <span data-contrast=\"auto\">Lakehouse<\/span>.<\/li>\n<li><strong>Collaboration and notebooks:<\/strong> The platform fosters team collaboration through collaborative workspaces and hardware that enable shared data analyses.<\/li>\n<li><strong>Integrated ML and AI:<\/strong> It simplifies the integration of machine learning and artificial intelligence into data analysis and use cases.<\/li>\n<li><strong>Flexible schema:<\/strong> With Delta Lake, companies can continuously adapt and evolve the database schema, for example, enriching it with additional information.<\/li>\n<\/ol>\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-4111dff elementor-widget elementor-widget-heading\" data-id=\"4111dff\" 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\">Securing flexibility for next-gen use cases and digital products<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eeea0d2 elementor-widget elementor-widget-text-editor\" data-id=\"eeea0d2\" 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 Lakehouse architecture combines flexibility and analytical power, enabling companies to gain comprehensive insights from large datasets, efficiently manage data, and make data-driven decisions faster. Thanks to the incorporation of Cloud Analytics, it also becomes possible to analyze and visualize text data from various sources, making it easier to identify keywords and trends. Furthermore, the Databricks service is usable independently of cloud providers such as Microsoft Azure, Amazon Web Services, and Google Cloud, supporting a multi-cloud strategy.<\/p>\n<p>In a nutshell, a Lakehouse can serve as a flexible foundation for data-driven business models that also incorporate machine learning and artificial intelligence. For example, retailers can combine sales data with social media feedback to create more targeted marketing campaigns and boost revenue. Manufacturing companies, on the other hand, use the Lakehouse approach to analyze sensor-based data in real-time, efficiently control production processes, and develop the next generation of digital products.<\/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-89470fc elementor-widget elementor-widget-heading\" data-id=\"89470fc\" 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\">Blog Series Part 2: What's up next?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a2d6b2a elementor-widget elementor-widget-text-editor\" data-id=\"a2d6b2a\" 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>Stay tuned! In our next Data Analytics blog post, we will have a closer look at the upcoming regulatory developments that influence data handling. New European legislations like the EU Data Act, Data AI Act, and Cyber Resilience Act significantly impact the use and security of IoT data and should be considered early on.<\/p>\n<p>+++ We\u2019re IoT &amp; Industrial Data experts. At Device Insight, we can actively implement the advantages of the Lakehouse concept for our customers. We integrate machine data with Databricks services to build use cases in advanced analytics and machine learning. +++<\/p>\n\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>Kick-off for our new analytics blog series: How does a data lakehouse support IoT use cases?<\/p>\n","protected":false},"author":17,"featured_media":31598,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[60],"tags":[165],"class_list":["post-31009","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-en","tag-data-lakehouse-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts\/31009","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/comments?post=31009"}],"version-history":[{"count":14,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts\/31009\/revisions"}],"predecessor-version":[{"id":32831,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/posts\/31009\/revisions\/32831"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/media\/31598"}],"wp:attachment":[{"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/media?parent=31009"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/categories?post=31009"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/device-insight.com\/en\/wp-json\/wp\/v2\/tags?post=31009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}