{"id":44405,"date":"2020-11-19T04:41:00","date_gmt":"2020-11-19T09:41:00","guid":{"rendered":"http:\/\/blog.cybercon1.com\/?p=44405"},"modified":"2020-11-19T04:41:00","modified_gmt":"2020-11-19T09:41:00","slug":"databricks-launches-sql-analytics","status":"publish","type":"post","link":"https:\/\/blog.cyberconservices.com\/index.php\/2020\/11\/19\/databricks-launches-sql-analytics\/","title":{"rendered":"Databricks launches SQL Analytics"},"content":{"rendered":"\n

By Frederic Lardinois<\/a> – AI and data analytics<\/strong> company\u00a0Databricks<\/a>\u00a0today announced the launch of SQL Analytics<\/strong>, a new service that makes it easier for data <\/strong>analysts to run their standard SQL queries directly on data lakes. And with that, enterprises can now easily connect their business intelligence tools like Tableau and Microsoft\u2019s Power BI<\/strong> to these data repositories as well.<\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

SQL Analytics will be available in public preview on November 18.<\/p>\n\n\n\n

In many ways, SQL Analytics is the product\u00a0Databricks\u00a0<\/a>\u00a0has long been looking to build and that brings its concept of a \u201clake house\u201d to life. It combines the performance of a data<\/strong> warehouse, where you store data <\/strong>after it has already been transformed and cleaned, with a data <\/strong>lake, where you store all of your data i<\/strong>n its raw form. The data i<\/strong>n the data <\/strong>lake, a concept that Databricks\u2019 co-founder and CEO\u00a0Ali Ghodsi\u00a0<\/a>\u00a0has\u00a0long championed<\/a>, is typically only transformed when it gets used. That makes data l<\/strong>akes cheaper, but also a bit harder to handle for users.<\/p>\n\n\n\n

\u201cWe\u2019ve been saying Unified Data Analytics<\/strong>, which means unify the data with the analytics. So data<\/strong> processing and analytics, those two should be merged. But no one picked that up,\u201d Ghodsi told me. But \u201clake house\u201d caught on as a term.<\/p>\n\n\n\n

\u201cDatabricks has always offered data science, machine learning. We\u2019ve talked about that for years. And with Spark, we provide the data processing capability. You can do [extract, transform, load]. That has always been possible. SQL Analytics enables you to now do the data warehousing workloads directly, and concretely, the business intelligence and reporting workloads, directly on the data<\/strong> lake.\u201d Read On:<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

By Frederic Lardinois – AI and data analytics company\u00a0Databricks\u00a0today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes. And with that, enterprises can …<\/span> Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[651,83,644],"tags":[195,251,645],"class_list":["post-44405","post","type-post","status-publish","format-standard","hentry","category-analytics-data","category-data","category-power-bi","tag-analytics","tag-data","tag-power-bi"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack-related-posts":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/blog.cyberconservices.com\/index.php\/wp-json\/wp\/v2\/posts\/44405","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.cyberconservices.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.cyberconservices.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.cyberconservices.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.cyberconservices.com\/index.php\/wp-json\/wp\/v2\/comments?post=44405"}],"version-history":[{"count":0,"href":"https:\/\/blog.cyberconservices.com\/index.php\/wp-json\/wp\/v2\/posts\/44405\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.cyberconservices.com\/index.php\/wp-json\/wp\/v2\/media?parent=44405"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.cyberconservices.com\/index.php\/wp-json\/wp\/v2\/categories?post=44405"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.cyberconservices.com\/index.php\/wp-json\/wp\/v2\/tags?post=44405"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}