{"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:\/\/www.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 now easily connect their business intelligence tools like Tableau and Microsoft\u2019s Power BI to these […]<\/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,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_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},"jetpack_post_was_ever_published":false},"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"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t