{"id":1733,"date":"2021-09-20T21:01:33","date_gmt":"2021-09-20T19:01:33","guid":{"rendered":"https:\/\/sqlkover.com\/?p=1733"},"modified":"2021-09-20T21:03:48","modified_gmt":"2021-09-20T19:03:48","slug":"webinar-improve-sql-server-data-quality-in-ssis","status":"publish","type":"post","link":"https:\/\/sqlkover.com\/webinar-improve-sql-server-data-quality-in-ssis\/","title":{"rendered":"Webinar – Improve SQL Server Data Quality in SSIS"},"content":{"rendered":"\n

On the 5th of October 2021 I\u2019ll be giving a webinar about improving data quality of contact data (names, addresses, emails etc) using the Melissa Data Tools<\/a>. I\u2019ll be doing half an hour of technical demos, while Jeremy of MSSQLTips.com<\/a> will take for another half our of the business value of the Melissa software.<\/p>\n\n\n\n

Data is the new oil, but just like oil, data needs to be refined as well. Data quality issues can be a serious burden on your business intelligence and data warehouse projects.<\/p>
Unfortunately, SSIS doesn\u2019t have many options out-of-the-box to deal with these issues, leaving you to program all the logic yourself.<\/p>
In this webinar, we\u2019ll show you how you can use the Data Quality components from Melissa in SSIS to drastically improve the quality of your data in an efficient manner.<\/p>
Join us for this demo centric session to learn about:
\u2013 Drag and drop Data Quality features in SSIS
\u2013 Data Profiling to score and enrich your data
\u2013 Data Validation including contact data, emails, etc.
\u2013 Geocoding Information
\u2013 and more <\/p><\/blockquote>\n\n\n\n
You can register here<\/a>.<\/p>\n\n\n\n
$\"MSSQLTips$ <\/a><\/figure>\n<\/body>","protected":false},"excerpt":{"rendered":"
On the 5th of October 2021 I\u2019ll be giving a webinar about improving data quality of contact data (names, addresses, emails etc) using the Melissa Data Tools. I\u2019ll be doing half an hour of technical demos, while Jeremy of MSSQLTips.com will take for another half our of the business value of the Melissa software. Data […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[3,5],"tags":[192,17,16,75],"class_list":["post-1733","post","type-post","status-publish","format-standard","hentry","category-events","category-ssis","tag-data-quality","tag-ssis","tag-syndicated","tag-webinar"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/sqlkover.com\/wp-json\/wp\/v2\/posts\/1733","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sqlkover.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sqlkover.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sqlkover.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sqlkover.com\/wp-json\/wp\/v2\/comments?post=1733"}],"version-history":[{"count":1,"href":"https:\/\/sqlkover.com\/wp-json\/wp\/v2\/posts\/1733\/revisions"}],"predecessor-version":[{"id":1736,"href":"https:\/\/sqlkover.com\/wp-json\/wp\/v2\/posts\/1733\/revisions\/1736"}],"wp:attachment":[{"href":"https:\/\/sqlkover.com\/wp-json\/wp\/v2\/media?parent=1733"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sqlkover.com\/wp-json\/wp\/v2\/categories?post=1733"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sqlkover.com\/wp-json\/wp\/v2\/tags?post=1733"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}