{"id":169,"date":"2022-10-15T14:40:26","date_gmt":"2022-10-15T04:40:26","guid":{"rendered":"http:\/\/data2cognition.com.au\/?page_id=169"},"modified":"2022-11-19T19:34:18","modified_gmt":"2022-11-19T09:34:18","slug":"data-engineering-consulting","status":"publish","type":"page","link":"https:\/\/data2cognition.com.au\/?page_id=169","title":{"rendered":"Data Engineering Consulting"},"content":{"rendered":"\n
<\/div>
\n
<\/div>\n<\/div><\/div>\n\n\n\n
<\/span>\"\"
\n

Fill in your Data Lake with Data<\/strong><\/p>\n\n\n\n

Stream your data into your Data Lake<\/strong><\/p>\n<\/div><\/div>\n\n\n\n

We create Data Lakes<\/em><\/strong> for our customers to help them with organizing their data (which is their most valuable asset). However, getting the data into a data lake requires resources and infrastructure to automate the stream of data from different data sources into the data lake. This is a process that our Data Engineers can implement for your organization.<\/p>\n\n\n

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

By having the data from different systems in a Data Lake<\/em>, it will be possible to do analysis on the data across different systems and create a single source of truth for the business that can be used for serving Advanced Analytics <\/em><\/strong>and<\/em> Business Intelligence <\/em><\/strong>use cases.<\/p>\n\n\n

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

Examples of Advanced Analytics<\/em> use cases can be from developing a dashboard to display the daily, monthly, or yearly sales reports for a business; to having real-time dashboards for a factory to monitor their devices based on the Internet of Things (IoT)<\/em><\/strong> technologies.  <\/p>\n\n\n\n

Also, supporting Business Intelligence <\/em>use cases which require Machine Learning<\/em><\/strong> techniques (such as recommending products to customers, or forecasting sales based on the historical data) needs enterprise Data Engineering<\/em><\/strong> pipelines to Extract, Transform, and Load (ETL)<\/em><\/strong> the data to support those use cases. Our consultants are specialized in creating Data Lakes<\/em>, and developing end-to-end ETL pipelines for ingesting data from different data sources and transforming the data to serve Advanced Analytics <\/em>and Business Intelligence<\/em> use cases on different cloud platforms such as AWS, GCP, and Azure; or even on the on-premises infrastructures.<\/p>\n\n\n\n

\"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

We create Data Lakes for our customers to help them with organizing their data (which is their most valuable asset). However, getting the data into a data lake requires resources and infrastructure to automate the stream of data from different data sources into the data lake. This is a process […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"class_list":["post-169","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/data2cognition.com.au\/index.php?rest_route=\/wp\/v2\/pages\/169","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/data2cognition.com.au\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/data2cognition.com.au\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/data2cognition.com.au\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/data2cognition.com.au\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=169"}],"version-history":[{"count":9,"href":"https:\/\/data2cognition.com.au\/index.php?rest_route=\/wp\/v2\/pages\/169\/revisions"}],"predecessor-version":[{"id":299,"href":"https:\/\/data2cognition.com.au\/index.php?rest_route=\/wp\/v2\/pages\/169\/revisions\/299"}],"wp:attachment":[{"href":"https:\/\/data2cognition.com.au\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}