In this session, we'll look at the role of the data engineer in designing, provisioning, and enabling an Oracle Cloud data lake using Oracle Analytics Cloud Data Lake Edition. We’ll also examine the use of data flow and data pipeline authoring tools and how machine learning and AI can be applied to this task. Furthermore, we’ll explore connecting to database and SaaS sources along with sources of external data via Oracle Data-as-a-Service. Finally we’ll delve into how traditional Oracle Analytics developers can transition their skills into this role and start working as data engineers on Oracle Public Cloud data lake projects.
3. T: +44 01273 041134 (UK) W: https;//mjr-analytics.com E: info@mjr-analytics.com
Take the Next Step with MJR Analytics
● Specialists in Modern Cloud Analytics
● Founded by Mark Rittman in 2018
● 100% Cloud focus + project delivery
○ Oracle Autonomous Analytics Cloud
○ Oracle Autonomous DW Cloud
○ Oracle Data Integration Cloud
○ Oracle Big Data Cloud
● Speak to us now during OOW 2018
info@mjr-analytics.com
+44 7866 568246
https://www.mjr-analytics.com
MJR Analytics & Red Pill
Analytics Tech’18 Happy Hour
4pm-6pm today, Pump House
13. OAC Data Lake Features for Data Engineers
13
● Explore, catalog and discover data in Oracle Big Data Cloud, Oracle
Database
● Enrich and transform raw data into valuable information and insights
● Analyze at-scale data using Data Visualization
● Combine data from SaaS, social and real-time
● Create predictive and classification models
● Analyze the sentiment in social media feeds
● Data engineering without the hand-coding