Tag: Big Data

Quest Forum Digital Event 2020

We are creatures of habit. We tend to stay the course concerning what we create and how we create it. But is this tendency causing us to settle for just good enough? From OBIEE to Data Visualization Desktop to Oracle Analytics Cloud… this is not your parent’s OBIEE. Maybe it’s time for a reboot?

In this presentation, we’ll explore the new face of Oracle Analytics, both literally by looking at Oracle Data Visualization, and figuratively with how advances in the platform can affect our approach and methodology. If you are new to Oracle Analytics, I’ll convince you that this product is capable of enabling a data-driven culture. If you’ve been around the block a few times with OBIEE, then I’ll make you question how you’ve delivered analytics in the past.

Quest Forum Digital Event 2020

Can you convert an integrated Data Warehouse to a set of Micro Services?

In this presentation we discuss the benefits of Micro Services, look at how we can convert a working Data Warehouse into independent microservices, discuss the pitfalls and demonstrate a real-life project where we converted our Data Warehouse to Micro Services.  This enabled a small team to provide frequent releases, increase automation, and become more agile.

Quest Forum Digital Event 2020

Artificial Intelligence (AI) and Machine Learning (ML) are a lot like preserving the Earth's environment: Almost everyone is talking about what should be done to save it, but very few people have committed to actually doing something about it.

This session demonstrates a few real-life opportunities to discover unseen patterns and relationships within sample financial and election data by leveraging the AI and ML capabilities already built into Oracle Autonomous Database.

Quest Forum Digital Event 2020

DBAs spend time dealing with maintenance, security, and outage issues with little time for innovation. Self-driving, self-securing, and self-repairing Autonomous Databases free data professionals to leverage their domain knowledge and data skills to extract more value from data. Oracle Machine Learning, part of Autonomous Database, “moves the algorithms to the data” for in-database processing of machine learning algorithms that eliminate data movement. Now, the entire machine learning process:  problem statement, data understanding and preparation, model building and evaluation, model apply and model deployment runs inside the Oracle Database.   Database developers perform many supporting tasks today, typically 80% of the work, but refer to them as ETL, data wrangling, data transformations, and productionizing scripts.   Come learn how ADW, ATP, and Oracle Machine Learning makes it easy for you to easily expand your valuable data skills and become “data scientists” in just 6 weeks!

Quest Forum Digital Event 2020

Accelerate business insights through data discovery, advanced analytics, and comprehensive Visualization delivered through Oracle BI. This session focuses on LAUSD deployment of an advanced, custom UI/UX framework on Oracle BI stack to deliver extreme Visualization and a live demonstration on how we adopted a simplified reporting platform for line-of-business users on key metrics, dazzling visualization, and infographics delivered through BI dashboards to help improve the decision-making process across the organization.

Quest Forum Digital Event 2020

Based on Oracle Generation 2 Cloud Architecture,  Oracle Autonomous Data Warehouse (ADW) provides a fully automated data warehouse specific features to deliver outstanding query performance. ADW also comes with a library of Oracle machine learning algorithms and a new set of tools such as SQL notebooks for predictive analytics and machine learning. This allows Data scientists to run Machine Learning projects in Oracle Database without moving data and also allows Database developers to pick up Machine learning with database tables, SQL, and PL/SQL. l This session will examine Oracle Machine Learning as part of ADW collaborative environment. We will discuss the process to develop machine learning applications in the ADW Oracle Machine Learning environment:  analyze and prepare data set;  build and evaluate and apply machine learning model. We also will discuss other Oracle Machine Learning family products and what new features are coming up in Oracle 20c.

Nov 21 @  1:00pm

  Poor maintenance strategies can substantially affect operational efficiencies and profitability. To be competitive, companies need to minimize unplanned downtime and optimize maintenance costs. Industry 4.0 capabilities enable companies to monitor their assets in real time, integrate data from many different sources, analyze and translate that data into meaningful insights and automatically turn those insights…

  Real-World Stories about Data Lake Integration Projects “Gartner believes that 70 percent of mature organizations will have more data flowing from data lakes to data warehouses than vice versa by 2021” These findings are no surprise given the power of analytics that can be derived from a data lake. Data analytics provide the competitive…

Oct 16 @  1:00pm

  Real-World Stories about Data Lake Integration Projects “Gartner believes that 70 percent of mature organizations will have more data flowing from data lakes to data warehouses than vice versa by 2021” These findings are no surprise given the power of analytics that can be derived from a data lake. Data analytics provide the competitive…

Original Broadcast: Thursday, October 15, 2015 The province of Ontario Canada has one of the most advanced and complex Energy Smart Metering implementations in the world with over 4.77 million Smart Meters installed by 71 Local Distribution companies. The Meter Data Management Repository (MDM/R) processing millions of transactions per day is based on Oracle 11g…