Analytics and Data Summit 2020: Full Schedule

Welcome to Analytics and Data Summit 2020.

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10:10am PST

Oracle's Comprehensive Machine Learning Platform

Get an overview of Oracle's platform ML solutions including new approaches using machine learning and data science. This presentation will cover Oracle’s strategy and solutions for ML across all of Oracle's cloud platform and how they support both data scientists and the extended data science team of data engineers, business analysts and application developers. Learn how to take advantage of machine learning capabilities embedded in Oracle Database, Hadoop and Oracle Analytics, and how Oracle's Data Science service improves teamwork and shortens time to value.

Speakers

Wes Prichard

Senior Director Industry Solution Architecture, Oracle

Wes works in Oracle's Big Data & Data Science Go-To-Market Group, which is responsible for the integrated, end-to-end, go-to-market strategy for Oracle's cross-pillar Big Data and Data Science business.As an engineer and solution architect, Wes is focused on transformational use cases... Read More →

Tuesday February 25, 2020 10:10am - 11:00am PST
Bldg 03- Auditorium&General .

Artificial Intelligence and Machine Learning, Full Session (50 minutes) | Big Data, Full Session (50 minutes) | Data Warehousing and ETL, Full Session (50 minutes) | Spatial and Graph, Full Session (50 minutes)

Company Oracle
Oracle Product AI Platform, Autonomous Data Warehouse, Autonomous Database, Autonomous Transaction Processing, Big Data

10:10am PST

Actionable Business Insights with Oracle Predictive Analytics

School Districts collects vast data points about their students, include gradebook, attendance, formative assessments, summative assessments, final and interim marks, interventions and enrichment, discipline, IEPs, Section 504 plans, diagnostic assessments/universal screening, mastery learning, student feedback and self-assessments, social emotional learning (SEL) observations, progress monitoring, pull-out schedule, and longitudinal data, and deliver through actionable dashboards to the consumers and stakeholders. In this session, you will learn on how LAUSD uses Oracle’s predictive analytics capabilities to identify key factors influencing the predicted lower performance and implement steps proactively to effectively address the factors and improve performance and overall graduation rate across various schools, implement a continuous learning and improvement process.

Speakers

Grace Peng

Technical Specialist, LAUSD

I am IT executive with specialized skills in enterprise information management and analytics for LAUSD. As dynamic information technology leader and certified Project Management Professional with success in program/project management, problem solving, strategic planning, and operations... Read More →

Gautham Sampath

executive Director, Innive Inc

Tuesday February 25, 2020 10:10am - 11:00am PST
Bldg 23- Rm 1730 .

Business Analytics, Full Session (50 minutes) | Artificial Intelligence and Machine Learning, Full Session (50 minutes) | Big Data, Full Session (50 minutes)

Company LAUSD, Innive Inc
Oracle Product Analytics for Applications, Autonomous Data Warehouse, Business Intelligence, Spatial, Spatial - Map Visualization/MapViewer

11:15am PST

Oracle Machine Learning Overview and Roadmap

Oracle Machine Learning supports data science and machine learning with Oracle Database, Oracle Autonomous Database, and Oracle Big Data-related products and technologies. Join this session to learn about the family of products that make up Oracle Machine Learning and our product roadmap. Oracle Machine Learning consists of SQL, R, Python, and REST APIs, as well as Apache Zeppelin-based notebooks, Big Data support on Spark, and rich microservices supporting model management and cognitive text and image services.

Speakers

Mark Hornick

Senior Director, Oracle

Mark Hornick is the Senior Director of Product Management for the Oracle Machine Learning (OML) family of products. He leads the OML PM team and works closely with Product Development on product strategy, positioning, and evangelization, Mark has over 20 years of experience with integrating... Read More →

Charlie Berger

Sr. Dir. Product Mgmt, Oracle Machine Learning, AI, Oracle

Charlie Berger is the Sr. Director of Product Management, Machine Learning, AI and Cognitive Analytics in Oracle Server Technology. Since 1999, he has been responsible for Oracle’s machine learning—starting when Oracle acquired Thinking Machines Corporation where he was VP of... Read More →

Marcos Arancibia

Product Manager, Oracle Data Science and Big Data, Oracle

Marcos Arancibia is the Product Mgr for Oracle Data Science and Big Data, working with Machine Learning in the Oracle Database and on Hadoop/Spark clusters. He is charted with developing a comprehensive platform for enabling a new class of analytical workloads encompassing techniques... Read More →

Tuesday February 25, 2020 11:15am - 12:05pm PST
Bldg 03- Auditorium&General .

Artificial Intelligence and Machine Learning, Full Session (50 minutes) | Big Data, Full Session (50 minutes) | Emerging Technologies, Full Session (50 minutes)

Company Oracle
Oracle Product Autonomous Data Warehouse, Autonomous Database, Autonomous Transaction Processing, Big Data, Machine Learning (OML), Machine Learning for Python (OML4Py), Machine Learning for R (OML4R)/R Enterprise (ORE)

11:15am PST

Delivering Business Value through Streaming Data Analytics Automation

Do you know how a large and complex organization like LA unified School District has successfully rolled out a comprehensive business intelligence application that is business oriented and producing results with data driven decisions! LAUSD Enterprise Reporting uses Kafka, ODI and Oracle technology components to deal with never-ending streams of events, to use Real-time or near-real-time processing to detect patterns and trends, to build a suite of interactive dashboards based on streaming data integration for district executives, principals, teachers, counselors, and families with over 300 K-12 metrics and KPIs that provide whole child, whole school, whole district insight. The session is a planned as an interactive one, with real-time demo, presented by a senior leader of the School District who has played a key role in planning and execution of the huge effort.

Speakers

Grace Peng

Technical Specialist, LAUSD

Gautham Sampath

executive Director, Innive Inc

Tuesday February 25, 2020 11:15am - 12:05pm PST
Bldg 23- Rm 1720 .

Data Warehousing and ETL, Full Session (50 minutes) | Big Data, Full Session (50 minutes) | Business Analytics, Full Session (50 minutes) | Emerging Technologies, Full Session (50 minutes)

Company LAUSD, Innive Inc
Oracle Product Analytics for Applications, Autonomous Data Warehouse, Autonomous Database, Data Hub, Data Integrator (ODI)

4:20pm PST

What's new with the Oracle Big Data Platform?

There have been many recent updates to Oracle's Big Data platform. It used to be that you needed to be tackling a very large problem in order to engage with Big Data Appliance or Big Data Cloud Service. That has all changed. Need to quickly spin up a small development environment? Tasked with answering a question from marketing tha requires data coming from a variety of sources? Need to run queries across object storage, hadoop and streams? Attend this session to learn what's new with Oracle's Big Data platform and how it’s been expanded to meet these new requirements.

Speakers

Martin Gubar

PM Director, Oracle

I'm part of Oracle's big data product management team - with a key focus on Big Data SQL. I have a long history at Oracle - starting in the sales consulting organization - and then working in the BI, OLAP and Big Data PM groups

Tuesday February 25, 2020 4:20pm - 5:10pm PST
Bldg 03- Auditorium&General .

Big Data, Full Session (50 minutes)

Oracle Product Big Data, Big Data Appliance, Big Data Service / Cloud / Cloud Service

10:05am PST

Event Hub (i.e. Kafka) in Modern Data (Analytics) Architecture

Today's modern data architectures and the their implementations contain an Event Hub. What are the benefits of placing an Event Hub in a Modern Data (Analytics) Architecture? What exactly is an Event Hub and what capabilities should it provide? Why is Apache Kafka the most popular realization of an Event Hub? These and many other questions will be answered in this session. The talk will start with a vendor-neutral definition of the capabilities of an Event Hub. Then the session will highlight the different architecture styles which can be supported using an Event Hub (Kafka), such as Streaming Data Integration, Stream Analytics and Decoupled Event-Driven Applications and how can these be combined into a unified architecture, making the Event Hub the central nervous system of an enterprise architecture. We will end with an overview of the Kafka ecosystem and a placement of the various components onto the Modern Data (Analytics) Architecture.

Speakers

Guido Schmutz

Platform Architect, Trivadis

Guido Schmutz works for the Oracle Platinum Partner Trivadis. He has more than 30 years of technology experience. At Trivadis he leads the Trivadis Architecture Board. He has long-time experience as developer, coach, trainer, and architect in the area of building IT systems. In the... Read More →

Wednesday February 26, 2020 10:05am - 10:55am PST
Bldg 23- Rm 1720 .

Big Data, Full Session (50 minutes) | Business Analytics, Full Session (50 minutes) | Emerging Technologies, Full Session (50 minutes) | General, Full Session (50 minutes)

Company Trivadis
Oracle Product Event Hub

11:10am PST

Benefits and Transformation using Autonomous Database - Customer Success

Laura will present an overview of our Autonomous Data Warehouse Customer implementation successes - the business values of using ADW, and the journeys there. At least 10 customer stories will be featured, with technical details in summary.

Speakers

Laura McKechnie

Business Development Director, Oracle

I'm in Oracle Product Management for Data Warehousing and Big Data, and run our Global Leaders Program for Americas, ie look after our key customers running our data management solutions!

Wednesday February 26, 2020 11:10am - 12:00pm PST
Bldg 23- Rm 1720 .

Data Warehousing and ETL, Half Session (25 minutes) | Big Data, Half Session (25 minutes)

Company Oracle
Oracle Product Autonomous Data Warehouse, Autonomous Database

1:00pm PST

How does your enterprise measure up? A Data Science Maturity Model

Maturity models' aid enterprises in understanding their current and target states. Enterprises that already embrace data science as a core competency, as well as those just getting started, often seek a road map for improving that competency. A data science maturity model is one way of assessing an enterprise and guiding the quest for data science nirvana. As an assessment tool, this Data Science Maturity Model provides a set of dimensions relevant to data science. In this session, we'll explore these 10 dimensions.

Speakers

Mark Hornick

Senior Director, Oracle

Wednesday February 26, 2020 1:00pm - 1:50pm PST
Bldg 03- Auditorium&General .

Artificial Intelligence and Machine Learning, Full Session (50 minutes) | Big Data, Full Session (50 minutes) | Business Analytics, Full Session (50 minutes) | Data Warehousing and ETL, Full Session (50 minutes) | Spatial and Graph, Full Session (50 minutes)

Company Oracle

2:20pm PST

Data Flow: A managed Spark service for ML, reporting and more

Big Data is powerful, but too complex for most. Oracle is developing a fully-managed, cloud-native Apache Spark service that makes the leading Big Data framework accessible to everyone. In this session see how easy it is to create, share, and build dashboards on Spark applications for use cases like ML, Reporting, ETL and more!

Speakers

Carter Shanklin

Sr. Director of Product Management, Oracle

Carter is a Senior Director of Product Management for Oracle Cloud and leads OCI's Serverless Big Data area. Carter has over 10 years of experience developing data management and big data products.

Wednesday February 26, 2020 2:20pm - 3:10pm PST
Bldg 23- Rm 1710 .

Big Data, Full Session (50 minutes)

Company Oracle
Oracle Product Data Catalog, Data Science, Sparkline Data

3:25pm PST

Machine Learning on the new Oracle Big Data Service with OML4Spark

The new Oracle Big Data Service provides the perfect platform for complete Data Lakes that need to interact with data in the Oracle Object Storage and Autonomous Data Warehouse. It also provides a powerful set of machine learning algorithms through the use of Oracle Machine Learning for Spark. You will learn how to enable this component and how to make use of its capabilities.

Speakers

Marcos Arancibia

Product Manager, Oracle Data Science and Big Data, Oracle

Wednesday February 26, 2020 3:25pm - 4:15pm PST
Bldg 03- Auditorium&General .

Big Data, Full Session (50 minutes) | Artificial Intelligence and Machine Learning, Full Session (50 minutes)

Company Oracle
Oracle Product Big Data Service / Cloud / Cloud Service

3:50pm PST

Graph-powered Cyber-Security Intelligence

Graph-powered Cyber-security intelligence has recently drawn a lot of attention with the emergence of the Cloud era. Cloud applications generate huge volume of logs which are essential for threat detection and investigation. While such massive volume of data enables to accurately detect multiple threats, the data heterogeneity introduced by multiple data sources makes it challenging to analyze data in the tabular data model. Graph data model bridges the limitation by connecting heterogeneous entities via relationships. In this talk, we present how graph technology enables us to build a smarter and deeper cyber-security intelligence. Specifically, we demonstrate how Oracle Labs PGX and Data Studio enable (a) SaaS Cloud Security team to do in-depth analysis of security alerts with visualization and threat hunting from multiple heterogeneous logs, and (b) ODC Moat team to develop an effective Invalid Traffic Detection model by leveraging features extracted from underlying graph.

Speakers

Sungpack Hong

Research Director, Oracle

Research Director at Oracle Labs.Leading projects regarding large-scale graph and data analysis -- platforms and applications

Jinha Kim

Principal Member of Technical Staff, Oracle

Jinha Kim is a Principal Member of Technical Staff at Oracle Labs. He is interested in graph analytics and machine learning from designing through implementation to application. He obtained his PhD from Pohang University of Science and Technology, South Korea.

Wednesday February 26, 2020 3:50pm - 4:15pm PST
Bldg 23- Rm 1740 .

Spatial and Graph, Half Session (25 minutes) | Artificial Intelligence and Machine Learning, Half Session (25 minutes) | Big Data, Half Session (25 minutes)

Company Oracle
Oracle Product Big Data Spatial and Graph, Graph/including Parallel Graph Analytix (PGX)

4:30pm PST

Using Oracle Graph for Analyzing Monetary Transfer Data

Our client, one of the biggest private banks in Turkey, was encountering difficulties in analyzing Customer Monetary Relation between each other with conventional data analysis tools. Although they have almost all kind of data analysis tools, analyzing connected data like money transfers, cheque payments for both inbound and outbound directions was a big problem to see who is directly or indirectly connected to whom, is there any cyclic money transfers that can cause a part of fraud activity, or any other money transfers that can be a part of finance of terrorism activities. And their Data Management Division discovered that these are questions in the scope of Graph technologies. Since they are an important and long time partner of Oracle, they preferred to perform these analyses with Oracle Spatial & Graph in RDBMS 12c Exadata Cloud environment. The main reasons in choosing Oracle S&G included: In Memory Graph queries, algorithm execution advantages with PGX with PGQL, and less data transfer costs.

Speakers

Cansu Tüzmen

Project Manager, Datateam

Cansu Tuzmen is from Ankara, Turkey where she works as a Project Manager at Datateam Information Technologies which specializes in Big Data and Data Analysis Solutions. She is an enthusiastic full-stack developer interested in Machine Learning Algorithms, Graph Databases, and... Read More →

Wednesday February 26, 2020 4:30pm - 5:00pm PST
Bldg 23- Rm 1740 .

Spatial and Graph, Half Session (25 minutes) | Big Data, Half Session (25 minutes) | Business Analytics, Half Session (25 minutes)

Company Datateam
Oracle Product Autonomous Database, Big Data Appliance, Big Data Spatial and Graph, Database 18c, Database 19c

8:45am PST

The Changing Role of DBA: From Database Developer to Data Scientist in 6 Weeks

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 domain knowledge and data skills to extract more value from their 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!

Speakers

Charlie Berger

Sr. Dir. Product Mgmt, Oracle Machine Learning, AI, Oracle

Jenny Tsai-Smith

Vice President, Database Product Management, Oracle Corporation

Jenny is a corporate veteran, and in her 25 years at Oracle Corporation, has held roles spanning technical support, education delivery, product management, and content development. Her most recent accomplishment was building and leading a team of over 350 content specialists to deliver... Read More →

Thursday February 27, 2020 8:45am - 9:35am PST
Bldg 03- Auditorium&General .

Company Oracle
Oracle Product Analytics for Applications, Autonomous Data Warehouse, Autonomous Database, Autonomous Transaction Processing, Business Intelligence

9:50am PST

Extracting Metadata from Binary files in Hadoop

Normal code for Hadoop involves text data. In this research effort sonar data files in binary format were loaded into Hadoop and using Java libraries on HDFS the Metadata (latitude, longitude, timestamp)were extracted and stored in a Hive database. The data was then moved to an Oracle Relational Model Database using Sqoop jobs. APEX was used to visualize the geographical data on Google maps.

Speakers

Arijit Das

Research Associate, Naval Postgraduate School

Arijit Das is a computer scientist with BS/MS degrees in Computer Science (MNREC, India & Oregon State University) and an MSEE from University of Nevada Las Vegas. He currently is a research faculty at the Computer Science Department of the Naval Postgraduate School in Monterey, California... Read More →

Mitali Chowdhury

Student, Pacific Grove High School

Mitali Chowdhury is a senior at Pacific Grove High School and a data analytics summer intern at the Naval Postgraduate School. In her research, she has used machine learning algorithms for multiple applications such as detecting anomalous aircraft flights and identifying mines in... Read More →

Shruthik Musukula

Software Development Intern, The Naval Postgraduate School

Shruthik Musukula is a senior at Bellarmine College Preparatory in San Jose. He has developed software for tech companies (Lightbend Inc.) and founded a student-run volunteer organization, CodeIt BayArea, which has taught free programming classes to 942 students from underrepresented... Read More →

Kaylin Li

Student, Lynbrook High School

Kaylin Li is a senior at Lynbrook High School and an intern at the Naval Postgraduate School. Her research involves developing a program to extract metadata from binary sonar files using Hadoop and Java.

Thursday February 27, 2020 9:50am - 10:40am PST
Bldg 23- Rm 1710 .

Big Data, Full Session (50 minutes) | Spatial and Graph, Full Session (50 minutes)

Company Naval Postgraduate School, Pacific Grove High School, Lynbrook High School, The Naval Postgraduate School
Oracle Product Big Data, Database 18c

1:30pm PST

Security and Privacy for Big Data Analytics -- the good, the bad, and the ugly

Today everyone understands the high value of data insights - the “new gold” of 21st century. To deliver business insights we need to collect the data (from various heterogonies data sources), store it efficiently (usually in a Data Lake), and processed it fast (real time or historical trends). The four Vs of the data (volume, variety, velocity, and veracity) already present their own challenges, but the 5th V - value – is only possible if the data is properly secured and protected at every step of the way. Alternatively, the value will turn against us and instead of benefits the same valuable data could bring us serious troubles. This session will provide an overview of the global security and privacy requirements for data acquisition, storage, and processing, as well as the most common paths for achieving proper security posture for data and analytics. We will review some of the most common data exposures and share some hands-on experience in applying the security best practices.

Speakers

Maria Schwenger

Associate Director Cyber Security : DevSecOps, BotCopy

Maria is an innovative cloud transformation and cybersecurity leader well-known for leading multiple successful implementations of the modern vision of cloud optimization, DevSecOps, and data protection, and for her leadership in executing complex digital transformation programs in... Read More →

Shyam Varan Nath

Enterprise Cloud Architect, Oracle

Thursday February 27, 2020 1:30pm - 2:20pm PST
Bldg 23- Rm 1720 .

Big Data, Full Session (50 minutes) | Business Analytics, Full Session (50 minutes)

Company Oracle, Deloitte
Oracle Product Security Monitoring and Analytics

2:30pm PST

(HOL) Using HIVE and Impala via SQL on Big Data - follow along VM

The Oracle Big data appliance uses the Cloudera Hadoop distribution inside. This lab uses a VM for the Cloudera Hadoop Distribution and challenges the student to be a data analyst.1) Lab instructor will slide the whole lab and present it step by step. 2) Student will be given instructions on how to download the VM for the lab and get it setup. they can do this post the lab at the leisure of their home. 3) There will be a lab TA who will address concerns for students who want to do the lab as it is being presented. 4) There will be no Cloud, infrastructure or laptop needed. 5) Students can listen to the whole presentation and focus on the learning. They will be encouraged to take notes and keep it interactive (so they can work on their own later).

Speakers

Arijit Das

Research Associate, Naval Postgraduate School

Jim Zhou

Network Engineer, VA

Jim Zhou graduated with a Master's degree in Computer Science from Naval Postgraduate School. He is a System Analyst with decades of experience in Networking, Servers and Datacenter management.

Thursday February 27, 2020 2:30pm - 3:20pm PST
Bldg 03-HOL-Rm 2100 .

Big Data, Hands-on Lab Session (50 minutes) | General, Hands-on Lab Session (50 minutes)

Company Naval Postgraduate School, Cloudera, VA
Oracle Product Big Data

3:40pm PST

Introduction to the Data Science Service Accelerated Data Science Python SDK

Accelerated Data Science (ADS) is a Python SDK designed to improve a data scientist’s productivity by making common tasks easier, faster and less error prone. In this presentation you'll hear about how ADS leads to better, faster model development, from assistive visualizations to AutoML and model behavior explanations.

Speakers

Daren Race

Director Data Science, Oracle

Manager of a team at Oracle working on a machine learning cloud platform enabling expert data scientist's to work faster and produce better models. 30 years experience in software development.

Thursday February 27, 2020 3:40pm - 4:30pm PST
Bldg 03- Auditorium&General .

Artificial Intelligence and Machine Learning, Full Session (50 minutes) | Big Data, Full Session (50 minutes)

Company Oracle
Oracle Product AI Platform, Autonomous Data Warehouse

3:40pm PST

Building robust and scalable event-driven microservices in the Oracle database

We see a proliferation of data streams being generated by applications, devices, web, processes, etc. which need to be processed, stored, analyzed securely and at scale. There are many technologies to address these event streams, but the key is to recognize that event-driven action is the end goal of these event streams. Once can think of event-driven workflows in ERP, CRM, HCM that have event flows, traditionally using JMS messaging or streaming news, sensor data, social media posts to a varied set of subscribers with Apache Kafka.

Often there are tough architecture choices for setting up the infrastructure, operating it, tuning it, upgrading it, scaling it. In this talk we present the simplicity of setting up Transactional Event Queues in the Oracle database which brings the best of JMS messaging and Kafka produce/consume with transactions that combine data and events delivered with notifications, ideal to build scalable microservices with a multi-model, multi-tenant architecture

Speakers

Sanjay Goil

VP Product Management, Oracle Corp

Sanjay Goil leads product management in the Oracle database team for Messaging, Event streams, and Microservices to helps developers build event driven action applications with the converged, multi-tenant database.Prior to Oracle, Sanjay has led product management in AI/ML at HP... Read More →

Thursday February 27, 2020 3:40pm - 4:30pm PST
Bldg 23- Rm 1730 .

Big Data, Full Session (50 minutes)

Company Oracle
Oracle Product Autonomous Database, Cloud SQL, Database 19c, Database 20c, Messaging

3:40pm PST

Do you have an Analytics Survival Kit? How will you contend with a recession?

While no one can predict with complete accuracy when or if a downturn will hit, it’s clear that our decade-long burst of economic growth may be coming to a close. Discover why this downturn will be different from the ones before, and how your business can gain competitive advantage for when the economy recovers.The key to survival, a nimble and agile organization that leverages Analytics to stay ahead of the risk and their competitors. How can you pre-stage or even reposition analytics to be ready to contend when disaster strikes?

Speakers

Jeff Silverman

Sr. Manager, Grant Thornton

Jeff is an integral part of the Grant Thornton's National Business Analytics practice. He is certified in in over 20 different technologies and specializes in assessment and planning of analytic solutions. He has demonstrated astute analytical ability throughout his professional career... Read More →

Thursday February 27, 2020 3:40pm - 4:30pm PST
Bldg 23- Rm 1720 .

Business Analytics, Full Session (50 minutes) | Big Data, Full Session (50 minutes)

Company Grant Thornton
Oracle Product Analytics Cloud (OAC)