Whats up

From October 16-20, 2017, GoDataFest takes place. This five-day festival is dedicated entirely to the latest technological innovations that enable organizations to take benefit from data. The week is all about sharing.

LinkedIn Facebook Twitter

Business Owners

Share their best-practices and learnings towards becoming a data-driven organization.

Experienced Practitioners

Share their in-depth knowledge as well as the tricks of the trade.

Software Companies

Share the latest technological advancements for the modern data driven enterprise.

Thought Leaders

Share their insights and predictions for what we can expect of the near future.

Programme

Monday – October 16 - Dataiku

09:00 11:00

Breakfast seminar on GDPR

The European Parliament will begin enforcing the General Data Protection Regulation (GDPR) on May 25, 2018. In this seminar, Kenneth Sanford, adjunct professor at Boston College, and lawyer Juliette van Balen will talk about the opportunities of GDPR, and how you can get your organization ready, all over a delicious breakfast!

>> Register Directly

12:00 15:00

Product Demo & Training

Learn how multi-disciplinary data teams can work together to explore, prototype, build, and deliver data products more efficiently. Including lunch.

>> Register Directly

16:00 17:00

Seminar

In this (anonymised) use case, Kenneth Sanford will talk about how a bank built a predictive model of payment defaults, from raw data preparation to machine learning deployment.

Speakers: Kenneth Sanford and a speaker from Vertica

>> Register Directly

18:00 21:30

Dataiku Meetup: Flight Analytics - Applying Data Science to Air Travel

What analysis can you perform to better understand the fascinating world of air travel? How can you can use Dataiku's visual capabilities to build dashboards and data science models? Which data sources are available to try predictive modelling? If you like flying and like data, this is the talk for you.

>> Register Directly

Tuesday – October 17 - Datastax

08:45 09:30

Welcome and Coffee

09:30 12:30

In-depth Datastax & Cassandra Workshop

Interested in the possibilities of Apache Cassandra and Datastax? Then join this in-depth Datastax workshop for data engineers. Topics include:
- Apache Cassandra™ Data Structures and Replication
- Data Modelling with DataStax Enterprise and Apache Cassandra™
- Live Data Indexing with DataStax Enterprise Search with Apache Solr
- DataStax Enterprise Analytics with Apache Spark
- Discussion & Q&A

Trainer: Duyhai Doan, Technical Advocate at Datastax

>> Register Directly

12:30 13:30

Lunch

13:30 17:00

Customer Stories and Innovations

Learn about the latest technological innovations in Apache Cassandra and Datastax Enterprise, and learn how several enterprise customers, including Netflix and Ebay, used Cassandra/Datastax to generate more business value.

Speakers: Duyhai Doan, Technical Advocate at Datastax, and Julien Michel, Solution Engineer at Datastax

>> Register Directly

17:00 19:00

NoSQL Drinks & DataSnacks

Mix and mingle with NoSQL-minded professionals

>> Register Directly

Wednesday – October 18 - Cloudera

08:00 10:00

Breakfast Briefing

Business Value, Risk Reduction, Employer Branding in the age of Data Science

Topics:
- Increase business value and reduce business risk through Customer Insights, IoT and Artificial Intelligence
- Develop a highly-attractive environment for data professionals.

>> Register Directly

10:30 11:45

Presentation & Demo: Deploying Cloudera in the Cloud

Cloud can offer flexibility and agility to your clusters. Learn more about how to deploy Cloudera in the cloud, the best practices for long-running clusters and transient clusters. And see how easy it is to spin up both kind of clusters in the cloud with Altus and Director.

>> Register Directly

10:30 13:00

Training: Introduction to Data Science Workbench

Introduction to Cloudera Data Science Workbench where we will cover several customer use cases and take the hands-on approach with several lab exercises. We will end this session with an overview of the architecture and Q&A.

>> Register Directly

11:45 13:00

Presentation & Demo: Security & Data Governance

Learn how to create secure data hubs for unlimited data with multi-framework data access and how to implement data governance.

>> Register Directly

13:00 14:00

Lunch

14:00 16:30

Training: Introduction to Spark DataFrames

In this training, you will learn to use Spark DataFrames.

We will start with the basic concepts of DataFrames and DataFrames operations. Then, we will explain SparkSQL, Windows ops, how to go from DataFrames to Pandas DataFrames and back. Also, we will teach you how to load and save DataFrames and to use User Defined Functions in DataFrames.

Finally, we will show how you can use DataFrames on your Cloudera cluster.

Trainer: Kris Geusebroek (GoDataDriven)

>> Register Directly

18:00 21:00

Tech Fest

One of the important keys to success in implementing Big Data projects is to build a culture of experimentation, rapid development and continuous improvement. Join Cloudera and Go Data Driven for an evening of experimentation as we work through the process of ingest, exploration, modeling and insights in a hackathon-style competition. Using some of the tools and techniques presented earlier in the day you will work in teams to predict at-risk customers for a fictitious company. Platform and analysis experts from Cloudera and GoDataDriven will be on-hand to assist so come have a drink and some pizza and show off your data hacking skills.

Requirements: You will be provided access to a Big Data platform, a dataset and a business question. Teams will be built based on a mix of Data Science, Data Engineering and Business focus. At least a couple of people in each group should have a laptop capable of connecting to provided WiFi and a Safari, Chrome or Firefox browser.

>> Register Directly

Thursday – October 19 - Google Cloud

09:00 17:00

Serverless Machine Learning Bootcamp

During this bootcamp you’ll learn machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models.

Trainer: Carl Osipov, Data and Machine Learning Technical Trainer, Google Cloud Platform

>>More Information

>> Register Directly

18:00 21:30

Google Cloud Meetup

Meetup Google Cloud for Data Scientists and Data Engineers. In this session, we are going to explore Data Science best practices with Google Cloud. Machine Learning Specialist Erwin Huizenga (Google) and Data Engineer Constantijn Visinescu (Binx.io) will be the speakers of this session.

>> Register Directly

Friday – October 20 - Neo4j

08:30 09:00

Welcome and Coffee

09:00 12:00

Intro to Graph Databases

Introduction to graph databases and the Neo4j graph database product.

The Neo4j graph database is the fastest growing database engine in the market and has hundreds of customer references across Europe and globally, solving significant technology problems for large Enterprises in Finance, Telco, Retail, Utilities, Logistics and Internet sectors. Typical use cases are Recommendations, Fraud Detection, MDM, Network and Software Analysis and Optimization, Identity and Access Management.

Learn what a graph database is, how to install Neo4j, how to query graphs in Neo4j with a query language called Cypher, and how to add and manipulate data.

Presenter: Kees Vegter, Pre-Sales Engineer

>> Register Directly

12:30 15:00

Lunch Seminar

During this lunch seminar we will talk about using graphs for fraud detection. Neo4j is the heart of the solution used to uncover and analyse the Panama Papers and the SwissLeaks scandal.

Strategies from fraudsters evolve rapidly and it is necessary to equip sophisticated but agile fraud detection and prevention systems. They have to detect elements such as offshore networks and synthetic identities acting as capital vehicles, fraud rings or money laundering structures.

Presenters: Kees Vegter, Pre-Sales Engineer & Jonny Cheetham, Sales Director

>> Register Directly

Technology Partners

Dataiku develops Dataiku Data Science Studio, the unique advanced analytics software solution that enables companies to build and deliver their own data products more efficiently.

DataStax delivers the always-on data platform, powered by the best distribution of Apache Cassandra, that helps companies like Netflix, ING, and Netflix, power data management for their cloud applications.

Cloudera delivers the modern data management and analytics platform built on Apache Hadoop and the latest open source technologies.

Google Cloud Platform lets you build and host applications and websites, store data, and analyze data on Google's scalable infrastructure.

Neo4j is an internet-scale, native graph database that leverages connected data to help companies build intelligent applications that meet today's evolving challenges including machine learning and artificial intelligence, fraud detection, real-time recommendations and master data.

Location

GoDataDriven Office / @ The Knowledge Mile
Wibautstraat 202 / 1091 GS Amsterdam