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AWS | Cloud Data Lake Dev Day | Nordics

Community Event

Virtual Event

In this virtual workshop, we’ll cover best practices for organizations to use powerful open source technologies to build and extend your AWS investments to make your data lake analytics-ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact - lowering costs, changing time to market, and even revolutionizing industries.

Building Streaming Quality of Service Pipelines with Unified Analytics

Webinar

Online

Streaming services are seeing unprecedented demand as we all seek news and entertainment during the current Covid-19 crisis. As video and audio consumption is high, ensuring quality of service and product stability is more important than ever before. During this webinar, our team will explore how media leaders are achieving massive scale for streaming services with Databricks. We will showcase a live demonstration of a quality of service use case on our platform and lead a discussion on how media leaders are driving scale during these demanding times.

Databricks Online Learning Series: Introduction to Data Science on Databricks

Webinar

Virtual Event

22 April - 3 June 2020 | From 10:00am AEST Free to attend, Databricks’ online learning series is designed to help data teams get a better understanding of how unified data analytics is able to help get their data ready for analytics, empower data science and data-driven decisions across your business, and rapidly adopt machine learning. This is an ongoing series benefiting data engineers, data scientists, BI & data analysts with an under-the-hood experience of Databricks, covering a range of introductory and intermediate level topics to upskill your data & ML skillset. Experts will also be on-hand to help with live Q&A.

Understanding customer behaviours: Customer Lifetime Value and Market Response models

Webinar

Online

The global COVID-19 crisis has been transforming customer’s behaviour in any aspect - digital presence, engagement patterns, buying habits. Current behaviours have no precedence and will not last long as, out of this crisis, it will evolve in a new and hard to predict “normal”. Retail and eCommerce, more than other industries, face the challenge of understanding their customers and adapting their strategies to face even faster changing scenarios. During this webinar, Panos Athanasiou, Strategic Solution Architect, and Lorenzo Baldacci, Solution Architect, at Databricks will demonstrate how you can use Databricks - Notebooks, Spark, Delta Lake and MLflow - to understand each single one of your customers, create a tailored strategy for them, and quickly adapt to new and unpredictable scenarios you are facing nowadays.

Virtual Executive Briefing

Webinar

Virtual Event

Big data analytics, together with AI, helps organisations reduce costs, make faster, better decisions, and create new products or services to meet customers’ changing needs. Within the logistics and service industries, AI tools are ingesting the raw data from Internet of Things (IoT) sensors, combining it with location intelligence, and delivering new kinds of services to meet increasing customer expectations. This executive briefing aims to drive interactive discussions and sharing of learnings and viewpoints amongst analytics leaders from Australia & New Zealand. Featuring Matthew Wright, GM Digital Technology, Kotahi Logistics NZ, and Raela Wang, Databricks industry expert, as presenters.

AWS | Cloud Data Lake Dev Day

Community Event

Virtual Event

In this virtual workshop, we’ll cover best practices for organizations to use powerful open source technologies to build and extend your AWS investments to make your data lake analytics-ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact - lowering costs, changing time to market, and even revolutionizing industries.

Databricks Online Learning Series: Databricks Bootcamp

Webinar

Online Event

As part of the online learning series, this virtual bootcamp will cover an under-the-hood walk-through and demonstrations for data teams currently exploring how powerful open source technologies like Apache Spark™, Delta Lake, and MLflow, can simplify and scale data and ML efforts. This is an immersive, hands-on session with Spark and Databricks experts available online to answer your most pertinent questions to help accelerate your data projects on Databricks.

Alternative Data Analytics using SQL: Analyzing the current global economic climate using alternative data

Webinar

Virtual Event

In Part I of this webinar series, “Alternative Data Analytics with Python: How Rappers and Plant-based Meat Impact Restaurant Stocks” we covered how to ingest and optimize your alternative data sources using Delta Lake. In this webinar (Part II), you'll learn how to build BI dashboards that provide historical and predictive analytics using SQL on Delta Lake.

Data Engineering with Azure Databricks

Webinar

Virtual Event

Join Databricks and Microsoft to learn how to build a reliable and scalablemodern data architecture with Azure Databricks. Learn how autoscalingenables fast and efficient cloud data pipelines. See how native integrationwith Azure services such as Azure Data Factory (ADF) enable cloud scaleETL. Learn how to build reliable data lakes with Azure Data Lake Storage(ADLS) and Delta Lake. Consistently cleanse and enrich data for BI andanalytics. Process streaming data from a variety of sources, such as AzureEvent Hub

Cloudten Webinar: Fraud Detection and Analytics with Databricks

Webinar

Online Event

Australian technology partner, Cloudten, works on customer projects to help address a myriad of data challenges, which include addressing lost revenue from fraudulent claims, and bringing drastic improvements in customer satisfaction through a more effective claims management process. Join Cloudten and Databricks in this informative webinar, which draws from best practices on how to successfully implement fraud detection and analytics using Databricks.