2 Hour to Data Innovation with Cloudera Data Engineering-

NEW DATE!

February 
05
–
February 
06

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00:00am–00:00pm

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2 Hour to Data Innovation with Cloudera Data Engineering-

NEW DATE!

Wednesday, February 7, 2024

9am-11amPT/11am-1pmCT/12pm-2pmET

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February 
05
–
February 
06
, 
2020
9:30AM
–
1:00PM

Data Anywhere..Innovation Everywhere

 

You’re invited to 2 Hours to Data Innovation with Cloudera Data Engineering on Wednesday, February 7th, 2024, from 9:00 am-11:00 am PT/11am-1pmCT/12pm-2 pm ET. In this hands-on lab, we will introduce you to the key capabilities and you will build an end-to-end Data Engineering pipelines on the Cloudera Data Platform (CDP).


CDP Data Engineering enables IT to deliver a cloud-native self-service Spark ecosystem. It allows you to create, manage, and schedule Apache Spark jobs without the overhead of creating and maintaining Spark clusters. With Cloudera Data Engineering, you define virtual clusters with a range of CPU and memory resources, and the cluster scales up and down as needed to run your Spark workloads, helping to control your cloud costs.


In this lab you will:
- Deploy an Ingestion, Transformation, and Reporting pipeline
- Learn about Iceberg's most popular features
- Orchestrate pipelines with Airflow
- Use the CDE CLI to execute Spark Submits and more



 

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This event is intended for Cloudera customers and prospects only.  This event is not open to our partners.   

Note, there is a limit of 3 people per organization.

All registrations are subject to review and final approval by Cloudera.

Speaker

Pablo Quinones

Cloudera

Senior Solutions Engineer


Pablo is a Senior Solutions Engineer with Cloudera with more than 4 years supporting customers from multiple regions like the Spanish-speaking Americas, Brasil (LATAM), and Canada. With experience at industry giants like Oracle, Pablo’s expertise spans data architecture, open-source software, and data governance. Pablo lives in Toronto and as the leader of our Data Engineering SME team, helps our customers achieve better outcomes with Cloudera’s Data Engineering solutions.

Agenda

9:30am –9:40am

Welcome & Opening Comments

Welcome introduction 

9:40am –10:30am

Cloudera DataFlow (CDF)

Cloudera Data Flow (CDF), Access to Cluster, and Lab 1

10:30am –11:30Pm

Cloudera Edge Management (MiniFi)

Cloudera Edge Management - MiniFi, and Lab 2

11:30Am –12:00Pm

Cloudera Edge Management (EFM)

Cloudera Stream Management - EFM and Lab 3

12:00am–12:30pm

Cloudera Stream Management

Cloudera Stream Management and Lab 4

The Final Countdown!
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Frequently Asked Questions

What is Cloudera?

Cloudera is revolutionizing enterprise data management by offering the first unified Platform for Big Data: The Enterprise Data Hub. Cloudera offers enterprises one place to store, process, and analyze all their data, empowering them to extend the value of existing investments while enabling fundamental new ways to derive value from their data. Founded in 2008, Cloudera was the first, and is currently, the leading provider and supporter of Apache Hadoop for the enterprise. Cloudera also offers software for business critical data challenges including storage, access, management, analysis, security, and search.

What is big data?

Generally speaking, the term “Big Data” refers to any data that for whatever reason (not just volume) cannot be affordably managed by your traditional systems. Big Data is a relative concept and is highly contextual to the environment. For example, even if your organization doesn’t accumulate data on a Facebook-like scale, or even if it primarily collects just one type of data, it may well have Big Data challenges as well as opportunities. Big Data presents a tremendous opportunity for enterprises across industries. By tapping into new volumes and varieties of data, organizations can ask questions about their customers and their business like never before.

What is an enterprise data hub?

An enterprise data hub is one place to store all your data, for as long as desired or required, in its original fidelity; integrated with existing infrastructure and tools; with the flexibility to run a variety of enterprise workloads -- including batch processing, interactive SQL, enterprise search, and advanced analytics -- together with the robust security, governance, data protection, and management that enterprises require. With an enterprise data hub, leading organizations are changing the way they think about data, transforming it from a cost into an asset.

Contact Us

US: +1 888 789 1488

Outside the US: +1 650 362 0488

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