In this training, you will learn about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. We will show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We will also teach you how to create Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security and cost-effectiveness.
What You'll Learn
Navigating the Big Data Landscape
- Fit AWS solutions inside a Big Data ecosystem
- Choose appropriate AWS data storage options
- Comprehend and manage costs and security for a Big Data solution
- Identify options for ingesting, transferring, and compressing data
Elastic Map Reduce
- Leverage Apache Hadoop in the context of Amazon EMR
- Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster
- Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming
- Improve the ease of use of Amazon EMR by using Hadoop User Experience (Hue)
- Use in-memory analytics with Apache Spark on Amazon EMR
Learn the Ins and Outs of Various Big Data Services
- Identify the benefits of using Amazon Kinesis for near real-time Big Data processing
- Leverage Amazon Redshift to efficiently store and analyze data
- Leverage Amazon Athena for ad-hoc query analytics
- Use AWS Glue to automate extract, transform, and load (ETL) workloads
- Use visualization software to depict data and queries using Amazon QuickSight
AWS Certified Data Analytics – Specialty
Earn an industry-recognized credential from AWS that validates your expertise in AWS data lakes and analytics services. Build credibility and confidence by highlighting your ability to design, build, secure, and maintain analytics solutions on AWS that are efficient, cost-effective, and secure. Show you have breadth and depth in delivering insight from data.
Abilities Validated by the Certification
- Define AWS data analytics services and understand how they integrate with each other
- Explain how AWS data analytics services fit in the data life cycle of collection, storage, processing, and visualization
This Big Data Training Is Perfect for:
- Solutions architects
- SysOps administrators
- Data scientists
- Data analysts
Prerequisites
- At least 5 years of experience with data analytics technologies
- At least 2 years of hands-on experience working with AWS
- Experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions
Meet your instructor
We started Binx.io because we know moving to cloud is the single most significant technology shift your company will face over the next decade. We are your trusted advisor on this journey and are determined to build a great company along the way.
We are vendor agnostic and focus on leading cloud technology solutions. We are home to true specialists in Amazon Web Services, Google Cloud Platform, Microsoft Azure and Alibaba Cloud. We deliver cloud consultancy, training and managed services.
Instructor: Martijn van de Grift
Martijn is a Cloud consultant at Binx.io, where he specializes in creating solutions using GCP and AWS. He holds the most relevant technical certifications for both clouds. He has a great passion for IT and likes to work with the latest technologies. He loves to share this passion during training, and webinars, where he brings experience from assignments at companies including Booking.com, Weeronline, and ZorgDomein.
The Right Format For Your Preferred Learning Style
At Binx we offer four distinct training modalities:
- In-Classroom Training
- Online, Instructor-Led Training
- Hybrid and Blended Learning
- Self-Paced Training
Learn more about our training modalities
