Learn how to build Modern Data Analytics Solutions on AWS
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By Rohan Patil, Sr. Product Manager, AWS Training and Certification
- Editor’s Note 11/15/2022: Good news, AWS Partners! This course collection is now available as part of the free AWS Partner Training catalog. Build skills on the latest AWS Data and Analytics Services that your customers are using and help them make better decisions with speed and agility at scale. The free Building Modern Data Analytics Solutions on AWS course collection lets you select the right training on specific AWS Services to meet your customers’ needs. Find an upcoming Building Modern Data Analytics Solutions on AWS partner class or learn more today about each course and language availability.
Organizations have to deal with data volumes that are increasing at an unprecedented rate, proliferating from terabytes to petabytes and sometimes exabytes. We have seen that traditional on-premises data analytics approaches simply cannot handle these data volumes. These traditional approaches do not scale well enough, are too expensive, and are difficult to maintain and update. Thus, organizations need to think about modernizing their data analytics and migrating over to the AWS cloud because AWS provides the broadest selection of analytics services that fit all their data analytics needs and enables organizations of all sizes and industries to reinvent their business with data.
Migrating your data and data analytics to the AWS cloud, means you can benefit from trading fixed expenses with lower variable costs and enjoy lower pay as-you-go prices with AWS’s scale, eliminating capacity planning and data center operations, increased agility and speed of experimentation and innovation, and have a global presence with deployment options across multiple regions of the world.
To successfully innovate with data-driven initiatives and transform their business, organizations need highly skilled Data Architects, Data Engineers, and Developers. These are hard to find skills in the market today. Also, organizations cannot hire their way out of a skills gap, so they must explore training programs that reskill and upskill their existing employees. According to research conducted by Enterprise Strategy Group in 2022, with business decision makers across multiple industry verticals including, manufacturing, financial, engineering, technology, and healthcare, among others, we know that 94% of organizations say they are in a better competitive position because their staff has taken AWS-authored training.
Consider our collection of instructor-led training courses, called the Building Modern Data Analytics Solutions on AWS, which teaches data teams and developers how to build a truly modern data analytics solution on AWS. They will learn how to use AWS for data movement, data storage, big data analytics, data lakes, streaming analytics, business intelligence, and machine learning (ML). This collection of courses allows you to mix and match the training your teams want to take in any combination they need, so that they can acquire the skills to establish a modern data architecture on AWS.
What is a modern data architecture?
A modern data architecture acknowledges the idea that taking a one-size-fits-all approach to analytics eventually leads to compromises. Thus, it is no longer just a matter of integrating a data lake with a data warehouse. It means also integrating data lakes and data warehouses with purpose-built databases with a strong focus on seamless data movement, unified governance, scalability, performance, and cost effectiveness. Employing a modern data architecture on AWS would mean that data teams and developers can rapidly build scalable data lakes, use a broad and deep collection of purpose-built data services, ensure compliance via a unified data access, security, and governance, scale their systems at a low cost without compromising performance, and easily share data across organizational boundaries, allowing them to make decisions with speed and agility at scale.
This is where the Building Modern Data Analytics Solutions on AWS collection of courses comes in. AWS expert instructors can help your organization gain the knowledge and skills to unlock their potential and your data.
About the collection
The Building Modern Data Analytics Solutions on AWS collection is comprised of the following intermediate-level, one-day instructor-led courses:
Building Data Lakes on AWS
In the Building Data Lakes on AWS course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further their learning with the exploration of several common data lake architectures.
Building Data Analytics Solutions Using Amazon Redshift
In the Building Data Analytics Solutions Using Amazon Redshift course, you will learn how to build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.
Building Batch Data Analytics Solutions on AWS
In Building Batch Data Analytics Solutions on AWS, you will learn how to build batch data analytics solutions using Amazon EMR and AWS Glue. Amazon EMR provides a managed Apache Hadoop service to enable cost-effective processing of large amounts of data using distributed applications such as Apache Spark and Apache Hive. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon EMR and AWS Glue with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR and AWS Glue.
Building Streaming Data Analytics Solutions on AWS
In Building Streaming Data Analytics Solutions on AWS, you will learn how to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda. The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.
Best practices for the courses
The courses in this collection can be taken scheduled according to the team’s convenience in any sequence or combination as needed to learn about solutioning with our Data and Analytics services.
We highly recommend taking one these foundational courses before attending: AWS Technical Essentials or Architecting on AWS. We believe starting out with the Building Data Lakes on AWS course and then progressing to the other courses is the best way to acquire these skills.
Whether you attend these classes virtually or in-person, you will have an opportunity to ask questions, work through solutions with peers, and get real-time feedback from expert AWS instructors with deep technical knowledge.
Is the AWS Certified Data Analytics – Specialty your goal?
If you want to earn an industry-recognized credential from AWS that validates your expertise in AWS Analytics services, you may want to consider the AWS Certified Data Analytics – Specialty certification. The Building Modern Data Analytics Solutions on AWS course collection explores ingestion, storage, and processing topics around Data Lakes, Batch and Streaming Data Analytics, and Data Warehousing. We offer additional information to help prepare for the AWS Certified Data Analytics – Specialty exam.
Review and register for one or more of our classroom courses in the Building Modern Data Analytics Solutions on AWS collection. If you’d like to learn more about our AWS Training and Certification offerings for data analytics, visit the Learn About Data Analytics page.