Data Silos Lakes and Streams E-Learning Training
Order this amazing, award-winning E-Learning course today!
✔️ 1 year 24/7 access to interactive videos, speeches and practical tasks.
✔️ Progress monitoring to track and improve your learning.
✔️ Certificate of attendance after course completion.
Why choose this course?
In the modern world where data plays a crucial role, managing and analysing data has become an important skill. This course provides you with a comprehensive introduction to dealing with data silos, data lakes and data streams.
What you will learn:
- Data Silos: Understand how data is stored within individual systems and the challenges this poses.
- Data Lakes: Discover how to create a central repository that supports raw and structured data.
- Data Streams: Learn how to manage and process real-time data streams for instant insights.
- Modern techniques and tools: Explore the latest technologies to work efficiently with data and achieve business goals.
- Practical Applications: Combine theory with practical assignments to put your knowledge directly into practice.
This course will give you the knowledge and tools you need to manage complex datasets, deploy them strategically and gain valuable insights.
Who should participate?
This course is designed for:
- IT professionals who want to specialize in data management and analysis.
- Data analysts and engineers who want to understand and apply the concepts of data lakes and streams.
- Decision makers who want to understand data management strategies to drive their organization forward.
- Students or professionals who want to delve into the world of big data and data governance.
Course content
Data Silos, Lakes, & Streams: Introduction
Course: 1 Hour, 20 Minutes
- Course Overview
- Data Silos
- Data Lakes
- Characteristics of Data Lakes
- Data Lake Architecture, Features, and Challenges
- Data Warehouses
- Data Warehouses vs. Data Lakes
- Data Streams
- Migrating Data to AWS
- Data Lakes on AWS
- Working with Data Lakes on AWS
- Exercise: Data Silos, Lakes, and Streams
Data Silos, Lakes, and Streams: Data Lakes on AWS
Course: 1 Hour, 10 Minutes
- Course Overview
- Create a Role for the AWS Glue Service
- Upload Data to S
- Explore the Glue Web Console
- Manually Create Glue Tables
- Query the Data Lake Using Amazon Athena
- Configure and Run Glue Crawlers
- Access Data in Crawled Tables
- Crawl Multiple CSV Files in the Same Folder Path
- Merge Data in Multiple Files in the Same Folder Path
- Work with Files Having the Exact Same Schema
- Exercise: Data Lakes on AWS with S3 and Glue
Data Silos, Lakes, & Streams: Sources, Visualizations, & ETL Operations
Course: 1 Hour, 29 Minutes
- Course Overview
- Set Up a Redshift Cluster
- Create Tables and Load Data From S
- Establish a JDBC Connection to Redshift
- Crawl Redshift Using a JDBC Connection
- Crawl DynamoDB
- Configure QuickSight to Visualize Data
- Visualize Data in QuickSight
- Configure a Job to Perform Extract, Transform, Load
- Execute an ETL Operation in Glue
- Perform ETL to Back Up Redshift Data in S3 Buckets
- Perform ETL to Back Up DynamoDB Data in S3 Buckets
- Exercise: Multiple Sources, Visualizations, and ETL
Get started today!
✔️ Instant access to rich interactive videos and hands-on exercises.
✔️ Track your progress via handy reports and tests.
✔️ Certificate of Participation to prove your new skills.
Order your course now and become an expert in Data Silos, Lakes and Streams!
