Big Data Training Library
Learn to architect for scale, get hands-on with the leading big data tools, and reveal meaningful insights from data using services on Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Content added and updated weekly.
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9 to 23 of 254 results
Search results 9 - 23 of 254Category: Big Data
- HANDS-ON LABStefano CascavillaWorking With Ephemeral dbt ModelsIntermediateDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand what are ephemeral dbt models, and you will create an ephemeral dbt model that will be then leveraged by a full-refresh model. You will then review what dbt has materialized and what has not.; Duration: Up to 1 hour; Content Topics: Data Modeling; This hands-on lab has: 5 Lab steps
- COURSEStuart ScottRunning Operations & Large Scale Data Transfer in non-AWS Environments with the AWS Snow FamilyIntermediateDuration: 26 minutes and 15 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 26 minutes and 15 seconds; Content Topics: Migration, Storage; This course has: 7 Lectures
- COURSEStuart ScottPerforming Data Transfers using AWS DataSyncIntermediateDuration: 14 minutes and 16 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 14 minutes and 16 seconds; Content Topics: Big Data; This course has: 5 Lectures
- COURSECalculated SystemsSpatial Analysis and Visualization with BigQuery GISIntermediateDuration: 58 minutes and 40 secondsAuthor: Calculated Systems; Difficulty: Intermediate; Duration: 58 minutes and 40 seconds; Content Topics: NoSQL, Big Data; This course has: 8 Lectures
- COURSEStefano CascavillaTech Talk: Introduction to Graph Databases with Neo4jIntermediateDuration: 18 minutes and 8 secondsAuthor: Stefano Cascavilla; Difficulty: Intermediate; Duration: 18 minutes and 8 seconds; Content Topics: Graph Databases; This course has: 1 Lecture
- HANDS-ON LABAndrea GiussaniIntroduction to Financial Data Manipulation with PythonBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: The goal of this lab is to consolidate your data management and manipulation skills using Python.; Duration: Up to 1 hour; Content Topics: Analytics, Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew BurchillTroubleshooting Amazon Athena QueriesIntermediateDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Intermediate; Description: Learn how to use and troubleshoot Amazon Athena SQL queries in this hands-on lab.; Duration: Up to 1 hour; Content Topics: SQL; This hands-on lab has: 4 Lab steps
- LAB CHALLENGEAndrew BurchillAmazon Kinesis Data Stream Processing ChallengeBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Put your Amazon Kinesis, AWS Lambda, Amazon SQS, and AWS IAM skills to the test in this hands-on challenge lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 1 Lab step
- LAB CHALLENGEStefano CascavillaData Build Tool ChallengeAdvancedDuration: Up to 2 hoursAuthor: Stefano Cascavilla; Difficulty: Advanced; Description: Demonstrate your dbt skills by performing tasks required to create and work with a dbt project.; Duration: Up to 2 hours; Content Topics: Data Modeling; This lab challenge has: 4 Lab steps
- LEARNING PATHOracle UniversityOracle Autonomous Database Administration WorkshopIntermediateDuration: Up to 7 hours and 54 minutesAuthor: Oracle University; Difficulty: Intermediate; Description: Learn the fundamentals of Autonomous databases and take your DBA skills knowledge to the next level and learn to deploy and administer Autonomous databases.; Duration: Up to 7 hours and 54 minutes; This learning path has: 9 Courses
- HANDS-ON LABStefano CascavillaBest Practices for Organizing dbt ModelsAdvancedDuration: Up to 1 hour and 15 minutesAuthor: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will define some dbt models and you will organize them following best practices in order to keep and maintain a clear dbt project.; Duration: Up to 1 hour and 15 minutes; Content Topics: Data Modeling; This hands-on lab has: 7 Lab steps
- HANDS-ON LABStefano CascavillaUnderstand and Work With dbt SeedsIntermediateDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand what dbt seeds are, you will create and use them, and will build a model based on a seed.; Duration: Up to 1 hour; Content Topics: Data Modeling; This hands-on lab has: 5 Lab steps
- HANDS-ON LABStefano CascavillaYahoo Finance API Data Visualization PlaygroundBeginnerDuration: Up to 4 hoursAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your Yahoo Finance API and data visualizing skills in a free-rein, empty Jupyter Notebook environment by creating and managing all the components and parts the yfinance and plotly libraries offer.; Duration: Up to 4 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABStefano CascavillaLeveraging the Yahoo Finance API to Retrieve and Visualize Financial DataBeginnerDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will leverage the Yahoo Finance API using the yfinance Python library, and you will visualize the market data using the plotly Python library.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABStefano CascavillaNeo4j PlaygroundIntermediateDuration: Up to 4 hoursAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: Practice your Neo4j skills in a free-rein, empty Neo4j environment by creating and managing graph data in any way you see fit.; Duration: Up to 4 hours; Content Topics: Graph Databases; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew BurchillCentralizing Data Management With AWS Lake FormationBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS Lake Formation and AWS Glue to manage permissions and dataset metadata for a data lake in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Analytics, Storage; This hands-on lab has: 4 Lab steps
- LAB CHALLENGEStefano CascavillaNeo4j Graph Data ChallengeIntermediateDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: Demonstrate your Neo4j skills by performing tasks required to set up a Neo4j environment in this lab challenge.; Duration: Up to 1 hour; Content Topics: Graph Databases; This lab challenge has: 2 Lab steps
- LAB CHALLENGEStefano CascavillaGoogle Cloud Spanner Instance ChallengeBeginnerDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: Demonstrate your Cloud Spanner skills by performing tasks required to create, and configure a Spanner SQL instance and a database.; Duration: Up to 45 minutes; Content Topics: SQL; This lab challenge has: 2 Lab steps
- HANDS-ON LABStefano CascavillaData Build Tool PlaygroundIntermediateDuration: Up to 4 hoursAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: Practice your dbt skills in a free-rein, empty dbt environment by creating and managing all the components and parts dbt offers.; Duration: Up to 4 hours; Content Topics: Data Modeling; This hands-on lab has: 2 Lab steps
- HANDS-ON LABStefano CascavillaGoogle Cloud Spanner PlaygroundBeginnerDuration: Up to 2 hoursAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your Google Cloud Spanner skills in a free-rein, empty GCP environment by creating Cloud Spanner instances and databases in any way you see fit!; Duration: Up to 2 hours; Content Topics: SQL; This hands-on lab has: 2 Lab steps
- LAB CHALLENGEStefano CascavillaYahoo Finance API Data Visualization ChallengeIntermediateDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: Demonstrate your Yahoo Finance API and plotly knowledge by integrating them, fetching market data, and then displaying and plotting them.; Duration: Up to 1 hour; Content Topics: Development; This lab challenge has: 2 Lab steps
- HANDS-ON LABStefano CascavillaVisualizing Crypto Data with CoinGecko PlaygroundBeginnerDuration: Up to 4 hoursAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your CoinGecko Finance API and data visualizing skills in a free-rein, empty Jupyter Notebook environment by creating and managing all the components and parts the pycoingecko and plotly libraries offer.; Duration: Up to 4 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABStefano CascavillaWorking and Visualizing Cryptos Data with CoinGecko and PythonBeginnerDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will use the CoinGecko Python API to retrieve and visualize cryptocurrencies data.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps