Data Ingestion Courses and Certifications

Build an End-to-End Data Capture Pipeline using Document AI

Build a document processing pipeline on Google Cloud: trigger Cloud Functions from Cloud Storage uploads, extract form data with Document AI, geocode addresses, and write results to BigQuery.

• Coursera
• 40 minutes
• Self-Paced
• Paid Course

Packt

Databricks Data Engineer Associate: Practical Guide

Build and optimize Databricks data pipelines using Apache Spark, Delta Lake, Unity Catalog, and Delta Live Tables, then apply them in a capstone project.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

Loading Your Own Data into BigQuery

This is a self-paced lab that takes place in the Google Cloud console. This lab teaches you how to ingest data from a CSV file into tables in BigQuery.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Ingesting New Datasets into BigQuery

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to ingest new datasets into tables inside of BigQuery.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Coursera

Salesforce Datacloud: Advanced Consulting Skills

Design Salesforce Data Cloud solutions: ingest and model data, resolve identities into unified customer profiles, build segments, configure streaming insights, and activate data across external systems.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Importing Data to a Firestore Database

In this lab you will upload existing data (a CSV file) to a Firestore serverless database in the cloud.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

The Definitive Guide to Microsoft Fabric

Build a Microsoft Fabric data platform: ingest and unify data in OneLake, transform Lakehouse data into semantic models, add AI, and optimize security and costs.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Packt

Big Data Collection and Storage in AWS

Collect and store big data on AWS: ingest real-time streams with Kinesis and IoT, queue messages with SQS, and configure S3 encryption and DynamoDB tables.

• Coursera
• 2 weeks, 5 hours a week
• Self-Paced
• Paid Course

Lakehouse Architecture for AI-Native Data Platforms

Design governed lakehouse architectures for AI workloads: translate requirements into data product SLOs, compare Delta Lake, Iceberg, and Hudi, and plan replay-safe ingestion, observability, and CI gates.

• Coursera
• 9 weeks, 3 hours a week
• Self-Paced
• Paid Course

Hadoop and Spark Fundamentals: Managing Clusters and Data Pipelines

Import data into HDFS with Hive, Spark, Flume, and Sqoop, build Spark applications in Apache Zeppelin, and install, monitor, and manage Hadoop clusters using Ambari.

• Coursera
• 7 hours 30 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

SQLite for Rust

Drive SQLite from Rust with the rusqlite crate: prepared statements and CRUD, CSV and JSON ingestion via serde, and a clap v4 file-crawling CLI.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

Build & Analyze Your Data Lakehouse

Register file-based cloud datasets as queryable external tables, compare Delta Lake, Iceberg, and Hudi, and build automated ingestion pipelines across medallion architecture zones.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Splunk Enterprise Administration Fundamentals

Install and administer Splunk Enterprise: manage licensing and configuration file layering, troubleshoot with btool, deploy forwarders, and tune parsing, timestamps, and data transformations.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Rent-a-VM to Process Earthquake Data

Spin up a virtual machine, configure its security, connect remotely, and manually run an ingest-transform-publish pipeline on earthquake data.

• Coursera
• 40 minutes
• Self-Paced
• Paid Course

Getting Started with Splunk Cloud GDI on Google Cloud

Configure multiple methods for ingesting Google Cloud data into Splunk Cloud, working step by step through a hands-on lab in the Google Cloud console.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course