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IBM Data Engineering

Course 1: Introduction to Data Engineering– Offered by IBM. This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational … Enroll for free. Course…

Data Engineering with MS Azure Synapse Apache Spark Pools

Big Data Engineering In this module you will learn how to differentiate between Apache Spark, Azure Databricks, HDInsight, and SQL Pools. You will also learn how to ingest data using Apache Spark Notebooks in Azure…

Microsoft Azure Databricks for Data Engineering

Introduction to Azure Databricks Describe the capabilities of Azure Databricks and the Apache Spark notebook for processing huge files. Describe the Azure Databricks platform and identify the types of tasks well-suited for Apache Spark. Describe…

Connect Your Services with Microsoft Azure Service Bus

Certification and Exam Preparation When you have an application that consists of components running on different computers, servers, and mobile devices, reliable communications between those components can be difficult and unreliable. Azure provides several technologies…

Generando un Data Lake House con Azure Synapse Analytics

Creating Reusable Pipelines in Cloud Data Fusion

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to build a reusable pipeline that reads data from Cloud Storage, performs data quality checks,…

Running a Spark Application with OpenCV on Cloud Dataproc

This is a self-paced lab that takes place in the Google Cloud console. Cloud Dataproc is a managed Spark and Hadoop service that lets you take advantage of open source data tools for batch processing,…

Building Dynamic Pipelines in Cloud Data Fusion Using Macros

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to use macros in Data Fusion that introduce dynamic variables to plugin configurations so that…

Provisioning and Using a Managed Hadoop/Spark Cluster with Cloud Dataproc (Command Line)

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to start a managed Spark/Hadoop cluster using Google Cloud Dataproc, submit a sample Spark job,…

Run a Big Data Text Processing Pipeline in Cloud Dataflow

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use Google Cloud Dataflow to create a Maven project with the Cloud Dataflow SDK, and run a…

Microsoft Azure Data Engineering Associate (DP-203)

Course 1: Microsoft Azure for Data Engineering– Offered by Microsoft. The world of data has evolved and the advent of cloud technologies is providing new opportunities for businesses to … Enroll for free. Course 2:…

Plataformas para procesar datos no tradicionales​

Course 1: Arquitecturas de Big Data – Offered by Universidad de los Andes. El curso de Arquitecturas de Big Data busca que identifiques las características de una solución de Big … Enroll for free. Course…

Python, Bash and SQL Essentials for Data Engineering

Course 1: Python and Pandas for Data Engineering– Offered by Duke University. In this first course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will learn … Enroll for free. Course…

NoSQL, Big Data, and Spark Foundations

Course 1: Introduction to NoSQL Databases– Offered by IBM. This course will provide you with technical hands-on knowledge of NoSQL databases and Database-as-a-Service (DaaS) … Enroll for free. Course 2: Introduction to Big Data with…

Building Batch Data Pipelines on Google Cloud

Introduction In this module, we introduce the course and agenda Introduction to Building Batch Data Pipelines This module reviews different methods of data loading: EL, ELT and ETL and when to use what Executing Spark…