ProjectPro

FEBRUARY 8, 2023

Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Informatica PowerCenter: A widely used enterprise-level ETL tool for data integration, management, and quality.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Ascend.io

AUGUST 31, 2023

These requirements are typically met by ETL tools, like Informatica, that include their own transform engines to “do the work” of cleaning, normalizing, and integrating the data as it is loaded into the data warehouse schema. Orchestration tools like Airflow are required to manage the flow across tools.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

dbt Developer Hub

NOVEMBER 28, 2021

From the Airflow side ​ A client has 100 data pipelines running via a cron job in a GCP (Google Cloud Platform) virtual machine, every day at 8am. In a Google Cloud Storage bucket. It was simple to set up, but then the conversation started flowing: “Where am I going to put logs?” Where can I view history in a table format?”

Google Cloud 52

Google Cloud SQL Cloud Consulting 52

ProjectPro

DECEMBER 7, 2021

Talend Projects For Practice: Learn more about the working of the Talend ETL tool by working on this unique project idea. Talend Real-Time Project for ETL Process Automation This Talend big data project will teach you how to create an ETL pipeline in Talend Open Studio and automate file loading and processing.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

dbt Developer Hub

NOVEMBER 22, 2022

Below is a summary table highlighting the core benefits and drawbacks of certain ETL tooling options for getting spreadsheet data in your data warehouse. It’s also the most provider-agnostic, with support for Amazon S3, Google Cloud Storage, Azure and the local file system.

Data Warehouse 52

Data Warehouse ETL Tools Google Cloud Cloud Storage 52

Meltano

OCTOBER 5, 2022

Their tasks include: Designing systems for collecting and storing data Testing various parts of the infrastructure to reduce errors and increase productivity Integrating data platforms with relevant tools Optimizing data pipelines Using automation to streamline data management processes Ensuring data security standards are met When it comes to skills (..)

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

Edureka

FEBRUARY 9, 2023

Data is moved from databases and other systems into a single hub, such as a data warehouse, using ETL (extract, transform, and load) techniques. Learn about popular ETL tools such as Xplenty, Stitch, Alooma, and others. Understanding the database and its structures requires knowledge of SQL.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52