ThoughtSpot
SEPTEMBER 6, 2023
The pathway from ETL to actionable analytics can often feel disconnected and cumbersome, leading to frustration for data teams and long wait times for business users. And even when we manage to streamline the data workflow, those insights aren’t always accessible to users unfamiliar with antiquated business intelligence tools.
François Nguyen
MARCH 22, 2021
TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. As you can see, this is in the code part where you are building your data pipelines, a misnomer because this is an over simplification. The other benefit is you can also use parameters and build a generic workflows to be re-used.
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Databand.ai
AUGUST 30, 2023
DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.
Knowledge Hut
SEPTEMBER 27, 2023
Its interface is designed to be straightforward, making it easy for individuals familiar with Excel to transition into the world of data analysis and reporting. This characteristic minimizes the initial training required, enabling users to quickly harness the power of data.
Meltano
OCTOBER 5, 2022
We’ll explain what a data engineer is, what the job entails, and how to become a data engineer. Plus, we’ll explain how data engineers use Meltano, our DataOps platform, for efficient data management. What Is Data Engineering? A data engineer’s focus is mainly on raw data, formats, security, and storage.
Meltano
OCTOBER 5, 2022
Think about data operations as a factory assembly line where a warehouse engineer optimizes and automates processes to increase productivity and product quality. In the same way, a DataOps engineer designs the data assembly line that enables data scientists to derive insights from data analytics faster and with fewer errors.
Knowledge Hut
MARCH 28, 2024
Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.
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