Remove Business Intelligence Remove Data Engineering Remove Data Pipeline Remove Data Warehouse
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Building Self Serve Business Intelligence With AI And Semantic Modeling At Zenlytic

Data Engineering Podcast

In this episode Paul Blankley and Ryan Janssen explore the power of natural language driven data exploration combined with semantic modeling that enables an intuitive way for everyone in the business to access the data that they need to succeed in their work. Business intelligence is a crowded market.

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Business Intelligence In The Palm Of Your Hand With Zing Data

Data Engineering Podcast

Summary Business intelligence is the foremost application of data in organizations of all sizes. Zing Data is building a mobile native platform for business intelligence. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day. Missing data?

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Business Intelligence Beyond The Dashboard With ClicData

Data Engineering Podcast

Summary Business intelligence is often equated with a collection of dashboards that show various charts and graphs representing data for an organization. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

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Data Engineering Weekly #173

Data Engineering Weekly

[link] Tweeq: Tweeq Data Platform: Journey and Lessons Learned: Clickhouse, dbt, Dagster, and Superset Tweeq writes about its journey of building a data platform with cloud-agnostic open-source solutions and some integration challenges. The idea will infact open flexibility in programming data over the SQL-based data warehouse systems.

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Building a Data Engineering Project in 20 Minutes

Simon Späti

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

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Modern Data Engineering

Towards Data Science

In this article, I want to talk about crucial things that affect data engineers. We will discuss how to use this knowledge to power advanced analytics pipelines and operational excellence. I’d like to discuss some popular Data engineering questions: Modern data engineering (DE). What is it?

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The Future of Data Engineering as a Data Engineer

Monte Carlo

In the world of data engineering, Maxime Beauchemin is someone who needs no introduction. Currently, Maxime is CEO and co-founder of Preset , a fast-growing startup that’s paving the way forward for AI-enabled data visualization for modern companies. Enter, the data engineer. What is a data engineer today?