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Building cost effective data pipelines with Python & DuckDB

Start Data Engineering

Project demo 3. Building efficient data pipelines with DuckDB 4.1. Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Introduction 2. Use DuckDB 4.4.

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Snowflake’s New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease

Snowflake

Since the previous Python connector API mostly communicated via SQL, it also hindered the ability to manage Snowflake objects natively in Python, restricting data pipeline efficiency and the ability to complete complex tasks. Or, experience these features firsthand at our free Dev Day event on June 6th in the Demo Zone.

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Data Pipeline Observability: A Model For Data Engineers

Databand.ai

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability.

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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. We’ll answer the question, “What are data pipelines?” Table of Contents What are Data Pipelines?

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Making Data Pipelines Self-Serve For Everyone With Shipyard

Data Engineering Podcast

Summary Every part of the business relies on data, yet only a small team has the context and expertise to build and maintain workflows and data pipelines to transform, clean, and integrate it. RudderStack’s smart customer data pipeline is warehouse-first.

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Analysing historical and live data with ksqlDB and Elastic Cloud

Confluent

Building data pipelines isn’t always straightforward. The gap between the shiny “hello world” examples of demos and the gritty reality of messy data and imperfect formats is sometimes all too […].

Cloud 139
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Stream Rows and Kafka Topics Directly into Snowflake with Snowpipe Streaming

Snowflake

Snowflake enables organizations to be data-driven by offering an expansive set of features for creating performant, scalable, and reliable data pipelines that feed dashboards, machine learning models, and applications. But before data can be transformed and served or shared, it must be ingested from source systems.

Kafka 134