Writing from our team. The latest news, insights, and resources.

How to Use the assert Statement in Python

Software development requires both testing and debugging to make sure the code functions properly and consistently. The assert statement is one effective tool Python provides for these kinds of tasks. The assert statement, which is frequently underutilized, may greatly increase the robustness of your code by identifying mistakes early on and confirming that your assumptions...

By: Chris Garzon | June 20, 2024 | 9 mins read
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Python Data Visualization

Python Data Visualization Interview Questions

Python, known for its extensive range of powerful visualization libraries like Matplotlib, Seaborn, and Plotly, has become the go-to language for creating informative and visually compelling visualizations. Technical interviews often feature data visualization questions to evaluate a candidate’s ability to communicate data-driven insights through meaningful graphs. This article aims to guide you through the Python...

By: Chris Garzon | May 29, 2024 | 8 mins read
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top 10 data pipelines

10+ Top Data Pipeline Tools to Streamline Your Data Journey

This article will introduce you to more than 10 top data pipeline tools that can streamline your data journey by offering scalability, fault tolerance, and seamless integration. From real-time streaming with Apache Kafka to automated data connectors like Fivetran, we’ll explore tools that address a wide range of data needs. By understanding the features and...

By: Chris Garzon | May 27, 2024 | 7 mins read
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Amazon MSK

Get Started with Amazon MSK – Key features

Amazon Managed Streaming for Apache Kafka (MSK) is a fully managed service that simplifies setting up and running Apache Kafka clusters. Kafka is a popular open-source platform for real-time data streaming, event processing, and data integration tasks, but managing and scaling Kafka clusters can be resource-intensive. With Amazon MSK, engineers and developers can focus on...

By: Chris Garzon | May 24, 2024 | 8 mins read
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Data modeling

Conceptual Data Modeling: Free examples

Conceptual data modeling is the first step in structuring the essential information that supports the foundation of a database or data-driven project. Unlike detailed technical models, a conceptual data model focuses on high-level business entities and the relationships between them, providing a clear view of the data and its organizational significance. This modeling stage is...

By: Chris Garzon | May 17, 2024 | 9 mins read
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What is Amazon Athena? Comprehensive Tutorial

Amazon Athena is a serverless, interactive query service that makes it easy to analyze data directly from Amazon S3 using standard SQL. With Athena, you don’t need to worry about managing infrastructure, provisioning servers, or handling complex ETL processes; instead, you can quickly start querying data stored in various formats, from CSV and JSON to...

By: Chris Garzon | May 15, 2024 | 8 mins read
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Docker Fundamentals for Data Engineers

Docker is a platform designed to simplify the process of developing, shipping, and running applications by using container technology. Containers are lightweight, consistent environments that encapsulate everything an application needs to function, regardless of the underlying system. They enable developers to package their software with all required dependencies, ensuring it runs seamlessly across different computing...

By: Chris Garzon | May 6, 2024 | 10 mins read
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System Design Free Example: Customer Identity Resolution

Fragmented customer data across disparate systems presents a significant challenge for modern enterprises. Customer Identity Resolution (CIR) emerges as the technical solution, employing algorithms and data science methodologies to unify customer identities and establish a single source of truth. This article dissects the core components of CIR, exploring data matching techniques, probabilistic models, data quality...

By: Chris Garzon | April 16, 2024 | 9 mins read
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Data Engineering: Incremental Data Loading Strategies

Incremental data loading is an approach to data integration that transfers only the new or changed records from one database or data source to another, rather than moving the entire data set. This method is especially beneficial in environments where data changes frequently and data volumes are large, as it significantly reduces the amount of...

By: Chris Garzon | April 12, 2024 | 8 mins read
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10 Best ETL Tools 2024

ETL tools automate processes, improve data accuracy, and generate valuable insights. This article reviews the top 10 ETL tools of this year, focusing on their distinctive features, scalability, ease of use, and overall performance. It is intended for data engineers looking to expand their toolkit with the latest ETL technologies, as well as business leaders...

By: Chris Garzon | April 10, 2024 | 6 mins read
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What is A Graph Database?

Graph databases are a specialized category of database technologies that efficiently display, store, and query relationships between data objects. They use the concept of graph theory, structuring data as nodes (entities) and edges (relationships), each of which can potentially be decorated with properties to provide context. Graph databases differ significantly from traditional relational databases by...

By: Chris Garzon | April 5, 2024 | 10 mins read
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Data Orchestration: Process and Benefits

Data engineers today face the formidable task of managing increasingly complex data pipelines. With data pouring in from diverse sources and the demand for real-time insights growing, ensuring smooth and efficient data workflows is crucial. This is where data orchestration tools come in, offering automation and control to streamline the entire data journey, from extraction...

By: Chris Garzon | April 3, 2024 | 12 mins read
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How to Validate Datatypes in Python

This article isn’t just about the ‘how’ — it’s an exploration of the best practices and methodologies seasoned data engineers employ to enforce data types rigorously. We’ll dissect the spectrum of techniques available in Python, from native type checking to leverage robust third-party libraries and distill these into actionable insights and patterns you can readily...

By: Chris Garzon | March 22, 2024 | 11 mins read
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Data Pipeline Design Patterns

Data pipeline design patterns are the blueprint for constructing scalable, reliable, and efficient data processing workflows. These patterns provide a structured approach to solving common data pipeline challenges, such as handling large volumes of data, processing data in real-time, and ensuring data quality. By leveraging these design patterns, businesses can streamline their data operations, reduce...

By: Chris Garzon | March 19, 2024 | 18 mins read
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