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ETL Developer vs Data Engineer: Key Differences

Data management is one of today's most critical business function. Without a solid grasp of what data management entails, organizations can't use data effectively. So, businesses look to ETL developers and data engineers for everything from data processing and management basics to regulatory compliance and the overall processes that help businesses use data to steer organizational decisions.

What is Streaming ETL?

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream. Depending on the source and purpose of the data, an event could be a single user visit to a website, a new post on a social media platform, or a data point from a temperature sensor.

Top 14 ETL Tools for June 2024

Organizations of all sizes and industries now have access to ever-increasing amounts of data, far too vast for any human to comprehend. So far in 2023 so far, the world produced and consumed 328.77 million terabytes of data per day — an almost unimaginable number. However, all this information is useless without a way to efficiently process it, analyze it, and reveal the valuable data-driven insights hidden within the noise.

Hands-on Demo: Enterprise ELT Tailored for Heavy Workloads

As organizations scale, data systems often don’t scale perfectly along with them. Data silos, data quality, and tedious technical maintenance - these are just some of the obstacles that enterprise data teams grapple with. In this webinar, Cade Winter, Director of Solutions Engineering at Hevo Data explores the advantages that a cloud-based SaaS approach can provide for large datasets, and how exactly you can implement one to handle your enterprise ELT effectively.

Data Ingestion vs. ETL: Understanding the Difference

Working with large volumes of data requires effective data management practices and tools, and two of the frequently used processes are data ingestion and ETL. Given the similarities between these two processes, non-technical people seek to understand what makes them different, often using search queries like “data ingestion vs ETL”.

Combine data across BigQuery and Salesforce Data Cloud securely with zero ETL

We are excited that bidirectional data sharing between BigQuery and Salesforce Data Cloud is now generally available. This will make it easy for customers to enrich their data use cases by combining data across different platforms securely, without the additional cost of building or managing data infrastructure and complex ETL (Extract, Transform, Load) pipelines.

Top 7 AWS ETL Tools in 2024

Amazon Web Services (AWS) ETL refers to a cloud-based set of tools and services that help extract data from different sources, make it usable, and store it in a way that makes it easy to analyze and make decisions based on it. AWS ETL tools offer a unique advantage for businesses seeking to streamline their data processes. These tools are efficient, scalable, and adaptable, making them ideal for a wide range of industries, from healthcare and finance to retail and beyond.

Snowflake ETL Tools: Top 7 Options to Consider in 2024

Snowflake has restructured the data warehousing scenario with its cloud-based architecture. Businesses can easily scale their data storage and processing capabilities with this innovative approach. It eliminates the need for complex infrastructure management, resulting in streamlined operations. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs.

ETL Testing: Processes, Types, and Best Practices

ETL testing is a set of procedures used to evaluate and validate the data integration process in a data warehouse environment. In other words, it’s a way to verify that the data from your source systems is extracted, transformed, and loaded into the target storage as required by your business rules. ETL (Extract, Transform, Load) is how data integration tools and BI platforms primarily turn data into actionable insights.