ETL

Learn about ETL (extract, transform, load), and related tools and technology.

What is ETL?

ETL stands for "Extract, Transform, Load", and is the common paradigm by which data from multiple systems is combined to a single database, data store, or warehouse for legacy storage or analytics.

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What is Data Streaming?

Data streaming is the process of sending data records continuously rather than in batches. Generally, data streaming is useful for the types of data sources that send data in small sizes (often in kilobytes) in a continuous flow as the data is generated. Learn more.

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What is Data Quality?

Whether you’re launching a new product or service, or simply responding to the moves of your biggest competitor, making smart, timely business decisions depends almost entirely on the quality of data you have at hand.

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What is ELT?

ELT stands for Extract, Load, Transform. ELT is an evolution of the traditional system where you would extract, transform and then load the data. Learn about the benefits and drawbacks of ELT, and what a modern solution looks like.

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A Modern Approach to Data Migration

When it comes to Data Migration, we shouldn't settle for "good enough". Today's goal should be to spend less time in the ETL part of the process so that you have better data, more data, available sooner.

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Data Migration Tools

There are three primary types of data migration tools to consider when migrating your data: On-premise, open source, and cloud-based. Learn more.

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ETL Process: Traditional vs. Modern

ETL is a process that involves extracting data from disparate sources, transforming it, and loading into a target data store, typically a data warehouse. Learn more about the extract, transform, and load process here.

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What is Data Migration?

Data migration is simply the process of moving data from a source system to a target system. The concept of data migration is simple, but it can sometimes be a complex process. Learn more.

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ETL vs ELT: Differences Explained

The difference between ETL and ELT has to do with the order in which these processes take place. Each of these methods is well-suited to different situations. Learn more.

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Incorporating ETL into Your Data Warehousing Strategy

Learn how automated ETL tools enable business intelligence by integrating with and facilitating ETL into your preferred data warehouse.

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What is Data Ingestion?

Data ingestion allows you to move your data from multiple different sources into one place so you can see the big picture hidden in your data.

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What is Data Cleansing?

The goal of data cleansing is to improve data quality and utility by catching and correcting errors before it is transferred to a target database or data warehouse.

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2018 ETL Tools Comparison

Trying to decide on the best ETL solution for your organization? Learn about the most popular incumbent batch and modern cloud-based ETL solutions and how they compare.

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Open Source ETL Tools Comparison

Open source ETL tools are a low cost alternative to commercial packaged solutions. Just like commercial solutions, they have their benefits and drawbacks. Learn about the advantages and disadvantages of the most widely known open source ETL tools.

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ETL Unleashes Competitive Advantage for the Gaming Industry

Dominating in the data-driven world of online gaming means surmounting numerous challenges, many of which can be effectively addressed with the help of a robust extract, transform, load (ETL) platform. Learn how Alooma can help game developers and publishers transform data into actionable insights.

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ETL Testing: The Future is Here

The ETL testing process used to be arduous - learn how a modern ETL platform built for the cloud era can help test ETL at scale in only a few easy steps.

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Using Real-Time ETL to Improve Decisions

The next evolution of data-driven decisions is real-time data driven decisions. This is how winning businesses of today and the future will compete. For real-time data analysis and decisions to work at scale, they need to be cloud-based, use real-time stream processing and utilize business intelligence tools.

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Harness the power of Salesforce data with ETL

Extract, transform and load (ETL) your Salesforce data to BigQuery, Redshift or Snowflake to get the most out of your data.

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Recruiting a Top Notch ETL Developer

In order to build a great data team, you need great data engineers. Here's how to hire them.

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ETL Tools: A Modern List

Extract, Transform and Load (ETL) tools enable organizations to make their data accessible, meaningful, and usable across disparate data systems. When it comes to choosing the right ETL tool, there are many options to choose from.

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