Learn about ETL (extract, transform, load), and related tools and technology.
- Data Analysis
- Data Integration
- Data Migration
- Data Pipeline
- Data Warehouse Resources
- How to Guides
What is Data Preparation?
Data preparation is a process of gathering, cleansing, and organizing data so that it can be analyzed. Learn more.Read blog post
What is Data Mining?
Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships.Read blog post
What is Data Validation?
Data validation is a method for checking the accuracy and quality of your data, typically performed prior to importing and processing.Read blog post
What is Data Profiling?
Data profiling is a process of examining data from an existing source and summarizing information about that data. You profile data to determine the accuracy, completeness, and validity of your data.Read blog post
What is Data Loading?
Data loading refers to the "load" component of ETL. After data is retrieved and combined from multiple sources (extracted), cleaned and formatted (transformed), it is then loaded into a storage system, such as a cloud data warehouse.Read blog post
The State of ETL: Traditional to Cloud
Though the ETL process and traditional ETL tools have been serving the data warehouse needs, the changing nature of data and its rapidly growing volume have stressed the need to move to a modern, cloud-based solution. Learn more.Read blog post
What is Data Transformation?
Data transformation is the process of converting data from one format or structure into another format or structure.Read blog post
What is Data Extraction?
Data extraction is a process that involves retrieval of data from various sources. Frequently, companies extract data in order to process it further, migrate the data to a data repository (such as a data warehouse or a data lake) or to further analyze it.Read blog post
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.Read blog post
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.Read blog post
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.Read blog post
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.Read blog post
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.Read blog post
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.Read blog post
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.Read blog post
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.Read blog post
2019 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.Read blog post
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.Read blog post
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.Read blog post
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.Read blog post
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.Read blog post
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.Read blog post
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.Read blog post