There are few topics in the world right now that are hotter than data and its related fields. As technology, machine learning, and computer algorithms continue to expand, so does the way that companies can use this information to benefit their business.

Extract, Transform, and Load (ETL) remains one of the most important processes in the area of big data. This area is absolutely booming, and so is the demand to learn more about its various processes and components. From ETL architecture to learning about Data Migration Best Practices, there is a nearly vociferous demand for additional information about this field.

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Data & ETL: Why Is It So Important for Today's Businesses?

Today's data is vital for modern businesses because it provides insights into the performance and operations of the business. This can help businesses make more informed decisions, improve efficiency, and ultimately drive growth. ETL is the process of extracting data from various sources, transforming it into a format that is more useful for analysis and reporting, and then loading it into a destination, such as a data warehouse. This is important because it allows businesses to bring all of their data together in one place, making it easier to analyze and gain insights from it.

In addition to helping businesses make better decisions, data can also be used to improve the customer experience. By analyzing customer data, businesses can better understand the needs and preferences of their customers, and use that information to tailor their products and services to meet ever-evolving needs — as the amount of data a business generates grows, so does the need for simple ways to house and interact with that data. The more businesses understand their data, the better relationships they'll build with customers and in turn foster an increasingly loyal customer base.

Overall, data and the ability to ETL data are essential for businesses today because they provide the information and insights needed to make informed decisions, improve operations, and drive growth.

Trends We're Predicting for ETL in 2023

Are you doing everything you can to ensure you and your staff understand ETL? What it is, how to use it, and how to avoid making critical ETL mistakes. Are all easier to comprehend when you've got your eyes on what's coming down the pike.

So what are the trends you should pay the most attention to in ETL this year?

A New "Workspace" is on the Horizon

How we access and consume information today is nothing like it was in the early 2000s. Data has undergone dramatic transformations just in the last few years, and this is a trend we see continuing in the future. To address the evolving needs of data teams and stakeholders, an all-in-one data workspace tool could be a viable solution.

For many years, business intelligence and dashboard tools were the only way data could be visualized and analyzed. Today, we've got multiple tools for drilling the resulting information down into bite-sized chunks more readily understandable by stakeholders outside the data team, such as data catalogs and notebook-style platforms to data app builders and knowledge hubs that unite multiple tools in one place. Given the vast size of the BI market, it seems likely that all of these approaches could coexist as different "children" under the "parent" umbrella of a data workspace.

This data workspace could represent the next evolution of the data catalog, BI dashboard, and notebook all in one. It underscores communication and transparency, helping data teams, users, and stakeholders work together with the same information delivered to each workspace guest in the most understandable language. For anyone working in analytics or BI, this seems like the natural progression toward data-driven insights.

The Race Is On for Reverse ETL Pole Position

More people with no data team experience are learning what data is, how to use it, and what it means. This widespread understanding is resulting in a call for the types of tools they need to work with this data. This need has generated a nearly insatiable demand for reverse ETL, also known as ELT.  Open-source reverse ETL could become as popular as today's average tech stack. Yes, this prediction might be bold, but if you take a look at the reverse data space race currently, there are some pretty strong winds at the back of the ETL space as a whole.

Open-source tools are becoming more widespread and are being used to support the round-trip functions in data transformation. The long tail of extractions is easier to support with open-source tools, which gives reverse ETL a chance to grab a significant share of the market. Its growth will depend on a few factors: how quickly (and how many) organizations become data-driven, how well data teams have integrated the multiple departments in their organizations, and how well vendors of reverse ETL adapt to open-source encroaching on their market.

Fortunately, you can dig into the what and why of ETL at an event or conference near you this year. These conferences introduce you to leading ETL providers, and you can listen to the experts break down the opportunities ETL and reverse ETL (ELT) present today's data-rich organizations.

These events promise to teach your staff all about ETL, its various benefits, and how you can make sure you are using ETL to its maximum benefit.

Here are the top 7 ETL events & conferences of 2023:

1. Data 2023

Date: June 11-13, 2023

Location: Rome, Italy

While the Data 2023 Conference is in-person this year, speakers are allowed to present remotely if they prefer. Of the various ETL events and conferences, Data 2023 seems to be seeking the broadest audience, promoting itself to “researchers, engineers, and practitioners” of various data skills.

Its speakers are from an array of academic and business groups from countries across the world.  The event will also be holding a slew of satellite events. These events will include workshops, tutorials, panels, demos, and special sessions. This year's keynote speaker is Luis Paulo Reis, University of Porto, Portugal.

It promises reviews in five different tracks, including:

  • Business Analytics

  • Data Science

  • Data Management and Quality

  • Big Data

  • Databases and Data Security 

2. International Conference on Data Mining, Big Data, Database and Data Systems

Date: September 9-10, 2023

Location: New York

The International Conference on Data Mining, Big Data, Database and Data Systems is one of many ETL and data events and conferences this year. Submissions are due January 31, 2023, and many papers have already been slated for presentation. A review of the selected papers that will be presented at this conference reveals a huge array of ETL topics, making this one of the more academically oriented conferences of 2023. Topics covered include machine learning, decision-making strategies, predictive analysis, and much, much more.  

This year's conference is the "premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Data Mining, Big Data, Database and Data Systems," according to event organizers. offers the easiest way to ETL and start getting the insights you need from your business data. Try a 14-day trial for yourself.

3. World Data Summit

Date: May 17-19, 2023

Location: Amsterdam, The Netherlands

The World Data Summit is geared towards managers, directors, and other leadership roles overseeing data analysis and big data analytics. Its program page lists a slew of interactive seminars and programming. This includes case studies, presentations from the top data scientists, and additional information on how ETL businesses can better incorporate data analytics. 

Interestingly, they are one of the only conferences that mention “safety” as one of the reasons individuals should attend this conference. This is clearly a reference to the ongoing COVID-19 pandemic that will likely continue to hinder the operations of ETL events and conferences. 

It also lists four tracks: 

  • Evolution of Data Engineering Role

  • Ethics & Privacy in Data and AI

  • Improve Customer Experience with AI

  • Open Source & Metadata Management

The conference also goes out of its way to note the segmentation of the various attendees of their conferences. A wide array of job responsibilities attend the conference, including analysts, consultants, and directors. Attendees also represent at least nine different industries, such as chemicals, finance, and manufacturing. 

4. Gartner Data & Analytics Summit

Date: March 20-22, 2023

Location: Orlando, FL, USA

The Gartner Data & Analytics Summit is a newer entry to this list. It is operated by Gartner, a technology and research organization that seeks to help businesses optimize their technology. The company deals extensively with data and technology, and this conference is meant to expand on that role for individuals who have an interest in it. It is billed as more than just an ETL event and conference and delves extensively with data.

This conference has six different tracks for 2023:

  • Leadership, Skills and Culture

  • Data Management

  • Analytics

  • Strategy and Value

  • Data Science, Machine Learning and Artificial Intelligence

  • Trust, Governance and Privacy

5. International Conference on Data Mining, Big Data, Database, and Data Management

Date: January 30-31

Location: Sydney, Australia

The International Conference on Data Mining, Big Data, Database, and Data Management is coming up fast and will be held in Sydney, Australia this year after last year's virtual-only summit. Calls for papers this year focus on " original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Data Mining, Big Data, Database and Data Management," according to event managers.

6. International Conference on Big Data Management

Date: March 6-7, 2023

Location: Virtual Event

The International Conference on Big Data Management is set in Bangkok but attendance is digital-only again this year. The conference will return to in-person venues in 2024. Fifteen papers have already been selected for this year's agenda. The papers deal with an impressive and diverse array of ETI subjects, including:

  • Imbalanced intrusion detection systems

  • Injury prediction using machine learning

  • Governance, risk management, and compliance

  • Data-driven decision-making in digital entrepreneurship

These papers will all be presented at the conference, along with many others. 

7. International Conference on Data Mining, Big Data, Database and Data Technologies

Date: November 8-9, 2023

Location: Dubai, UAE

The International Conference on Data Mining, Big Data, Database and Data Technologies is set for Dubai this year and offers in-person attendance. This conference "aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Data Mining, Big Data, Database and Data Technologies," say event organizers. This means that its topic areas extend beyond the physical hardware and programming that makes Big Data a reality. It calls for papers to address an array of related topics. This conference is an extended and in-person version of the Big Data conference above.

ETL and Other Data Technology in 2023 and Beyond

These ETL events and conferences are highly diverse. They cover a host of different subject areas led by industry leaders. This includes data integration, data warehouse, and data lake usage, customer experience, data engineering, data governance, and so much more. Locations, methods of presentation, on-demand information, and prices all vary.

However, at the end of the day, the ETL events and conferences listed here are just scratching the surface of the ability that big data has to make a positive difference in the lives of the average business. Staying on top of the latest trends and use cases, properly managing code, and appropriately using enterprise data to gain insight into your consumers is crucial.’s no-code, blazing-fast ETL & CDC can help you manage the responsibilities of your data infrastructure and more with real-time automation. 

Try a 14-day trial for yourself. After you sign up, to get the most value from your trial, schedule your ETL Trial meeting so we can go over what you can expect.