ETL is an acronym for Extract, Transform and Load. It refers to a process of extracting data from one system and transforming it so that it can be loaded into another system. It is the process that lets businesses amass large amounts of data in data warehouses that they can use for business operations. Reverse ETL is a term used when the data is pushed from the warehouse to the CRM. This process seems simple, but there are many pitfalls that can come up during this phase.

If you’re integrating Stripe and Salesforce to help power your business transactions and interactions, you can connect them via a secure ETL service. You get access to real-time information and data to help improve insights and power decisions. Using a top ETL service with little to no code API options makes integrating information fast and easy. You get more possibilities and can share vital information with internal teams to increase business potential.

Azure Synapse Analytics, still commonly known as Azure Data Warehouse, is Microsoft's cloud data warehouse that processes relational and non-relational data for analytics. As one of the most popular data warehousing tools, Azure lets you generate real-time insights into almost every aspect of your business, from sales to customer service. But how do you get data to Azure in the first place? That's where an Extract, Transform, and Load (ETL) tool proves useful.

Data aggregation is the process of gathering data from different sources and combining them into one place. Data aggregators can be used for many things, including predicting trends, identifying potential customers, tracking your competitors, analyzing customer feedback on social media, and much more. This guide will introduce you to all the ways that data aggregation can help your business.

When trying to find the perfect database to store your company’s valuable information and data, there are many elements to consider. And, while there are a number of great databases available for companies to choose from, the process of choosing the right database for your company’s needs and goals can still be a difficult process. However, as you weigh your options, one database that needs to be on your list of considerations is Vertica.

We can all agree that protecting your organization’s sensitive and confidential data, including personally identifiable information (PII), is a crucial obligation. Unfortunately, far too many businesses aren’t sure of the best way to fend off attackers or insider threats, so they often fall victim to devastating data breaches.

Businesses of all sizes are increasingly relying on APIs to create competitive advantages, but many don't know the difference between API Management and API Gateways. This article will discuss what each solution does, how they can be used in conjunction with one another, and why it's essential to use both services when building an API strategy.

Data integration is the core of digital transformation efforts. ETL (extract, transform, load) is what makes such integrations possible. It helps you move massive quantities of information efficiently between a wide variety of sources. Firebolt is a cloud data warehouse that helps companies manage huge volumes of data to support analytics for business insights. It offers high-performance storage and ease of scalability as a low-cost cloud-native solution.

As technology continues to evolve and consume our daily lives, more consumers than ever before are turning to eCommerce options. Of course, one of the largest eCommerce platforms in the world is Shopify. While the Shopify platform has a lot to offer businesses, managing your Shopify store’s data alone can be quite challenging. The good news is that you don’t have to take on the complexities of data management alone.

As the business world increasingly becomes dependent on technology, the way in which companies handle and store their data becomes even more important. Therefore, finding a safe and secure place to store company data is becoming a necessity in the digital age. One robust cloud data warehouse that has been helping many companies safely store their data is known as Amazon Redshift.

Currently, there is an estimated 1.145 trillion MB of data created every single day. With such enormous volumes of data constantly being generated, businesses are quickly adopting cloud computing storage options. However, even with the popularity of cloud computing, many companies are still lagging in storage efficiency. One of the more innovative and efficient data warehouses is the cloud-based data storage solution Firebolt.

Data security is an important priority for every organization that handles customer or user data, especially those that fall under data privacy and protection laws such as the EU’s General Data Protection Regulation (GDPR). Large volumes of personal data flow in and out of companies and their systems every day, and the threat of data breaches looms over these operations. How can organizations use their data to power critical operations without running afoul of regulations or privacy concerns?

Salesforce is the world’s leading CRM (customer relationship management) software, with a 20 percent market share. The Salesforce CRM software is chock-full of features for business intelligence (BI) and analytics so that you can capture hidden insights and make smarter, data-driven decisions. The traditional ETL (extract, transform, load) process extracts data from one or more sources and then deposits it into a centralized data repository.

Over the last two decades, the Salesforce platform has been transforming how organizations handle customer relationship management. Through the platform’s innovation, countless organizations have been able to gain an edge over their competitors when it comes to increased communication and improved customer relationships. Salesforce offers many benefits to organizations and is very user-friendly.

When using Heroku, it is common practice to transfer or back up data to external locations. While there are many steps in this process, creating an efficient pipeline is relatively simple once you understand all the moving parts. In this article, we show you how to migrate data from Heroku to Amazon S3. In this particular case, we will be connecting and transferring Salesforce data.

In the ever-changing world of business, data is becoming more important than ever before. As data earns a more prominent role in business, the way in which organizations handle their data also becomes a bigger concern. If your organization has been looking for a better way to move, transform, and interact with data, then you need to check out the cloud-based data integration solutions of Dell Boomi and Integrate.io.

Simply put, data migration is the process of moving data from one location to another. While the concept is easy to understand by itself, things become a bit more complicated when actually trying to implement data migration within a business. In the ever-changing business landscape, data is becoming more important than ever. In fact, in the new data-driven business world, understanding data migration and learning how to implement it is becoming vital among businesses.

When machines need to communicate with one another and exchange data, they require certain formatting for specific data types. That's where SOAP API and REST API come into play. They allow for communication and transfer of data, but each is different in several ways. From implementation to their required resources, various attributes separate one from the other.

Choosing the right data warehouse is a critical component of your general data and analytic business needs. One of the biggest questions that businesses ask when choosing their data warehouse providers is this: Should you use Snowflake, Amazon RedShift, or Google's BigQuery data warehouse for your business needs? We've already covered Amazon RedShift vs. Snowflake and Google BigQuery vs. Snowflake, but what about Amazon RedShift vs. Google BigQuery?

What can you do with data collected on Heroku PostgreSQL? How will you analyze it and integrate it? With Integrate.io, of course! Integrate.io lets you connect to a PostgreSQL database on Heroku, design a dataflow via an intuitive user interface, aggregate the data, and even save it back to PostgreSQL on Heroku or other databases and cloud storage services. Read on to learn more about the benefits of Heroku Postgres and how to integrate Heroku PostgreSQL with Integrate.io.

In older surveys, data scientists reported that data cleansing occupied around 60 percent of their time and that it was generally the “least enjoyable” part of their job. A few years later, data scientists are still putting a considerable amount of their working hours into data cleansing efforts.

From a high-level point of view, data migration is simple: moving data between two or more locations. Yet, in 2021, data migration is much more than moving a folder from one filing cabinet to another. In practice, migrating data is one of the trickiest and most complex data management initiatives for any IT department, especially if you want to follow data migration best practices.

When it comes to cloud data integration there are many benefits. However, although there are many benefits of cloud data integration for your company, it also comes with its own set of challenges. In the business world of today, cloud technologies have become increasingly more important in the evolving business and IT landscapes. Cloud technologies are used more and more because of the convenience, performance and cost-effectiveness they provide to companies compared to on-premises solutions.

In an increasingly globalized world, businesses are exposed to risks more than ever before. With shrinking profit margins and increased competition, organizations need to be on their toes all the time to survive. That's where the importance of data comes in. The jury might still be out on whether data is the new oil. But the growing market of data analytics outsourcing tells you that more and more companies are investing in data analytic solutions to gain a competitive edge.

If you own an e-commerce website, you need to remain competitive and increase your capabilities in the process. One of the latest and greatest solutions right now is to harness the power of reverse ETL. The abbreviation ETL stands for Extract, Transform, Load, and is one of the best ways to connect business apps and platforms. This ETL tool offers multiple opportunities to transfer your securely stored customer data from the modern data warehouse to multiple other apps and platforms.

With the amount of data being created yearly reaching in the dozens of zettabytes and growing rapidly from year to year, companies have had to find creative solutions to manage big data. That is why loading terabytes of data in minutes or seconds for processing may be absolutely necessary for some businesses. This is the kind of speed and functionality that BigQuery gives. So, what is BigQuery? The Google Cloud suite offers a wide variety of services for every industry.

Many developers are interested in developing an application programming interface (API) for their startup. However, they don't know where to start and what mistakes to avoid. In this blog post, we will explore some of the most common errors made by API developers and how you can prevent them.

In today's increasingly data-driven world, automation is a crucial skill for any professional. Data professionals can automate repetitive tasks and free up their time to focus on more valuable work. This article will discuss the four most common data automation techniques you can utilize in your own business and the automation tools that help your ETL process.

In the ever-changing business landscape, companies are becoming more reliant on their data than defining the Business Use Case ever before. With a greater reliance on data, it’s essential that businesses become aware of these two concepts: data modeling and data architecture.

Change data capture (CDC) is an essential feature to make modern data integration workflows faster and more efficient. By identifying which data sources have changed since you last extracted the information, CDC allows your data pipelines to only ingest the information they need. Rather than continuously polling an API, you can seamlessly perform data replication and integration.

Data warehouses help you run logical queries, build accurate forecasting models, and identify impactful trends throughout your organization. But, what goes into designing a data warehouse? Whether you choose to utilize a pre-built vendor solution or you're starting from scratch — you'll need some level of warehouse design to successfully adopt a new data warehouse.