Data Integration

The Major Differences between Matillion ETL and K3 ETL Is your organization considering an ETL solution for its data needs? Here is a high-level comparison of the Matillion ETL and K3 ETL platforms to determine which option is a better fit. Ease of use: Matillion ETL is a lower-code environment; K3 visualizes and normalizes data

Data is king for small, medium and large organizations alike, but data can also be a monster lurking under the bed. Terms like data lake, ETL (extract, transform, load) and data warehousing sometimes intimidate even the savviest business professionals. No matter how daunting, however, modern data collection isn’t slowing down. By 2025, it is estimated

There was a time when building your own data integration infrastructure, engine and workflow made sense. Back then, there were few vendors and services that could integrate with the many heritage systems you acquired to manage, calculate, display and activate data. And the ones that did required tons of coding and still delivered data in

The Appeal of Amazon Redshift Amazon’s cloud-based data warehousing service has become one of the leading petabyte-scale stores of data that works with K3 ETL tools. Moreover, with a globally-known company like Amazon developing and maintaining this service, its reputation for service must be top-notch—right? Like its competitor Snowflake, Amazon Redshift has a few big

K3 Low-Code ETL for AWS Redshift Data Orchestration Sophisticated data orchestration and storage require sophisticated solutions. Amazon Redshift has you covered for storage. Its massively parallel processing (MMP) database has set the standard for cloud-based data warehousing. As primarily a data warehouse, however, Redshift is geared to specific, fairly rigid workloads when it comes to

There is no denying that data is king. But before the coronation, raw data needs to go through a series of steps so it can effectively be used to help achieve the organization’s goals. ETL (extract, transform, load) is the vehicle that transports raw data to its final destination. It turns “dirty data” into “clean

Key Contrasts Between K3 ETL Integration and Informatica Stark differences emerge when comparing K3 ETL to Informatica: Code Environment: As the leader in low-code ETL, K3 allows non-technical strategists to refine the data they need. Informatica is extremely high-code and requires an army of developers to make it work. Informatica came from decades ago.  It

The Major Differences between BizTalk Data Integration and K3 ETL and Data Prep Is your organization considering an ETL solution for its data needs? Here is a high-level comparison of the Microsoft BizTalk and K3 ETL platforms to determine which option is a better fit. Ease of use: BizTalk requires expert-level coding knowledge; K3 visualizes

ETL frameworks, which make it possible to visually map and normalize data, are imperative for organizations that want to make data-driven decisions. In part one of this two-part blog series, we discussed the importance of establishing an ETL framework[CT1] . Now we’re going to delve into the challenges that can arise during this process and

Major Differences Between Fivetran and K3 Overall, which is better — Fivetran or K3? Let’s do a high-level comparison to find out. Fivetran only offers  limited transformation capabilities. Most of the Fivetran functionality is focused on connecting to data sources. Fivetran is expensive to scale: Fivetran uses a consumption-based pricing model that skyrockets with higher

The Major Differences between SSIS ETL and K3 ETL Is your organization considering an ETL solution for its data needs? Here is a high-level comparison of the SSIS ETL and K3 ETL platforms to determine which option is a better fit. Ease of use: SSIS requires expert-level coding knowledge; K3 visualizes and normalizes data with

How on earth do you get data out of a database? How do we do this regularly, programmably and in an automated way to support our data analytic functions?   There are just so many instances where we have the greatest analysts with fantastic analytical toos tools.  They are ready to go  But, low and behold,

First off, let’s ask: “What’s so great about Snowflake?” Lots and lots of discussion about Snowflake. It’s new and novel. As with any technology, there are pros and cons. Let’s talk about that! While Snowflake data warehouses offer nice “pros” to businesses when compared to traditional data warehouse offerings, it’s important to understand the contrasting

When you consider processes that are absolutely essential to your IT department, data transformation is at the top of the list. Since everything else relies on the data undergirding your decisions, the right applications can make the difference in terms of speed and quality. Since everything else relies on the data undergirding your decisions, the

Why Choose Amazon Redshift for Data Warehousing? As one of the most popular platforms today, Amazon Redshift offers enterprise businesses everything they need for building a data warehouse or data lake.  With a cloud-based, petabyte-scale data warehouse service, there are a lot of positives to Redshift’s technologies and capabilities… but we should always consider the

Data managers and business analysts are often familiar with the term ETL, or or at least broadly aware that it stands for “Extract, Transform, Load.” A Google search of the three-letter initialism brings back nearly 44 million results, nearly all of which are related to data management. In recent years, the phrase “ELT” has cropped