4.3 million US workers quit their jobs in August. Is that big? Well if that trend continued we will lose 30% of the workforce in a year. It’s a head-scratching headline that really deserves a moment to think about. Sadly, none of us has the time to do so, because we are just too busy. […]
With Boomers Stepping Out, Are Demographics Driving Our Technology Destiny? Read More »
UnaVista LSEG announced that they are halting operations for SFTR reporting. This means that SFTR reporting customers will have to on-board with another trade repository (TR). This is another major blow to the trade repository landscape. CME decided to leave the UK and EU landscape entirely in 2020. And it was not for lack of
The Trade Repository Landscape Takes Another Hit Read More »
“Play stupid games. Win stupid prizes.” Trade surveillance is not child’s play as demonstrated in the recent conviction of two Deutsche Bank commodity traders who were indicted, convicted and now sentenced to a year and a day in prison. The felonious conduct? Spoofing. What is spoofing? Explain it to me like I am new to
K3 Trade Surveillance: Spoofing For Jail Time Read More »
The Major Differences Between Alteryx and K3 Let’s see how Alteryx stacks up against K3 when it comes to key functionality. Expertise Required: Anyone who needs to access and analyze data can use K3, thanks to its low-code environment. Alteryx requires coding expertise and is best-suited as a “single-seat tool used by a ‘Top Technical
Which is better – Alteryx or K3? Read More »
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
Comparing Matillion ETL Integration to K3 ETL Data Prep & Integration Read More »
Data Integrity, Part 2: Do You Validate? Back in part 1, we noted the three integral tasks involved in maintaining data integrity. That earlier post dealt with duplication control. A later series will be all about data orchestration. Today, let’s discuss data validation. This is more than just auditing the correctness and completeness of the
Part 2: Solving Problems Associated with Data Integration for Legacy Apps Read More »
Everyone knows you will never get anywhere in business without integrity and the right connections. Turns out, this is true in data extraction, transformation, and loading (ETL), as well. Data integrity – how accurate, comprehensive, and consistent your data inputs and outputs are – has a direct bearing on how accurate your forecasting and planning
Data Integrity, Part 1: Don’t Get Duped Read More »
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
3 Considerations When Preparing Data Using ETL for Snowflake and Redshift Read More »
Data blending, or the process of combining data sets, is a staple of data prep. As we’ve previously discussed, low code data blending allows non-technical analysts to combine data sets without using SQL or other coding to, creating new efficiency in a process that used to be handled exclusively by IT. Yet there are key
Why You Should Not Do Data Blending on Your Desktop Read More »
The Major Differences between Tibco ETL and K3 ETL Is your organization considering an ETL solution for its data needs? Here is a high-level comparison of the Tibco ETL and K3 ETL platforms to determine which option is a better fit. Ease of use: Tibco requires basic IT and coding knowledge; K3 visualizes and normalizes
Which is better – TIBCO Cloud Integration or K3 ETL Data Prep & Integration? Read More »
Sharp Contrast Between K3 and Axway K3’s suite of tools, connectors, and integrations give users more options: K3’s low-code structure removes potential bottlenecks in data analysis by removing the dependency on IT specialists to perform ETL functions. Axway operates in a high-code, high-learning-curve environment. Axway focuses on older file-structured technology. K3 offers an updated approach
K3 vs. Axway: Which is Better? Read More »
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
Data Integration 2021 Read More »
When you’re working with two or more data sets, you can likely gather more insights by combining them for analysis or visualization. This is particularly advantageous as the sources, locations and types of data increase with your business needs. The process of taking multiple data sets and combining them into one is known as data
What Is Data Blending? Read More »
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
Pros and Cons of Using Redshift in Enterprise IT Read More »
Why Choose K3 Low-Code ETL for Data Orchestration AWS Redshift 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
Why Choose K3’s Low Code ETL for AWS Redshift Data Orchestration? Read More »
Key Differences Between Talend and K3 K3’s suite of tools, connectors, and integrations give users more options: Let’s take a look at which platform is better: Talend or K3? Ease of use: K3 is extremely low code and easy to use, while Talend’s UI was built with experienced engineers in mind. Talend is expensive with
K3 ETL Data Prep & Integration vs Talend: Overview and Comparison Read More »
Data blending allows users to get more analysis done in less time. Moreover, data blending in Tableau can empower teams to visualize said data to unlock better insights for business intelligence. Yet the efficiency of these systems can be stymied by slowdowns in processing, whether it’s due to poor data orchestration or, oftentimes, delays in
Making Tableau Faster Using Data Orchestration Read More »
What is the Data Orchestration Process? Organizations’ appetite for data never seems to be satisfied. Over the last few years, however, companies’ eyes have grown larger than their stomachs. They spend inordinate time in the kitchen preparing their own data and excessive money on sustenance from gourmet data “chefs.” Meanwhile, their ability to digest all
What Is the Data Orchestration Process? Read More »
In a previous blog post, we discussed how data blending works with low-code K3 tools. We’ve also covered the larger topic of data orchestration and its role in modern business enterprises. Now let’s look at how both processes work together to create long-term, sustainable data hygiene for businesses. Data Blending & Orchestration: A Primer Let’s
How Data Blending Relates to Data Orchestration Read More »
Major Differences Between Boomi and K3 Major Differences Between Boomi and K3 Overall, which is better — Boomi iPaaS or K3 ETL? Let’s do a high-level comparison to find out. Ease of use: K3 is a low-code environment; Boomi may require some coding skills. Scalability: Boomi’s tiered pricing structure makes it difficult to predict total
K3 ETL Data Prep & Integration vs Boomi IPaaS: Overview and Comparison Read More »
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