Perspective

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BizTalk Data Integration vs K3 ETL Data Prep & Integration: Which is better?

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 […]

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Part 2 of 2 : Solving ELT Framework Challenges with No-Code K3 ETL

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

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K3 ETL Data Prep & Integration vs Fivetran ELT Tool: Which is Better?

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

K3 ETL Data Prep & Integration vs Fivetran ELT Tool: Which is Better? Read More »

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HVR Data Replication vs K3 ETL Data Prep & Integration: Which is better?

The Major Differences between HVR and K3 ETL Is your organization considering a data solution? Here is a high-level comparison of the HVR and K3 ETL platforms to determine which option is a better fit. Ease of use: HVR requires some expert-level coding knowledge; K3 visualizes and normalizes data with no coding required. Scalability: HVR

HVR Data Replication vs K3 ETL Data Prep & Integration: Which is better? Read More »

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Which is better – MuleSoft ETL Integration or K3 ETL Data Prep & Integration?

The Major Differences Between Mulesoft and K3 Let’s do a high-level comparison of the Mulesoft and K3 platforms to see which is better overall. Ease of use: K3 is super low code, Mulesoft requires extensive coding knowledge. Mulesoft is expensive to scale:  The number one complaint for Mulesoft users is that it’s very expensive to

Which is better – MuleSoft ETL Integration or K3 ETL Data Prep & Integration? Read More »

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Which is better – SSIS ETL Integration or K3 ETL Data Prep & Integration?

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

Which is better – SSIS ETL Integration or K3 ETL Data Prep & Integration? Read More »

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The Dodd-Frank Limits Gotcha

Dodd-Frank step down limits went live for the core products on March 15. The rest go live first of the New Year.  On the first limits rule read, many of us came away thinking it is pretty much a kitten. On the surface there wasn’t anything earth shattering.  On closer inspection there was one real

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Pros and Cons of Using Snowflake Data Cloud in Enterprise IT

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

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SSIS (SQL Server Integration Services) Pros, Cons, and Fragility

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

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Pros and Cons of Using Redshift in Enterprise IT

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

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What Are The Three Main Goals of Data Lifecycle Management (DLM)?

De-Silo Your Data Organization 90% of the world’s data has been produced within the past two years. For businesses, this data is scattered across departments and different types of storage facilities, including data lakes and data warehouses. Business leaders must collect this data into a centralized location, where the information can be used for analysis

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The Death of SOA – Perspective on Modern Data Accessibility Models

There’s no question that Service-Oriented Architecture (SOA) changed the paradigm of software design and data integration when the term was first coined. With SOA, architecture in software services became less monolithic, allowing for service sharing in a more interoperable environment, while each component worked independently. Yet SOA as an idea first emerged in the 20th-century—what

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MongoDB Introduction and Guide

When it comes to data management, open source and highly-scalable databases take the cake, particularly when using K3 data integration solutions. Among the most popular of these databases is MongoDB, which is perhaps the most famous of the NoSQL databases, allowing you to store and process structured and semi-structured data with ease. What is the

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