SQL (standard query language) is a powerful domain-specific coding protocol that is used to manage or stream-process data within a relational database management system. It is the gold standard of programming languages and widely used among developers for its ability to manage data in different types of environments where diverse information relationships exist. There is […]
The Challenges of SQL ETL Read More »
We’ve all been to this movie. Luke Skywalker and company find themselves in an Imperial garbage disposal unit. You know the scene: Leia in a white dress; Han and Luke in white stormtrooper armor. Then the walls start closing in. We’ve all seen it. It is possibly one of the most iconic scenes in cinematic
Business Response Architecture Part 2 of 2: Here is the Elephant in Your IT Department Read More »
The Major Differences between Stitch ETL and K3 ETL Is your organization considering an ETL solution for its data needs? Here is a high-level comparison of the Stitch ETL and K3 ETL platforms to determine which option is a better fit. Ease of use: Stitch ETL is a higher-code environment; K3 visualizes and normalizes data
Which is better – Stitch ETL Data Loader or K3 ETL Data Prep & Integration? Read More »
Modern business intelligence tools have made it easier than ever to visualize your data. It’s night and day compared to the olden days of OLAP cubes. So now that the technology is far more democratized, what would you guess is blocking you from getting to a real data breakthrough? Getting the data. That is still
Business Response Architecture Part 1 of 2: When Your Data Viz Is On Fire Read More »
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
The Importance of Establishing an ETL Architecture Read More »
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
K3 Takes on Informatica Read More »
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
BizTalk Data Integration vs K3 ETL Data Prep & Integration: Which is better? Read More »
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
Part 2 of 2 : Solving ELT Framework Challenges with No-Code K3 ETL Read More »
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 »
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 »
General Data Flow for Futures Exchanges By this point in the series you should be quite familiar with this diagram of the general data supply chain for futures and options trading: Recap: A trader submits buy/sell orders into the exchange. These orders match with opposing orders to create a trade. Trade data is then sent
Trade Data Supply Chain Demystified Part 5: Free Your Data Read More »
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 »
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 »
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
The Dodd-Frank Limits Gotcha Read More »
Alooma and K3: Comparative Overview Let’s see how Alooma matches up against K3 when it comes to key ETL workflow. Deployment: K3 seamlessly integrates data across ETL platforms, data sources, deployment scenarios, and data storage platforms. looma limits users to hosted-cloud deployment and the Google data environment. Data Load: As primarily a data pipeline service,
K3 vs Alooma: Which Has the Upper Hand in ETL? Read More »
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,
How to Use Change Data Capture for Database Replication Read More »
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
Pros and Cons of Using Snowflake Data Cloud in Enterprise IT Read More »
SBSR is coming. Securities swaps are about to be reportable to the SEC. There is just no stopping it now. Archegos pretty much guarantees SBSR as an administrative priority. So what is SBSR SEC Reporting? SBSR is “Securities Based Swaps Reporting.” It’s a final remnant of the Dodd-Frank legislation. Remember the 2007 financial collapse? Well,
All You Need to Know about SBSR SEC Reporting Read More »
K3 Takes Xplenty to the Mat Enterprise-scale data-dependent organizations will prefer K3 to Xplenty for several reasons: Flexibility – Xplenty can be deployed via a hosted cloud. K3 is comfortable working on hosted or private clouds and on-premises environments and flows data seamlessly to and from platforms living in either space. Error handling – Xplenty’s
Xplenty vs. K3: ETL software comparison Read More »
Up until recently, the decision of whether to transform data before or while loading it into a data warehouse was simple. If your main concern was data staging and processing, you went with ETL (extract, transform, load). If your organization prioritized data accessibility and storage, you chose ELT (extract, load, transform) you opted for an
ELT versus ETL for Data Flows Into Snowflake Read More »
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