Author name: Sharon Reaves

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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Trade Data Supply Chain Demystified Part 4: Real-Time Trade Data from the Nodal Exchange

General Data Flow for Futures Exchanges If you aren’t already familiar with the general plumbing for exchange futures trading, be sure to read the top section of this previous post before you get started. Glossary for Nodal Trades Over the Counter (OTC) – Direct trading between two parties. Could be executed via a broker. Clearinghouse

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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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Marketing Analytics & Data with K3 Low Code ETL Short Form Blog

The big data analytics market is growing at a rapid rate, from an estimated market size of $8.5 billion in 2017 to over $40 billion by 2023. This massive investment in digital transformation requires companies to be data smart: using data science to transform information into insight. Data analytics for digital marketing, in particular, can

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What is Data Orchestration K3

What is Data Orchestration? A How-To and Benefits Guide

The world of data management has advanced considerably in the past few years. On-site data storage is rapidly giving way to cloud solutions like Redshift and Snowflake, enabling not only more effective data movement, but entire new possibilities for optimizing operations. Data orchestration describes the process of connecting data across an increasingly complex ecosystem, building

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ETL Data Warehouse

What Is Data Warehouse ETL?

Data Warehouse ETL is a series of processes: Extract data from across an organization; Transform data for consumption; Load data to a relational or non-relational data store;    Use this data to facilitate business intelligence, reporting, analytics, data science, and other activities. Let’s Unpack This: Any time one moves data there is an exceptionally high probability

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Data Prep for Data Science K3

Data Prep for Data Science

As companies look towards data science and its future, the focus is increasingly on big data use cases. Even small to mid-sized companies generate massive amounts of data compared to just a few years ago, highlighting the importance of being data smart: using data science to transform information into insight. Broadpeak Partners helps companies improve

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K3 Versus Matillion

K3 Versus Matillion

When it comes to enterprise data transformation, businesses have a number of options for cloud-based data management services. One provider, Matillion, has offered ETL and data warehousing tools since 2011—yet how do their services stack up when compared to K3 ETL? Let’s take a deeper dive into the similarities and differences between these two platforms

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