Deriving insights from data

Data drives competitive advantage

Forget the technology, this is critical to derive value from data.

Collecting data, cleaning it up, deriving insight & visualizing data

Keeping ourselves out of trouble & adhering to regulations

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Welcome

The insights that can be derived from data are fascinating. We can profile customers; understand risk; forecast business performance and pre-empt system failures. To extract the maximum value at the lowest cost, you need excellent data engineering capabilities at your company. Kodey was created by a Big Data engineer with experience in Python, Spark, SQL, Hive, Hadoop, MongoDB and other data technologies.

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Latest Posts

Kodey Technical Articles

The below posts are designed to help our readers further understand some of the key big data technologies and governance / regulatory issues surrounding the management of customer data.

Governance
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Data Architecture

One of the key parts of data governance is data architecture. Architecture is all about how data is tracked and made use of in an

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Governance
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Types of Attack

Before we get into the technical solutions that can help protect against security breaches, let’s talk about the most common types of hacking. Once we

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Governance
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Laws & Regulation

Data protection laws are put in place to protect the data subject, which is the person that the data is about. For example, if we

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Take a look at our code samples

python, Spark, Machine Learning and Django code samples