Welcome to the BryteFlow Blog

Oracle to Amazon S3 – how to refresh continuously

Organisations that have been around long enough would have volumes of transaction data collected and stored in Oracle databases over…

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Join BryteFlow at the AWS Public Sector Summit Canberra

We’re delighted to be a sponsor of the AWS Public Sector Summit in  Canberra. Join us to see how BryteFlow…

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High quality data for high quality insights

Cast your mind back to your childhood years when you played the Telephone Game when each child whispered a phrase…

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10 reasons why Data Analytics projects fail

Thinking of investing in data analytics? Successful data analytics projects are the holy grail of businesses globally for the actionable…

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Kick Amazon Redshift into high gear with Distributed Data Preparation

ETL and ELT just cannot keep up with your growing data. So what is the way forward? If you have…

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Why Machine Learning models need Schema-on-Read

Schema-on-Read Vs Schema-on-Write Databases have employed a Schema-on-Write paradigm for decades, that is, the schema/structure is first defined up front…

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Why Hadoop Data Lakes are not the modern architect’s choice

Data Lakes are used to store all the raw data from all enterprise systems, so that access is enabled easily.…

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Data to Dashboard in minutes!

If you are facing data challenges, get in touch, we can help.

If you are stuck with siloed data that is a pain to extract and load, if data queries seem to take forever, speak to us. We have been troubleshooters to many top global companies
and we would love to help.