Category: big data consulting

data strategy cost reduction

Reducing Data Analytics Costs In 2023 – Doing More With Less

If you haven’t started looking for ways to improve your data analytics budget for 2023, then you’re probably already behind. The truth is that between all of the various economic indicators and investor letters, everyone is looking to improve audit all parts of their business. Especially where there has likely been bloat. One of those…
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December 11, 2022 3
big data consulting

What Is Shadow IT?

At my very first job in data, I was an analyst on a finance team. I was working with a senior engineer who had built out several new automated processes and was managing a data warehouse and several other applications. We were supporting 4-5 financial analysts who were relying on our data to report to…
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November 29, 2022 0
data security consulting

Security And Privacy In The Modern Data World

If you’ve worked as a DBA or data engineer, then you’ve likely had to deal with data access requests. These basic data requests can go from quick requests to endless data access requests that bog down entire data teams. This has been heavily driven by the fact that companies want to be data-driven. Meaning an…
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October 29, 2022 0

What Is Data Governance

Photo by Christopher Gower on Unsplash By Reseun  McClendon Data Governance is the set of principles and procedures an organization uses to manage data during its life cycle. More specifically, data governance encompasses all that is done to ensure data is private, secure, accurate, available, and usable. The data life cycle may include the data’s acquisition, use, and disposal…
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September 24, 2022 0
databricks consulting

What Is Databricks?

Databricks is a company that aims to make managing big data easy. By utilizing Apache Spark as its core processing engine, Databricks aims to make managing and processing big data easy. As one of the leading providers of big data solutions, Databricks has made a name for itself in the industry. What is Databricks? So,…
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July 9, 2022 0
Modern data stack consulting

Why Are We Still Struggling To Answer How Many Active Customers We Have?

“Why do we still struggle to answer basic questions like how many customers are still active or what exactly is the company’s churn?” This was a question posed to a panel I was sitting on at the Snowflake Summit. Several panelists provided different answers and all come from very different perspectives. Truth be told I…
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June 25, 2022 0
data consulting strategy

20 Questions You Need To Ask About Your Data Analytics Strategy In 2022

Photo by Maarten van den Heuvel on Unsplash There are plenty of cliches about data and its likeness to oil or companies being data-driven. Is there truth to all this hype about data strategy, predictive modeling, data visualization, and machine learning? In our experience, these cliches are true. In the past few years, we have already helped several…
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May 1, 2022 0
data engineering consulting

Scaling Airflow – Astronomer Vs Cloud Composer Vs Managed Workflows For Apache Airflow

Over the last 3 months, I have taken on two different migrations that involved taking companies from manually managing Airflow VMs to going over to using Cloud Composer and MWAA (Managed Workflows For Apache Airflow).   These are two great options when it comes to starting your first Airflow project. They help reduce a lot of issues…
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November 21, 2021 0
fivetran consulting

5 Fivetran Use Cases – Examples Of How Companies Are Implementing Fivetran Into Their Modern Data Stack

gBig data is the new commodity that companies need to drive the business forward. Having access to all your companies data sets used to be limited to large companies that could afford a whole team of data engineers and software developers. But this is no longer the case. Traditionally you would need to have a…
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October 31, 2021 0
Modern data stack consulting

Why Migrate To The Modern Data Stack And Where To Start

Photo by Leohoho on Unsplash Migrating to the modern data stack means poising your organization to meet the varying demands of modern data. The modern data stack seeks to overcome the problems and challenges associated with modern data while enabling an organization to innovate and automate like never before. As more organizations migrate to the modern…
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October 23, 2021 0