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Chuck Brooks

Dr. Chuck is a Senior Data Strategist / Solution Architect. He is a technology leader and visionary in big data, data lakes, analytics, and data science. Over a career that spans more than 40 years, Dr. Chuck has developed many large data repositories based on advancing data technologies. Dr. Chuck has helped many companies become data-driven and develop comprehensive data strategies. The cloud is the modern ecosystem for data and data lakes. Dr. Chuck’s expertise lies in the Google Cloud Platform, Advanced Analytics, Big Data, SQL and NoSQL Databases, Cloud Data Management Engines, and Business Management Development technologies such as SQL, Python, Data Studio, Qlik, PowerBI, Talend, R, Data Robot, and more. The following sales enablement and data strategy results from 40 years of Dr. Chuck’s career in the data space. For more information or to engage Dr. Chuck in an engagement, contact him at chuck.brooks@perficient.com.

Blogs from this Author

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Why You Want To Use Looker Studio For Data Visualization on BigQuery

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence. BigQuery’s serverless architecture lets you use […]

Helping Knowledge Workers Be More Productive

The term “knowledge worker” was first coined by Peter Drucker in his book, The Landmarks of Tomorrow (1959). Drucker defined knowledge workers as high-level workers who analyze data and apply theoretical/analytical knowledge to develop insights, trends, products, and services. He noted that knowledge workers would be the most valuable assets of a 21st-century organization because of […]

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It’s Time To Update Your Data Lake Ingestion Strategy

If you built your data lake in the last 5-7 years, you probably are ingesting data into the data lake using many batch jobs that ingest and update data in the data lake. There is nothing wrong with what you did, but data technology has continued to move forward and in my opinion, the time […]

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Do You Have An Enterprise Data Strategy?

This time of year, I like to talk about updating the data strategy for the new year to include new business goals and new technology and in doing so I sometimes forget that there are still many companies that do not have a data strategy to update.   What is a Data Strategy and why […]

Incorta and Google Cloud: Unleashing the Power of Data in BigQuery

Incorta and Google are partnering on several initiatives around cloud computing and analytics deployments,  aimed at helping companies move business application and enterprise resource planning data into the cloud. Companies want to move data to a data lake to perform analytics and gain insights from that data. However, this can be challenging for ERP, CRM, […]

Do you Need an Operational Data Store?

I often work with organizations that have a need to move data out of their transactional operational systems to a repository in real-time. These organizations usually have a need to reduce query, reporting, and analytics loads on operational systems while increasing the real-time query and analytics applications to make better data-driven decisions.  This operational data […]

The Data Lake and Data Zones

I believe there is confusion about what a data Lake is based on a 10-year-old definition that is not accurate anymore so,  in this post, I wanted to provide some clarity of what a Data Lake is in today’s technology terms. A data lake is a centralized repository that allows you to store all your […]

Data Lake, Data Warehouse, Data Lakehouse?

I have read several articles that explain that the Data Lake, Data Warehouse, and Data Lakehouse are different repositories and that you may need several or all of them. Frankly, I don’t agree, and I thought it was time to provide a different point of view. In this post, I will explain why I believe […]

Exciting Times Ahead Or The Future

From Data Swamp to Data Lake: Data Zones

This is the final blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Read the previous blog, here.  In the first article in this series, I explained the five components necessary […]

Start Up Meeting

From Data Swamp to Data Lake: Data Classification

This is the fourth blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Read the previous blog, here.    In the first article in this series, I explained the five components […]

Teamwork Is Worth It

From Data Swamp to Data Lake: Data Quality

This is the third blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Read the previous blog, here.  In the First article in this series, I explained the five components necessary […]

From Data Swamp to Data Lake: Data Catalog

This is the second blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Read the first blog, here.    In the first article in this series, I explained the five components […]

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