Michael Roker Data Analytics ๐Ÿ“Š (@michaelroker) 's Twitter Profile
Michael Roker Data Analytics ๐Ÿ“Š

@michaelroker

Helping others to learn | Udacity Mentor | Data Analyst at Cable Bahamas | Daily tweets on Data | Feel free to DM me!

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calendar_today29-06-2021 14:44:02

433 Tweet

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Michael Roker Data Analytics ๐Ÿ“Š (@michaelroker) 's Twitter Profile Photo

As a data analyst, youโ€™d think most of my time is spent analyzing data. The reality? Most of it goes into cleaning data. The solution? A well-built data pipeline. Good pipelines = clean, ready-to-use data = more time for real insights. Invest in your pipelines. Itโ€™s worth it.

Michael Roker Data Analytics ๐Ÿ“Š (@michaelroker) 's Twitter Profile Photo

Most businesses think they have a data problem. What they really have is a data process problem. Without clean, accessible data, even the best toolsโ€”Tableau, PowerBI, or Excelโ€”will fail to deliver results. Focus on fixing the process, not just the tools.

Michael Roker Data Analytics ๐Ÿ“Š (@michaelroker) 's Twitter Profile Photo

Pretty dashboards are great โ€” they should be visually appealing. But if they arenโ€™t helping your team make better decisions, whatโ€™s the point? A good dashboard doesnโ€™t just look good. It drives action. It answers real business questions. Are your dashboards helping your team

Michael Roker Data Analytics ๐Ÿ“Š (@michaelroker) 's Twitter Profile Photo

Dumping your data into S3 doesnโ€™t make it a data lake. A real data lake has: - โœ… A catalog (what's in there) - โœ… Permissions (who can access what) - โœ… Structure (partitioning, schema) - โœ… Query tools (Athena, Redshift, etc) Without these you just have expensive storage.