article thumbnail

CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

Created in 2006, Snapshot was the first CRM management solution designed specifically for Salesforce and was one of the first Apps to be offered on the Salesforce AppExchange. Once you have accounted for all the CRM’s data, and metadata type, administrators will then need to take a comprehensive snapshot of the account,” added Mercer.

Big Data 132
article thumbnail

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. Cloud gets introduced: Amazon AWS launched in public beta in 2006.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Analyze Amazon S3 storage costs using AWS Cost and Usage Reports, Amazon S3 Inventory, and Amazon Athena

AWS Big Data

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. Enable the Cost and Usage Reports. Run queries in Athena.

article thumbnail

Data Science, Past & Future

Domino Data Lab

If you look into the middle bucket, they have three things that they report in common. Now, working down to the mature part of this, they report two things in common. What do they report in common? Then in 2006, they told me to go look at a website and sign up for a thing. You know what? and that gap is widening.

article thumbnail

AWS re:Invent Recap: The Future of Cloud

Alation

It’s only been 15 years since AWS took the first steps to the cloud with S3 and EC2, which launched in 2006. Learn more about the role of machine learning in metadata management in the report, Forrester Wave: Machine Learning Data Catalogs. This concept has proven revolutionary. Be sure to catch us next year!

article thumbnail

What’s the Difference: Quantitative vs Qualitative Data

Alation

Academic Quantitative Analysis represents the next chapter in zip code analysis; this form of analysis focuses on the interplay between variables after they have been operationalized, allowing the analyst to study and measure outcomes ( Quantitative and statistical research methods: from hypothesis to results , Bridgmon & Martin, 2006.).