6 Best Data Integration Tools of 2022

Data integration is the data engineering process of combining data across all the different sources in a company (CRM, SaaS apps like Salesforce, APIs, …) into a single unified view. The data integration process includes data extraction, data cleansing, data ingestion, data validation, modeling, and exposing ready-to-be-consumed data sets to other users and applications for business intelligence or data-driven activities.

How to build a self-service BI strategy

Think about the times you've wished you had more insight into your business data. Or all of the times you wished you could answer questions about your business performance without waiting for someone else to get back to you. Gone are the days when businesses rely solely on IT staff to provide reports and analytics. With self-service business intelligence (BI), users can create their own reports, dashboards, and data visualizations without relying on IT help.

Moving to Log Analytics for BigQuery export users

If you’ve already centralized your log analysis on BigQuery as your single pane of glass for logs & events…congratulations! With the introduction of Log Analytics (Public Preview), something great is now even better. It leverages BigQuery while also reducing your costs and accelerating your time to value with respect to exporting and analyzing your Google Cloud logs in BigQuery.

The Data Cloud & Public Sector With Deloitte

Welcome to Data Cloud Now, where we are dedicated to illustrating how the Data Cloud is pushing the possible forward, each and every day. In this episode we are exploring the impact it’s having within the public sector. Explore the impact the Data Cloud is having within the Public Sector with special guests Deloitte’s Monica McEwen & Frank Farrall along with Snowflake’s Jeff Frazier.

Following your local happiness gradient - Dr. Catherine Williams

This episode features an interview with Dr. Catherine Williams, Global Head of IQ at Qualtrics, an experience management software platform. Catherine has extensive background in data science and quantitative analytics. Prior to Qualtrics, Catherine served as Chief Data Scientist and Chief Data and Marketplace Officer at AppNexus and Xandr, which is part of AT&T. Catherine holds a Ph.D. in Mathematics from the University of Washington. She has also held postdoctoral fellowships at Stanford and Columbia Universities. On this episode, Catherine discusses growing a machine learning approach to unstructured data, using data to get to the “why” of customer behavior, and following your local happiness gradient.