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Next Year in Data Analytics: Data Quality, AI Advances, Improved Self-Service

Three interesting analytics trends to watch that could improve the use of data throughout your enterprise.

Data Digest: Data Governance, Security, and Observability

Governing data for AI and ML, understanding the scope of information security, and the value of data observability.

Data Digest: Protecting and Governing Modern Data

Looking after data privacy and data access, plus the benefits of a data protection officer.

Five Ways No-code Will Make Your Data Engineering Career Skyrocket

The no-code trend is growing dramatically, and no-code tools are the key weapon in your arsenal to set you apart from the crowd and accelerate your career.

Solving “Bad Data” -- A $3 Trillion-Per-Year Problem

Data quality is still a struggle for many enterprises, and new types of data and input techniques are adding to the burden. Jonathan Grandperrin, CEO of Mindee, explains the impact of bad data and how enterprises can use deep learning and APIs as part of their “good data” strategy.

Data Digest: Data Governance, Self-Service, and Data Quality

These articles explore modern approaches to data governance and the goals of data governance programs.

Structuring Data Initiatives for Work from Home Environments

Given the increase in remote work, we offer three measures that can improve your data initiatives.

Data Digest: Data Privacy, Data Encryption, and the Cost of Bad Data

Trends in data privacy and governance, tips for better data encryption, and how to find and fix poor data quality.

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