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Big Data News Weekly

Technology 4K Subscribers
Big Data News Weekly is a free weekly newsletter featuring curated news, articles and jobs related to Big Data, Data Science, Hadoop, AI, Machine Learning.
Description We'll place sponsor product details, webinar or article at top of the email to get good engagement. You will get a dedicated section, including a title, description, call to action, and a full-width image.
Bonus Every newsletter is also published on the website and promoted to our 14000 Twitter followers and 45000 Facebook fans.

Context. Get to know the newsletter.

Year Founded 2018
Frequency Every week on Wednesday
Social Values Corporate Social Responsibility

Categories. Guarantee results with relevant keywords.

Technology
Business & Finance
Product Development
Management & Strategy
Entrepreneurship
Marketing & Sales
Education
Digital Learning & EdTech

Performance. See the impact.

Subscribers 4,800
Opens 720
Open Rate 15%
Cost per Open (CPO) $0.83

Audience. Reach the right readers.

Gender Distribution 36% Female, 64% Male
Age Groups 25-34, 35-44, 45-54, 65+, 18-24
Top Geographies USA, Canada, UK, India, Sweden, Singapore

Jardy Protect. Advertise worry free.

Every booking includes free, guaranteed protection from newsletter cancellation, listing inaccuracies, placements with errors, and other difficulties.

Previous Advertisers. Find your competitors.

Anyscale Anyscale
AtScale AtScale
Fastbase Fastbase
DoubleCloud DoubleCloud
Big Data LDN Big Data LDN
Jumpshare Jumpshare
Mona Mona
IT Brew IT Brew
Morning Brew Morning Brew
Mission Cloud Mission Cloud
Logos provided by Clearbit

About the author. Meet the people behind the words.

newsletter author
Veer

Founder @ Big Data News Weekly

USA

The author is an experienced professional with a background in SEO, boasting a decade of expertise in the field. They have also founded and successfully managed a prominent big data news website and newsletter for the past 10 years, showcasing their deep understanding of the industry Big Data, Data science, AI/Ml, Databases, Cloud, IoT, Digital transformation, blockchain ChatGPT and etc..
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