Data loss is a common problem that many people face. The average data loss in incident at the corporate level costs $5.4 million. These costs might be lower for smaller businesses, but the consequences can be even higher, considering that they have more limited budgets. The good news is that big data technology has made […]
Article: Stream Processing Anomaly Detection Using Yurita Framework
In this article, author Guy Gerson discusses the stream processing anomaly detection framework they developed by PayPal, called Yurita. The framework is based on Spark Structured Streaming. By Guy Gerson
Amazon Personalize Is Now Generally Available, Bringing ML to Customers
After the first announcement of Amazon Personalize during AWS re:Invent last November, the service is now generally available for all AWS customers. With this service, developers can add custom machine learning models to their application, including ones for personalized product recommendations, search results and direct marketing, even if they don’t have much machine learning experience. […]
Presentation: Apache Metron in the Real World – Big Data and Cybersecurity, a Perfect Match
Dave Russell takes a look at a number of different organizations who are on their big data cybersecurity journey with Apache Metron, covering different use cases they are investigating, the data sources they used, the analytics they performed and in some cases the results they were able to find. By Dave Russell
Los Angeles CTO Roundtable about AI and Data
The recent “Leaders in Data CTO Roundtable” in Los Angeles included discussions about an artificial intelligence (AI) framework/platform for business, data in the next five years, data software stacks, and acquiring data talent. By Aslan Brooke
Sign In with Apple Touts Single Sign-On without Sharing Your Data
At the recent WWDC 2019, Apple announced its own Single Sign-On (SS) service, dubbed Sign in with Apple. Deemed “Apple’s most significant new innovation” by Time, Sign in with Apple promises not to share any personal user data, including email addresses. By Sergio De Simone
Presentation: Petastorm: A Light-Weight Approach to Building ML Pipelines
Yevgeni Litvin describes how Petastorm facilitates tighter integration between Big Data and Deep Learning worlds; simplifies data management and data pipelines; and speeds up model experimentation. By Yevgeni Litvin
Presentation: People You May Know: Fast Recommendations over Massive Data
Sumit Rangwala, Felix GV present the evolution of PYMK’s (People You May Knpw) architecture, focusing on Gaia, a real-time graph computing capability and Venice, an online feature store with scoring capability. By Sumit Rangwala, Felix GV
These Top 3 Email Metrics Tools Are Made Possible By Big Data Analytics
Big data is changing the nature of email marketing. Although data analytics has played a vital role in split-testing campaign variables, there are other benefits as well. One way that big data is helping in email marketing is improving team collaboration. New tools have made it easier for teams to coordinate with each other on […]
Big Data Gives Us New Insights Into Influencer Reach
Influencers are rapidly transforming the digital marketing landscape. Nearly two out of five plan to increase their influencer marketing budgets substantially in the coming year. Only 7% of respondents in a recent poll spent less than $10,000 on influencer marketing. However, many brands are still struggling to cultivate their ideal influencer marketing strategy. The savviest […]