Why you should replace your analytics tracking code with a Customer Data Platform
Analytics tracking tools have become the standard for collecting user events and understand engagement. But in a rapidly evolving market environment, sometimes "standard" isn't enough. Learn more about how you can upgrade your data pipeline with a Customer Data Platform.
Why real-time data processing matters
Business-critical systems shouldn't depend on slow data pipelines. Learn more about real-time data processing and how implementing it strategically can increase efficiency and accelerate growth.
How to harness the power of a CDP for machine learning: Part 3
Learn how you can activate machine learning insights across analytics and customer engagement platforms in part three of this three-part series.
How to harness the power of a CDP for machine learning: Part 2
Get a step-by-step guide to activating ML insights with mParticle and Amazon Personalize in part two of this three-part series.
How to harness a CDP for machine learning: Part 1
Learn how an infrastructural Customer Data Platform can help you overcome common machine learning challenges in part one of this three-part series.
Generate in-warehouse predictive audiences
Learn how Jayant Subramanian, data science intern, developed a proof-of-concept machine learning pipeline for predicting user behaviors from data pre-processing to model training and beyond using Snowflake and Apache Airflow.
Melissa Benua on CI/CD and Quality Engineering
Melissa Benua, Engineering Manager of mParticle dives into Continuous Integration / Continuous Delivery and discusses some industry best practices and why Quality is going to become everyone's responsibility.
Connect your Looker Data Actions to mParticle
Take action on your Looker insights by connecting data to mParticle with Looker Data Actions.
Data is a team sport: Q4 feature announcements
Bad news for the rogue product manager, the lone wolf data scientist, the intransigent head of infosec, and the obstinate engineering manager: Data is a team sport. Learn about the forthcoming releases designed to help your whole team do more with more of your data.
Real-time event processing with Kafka
Learn how mParticle's Kafka integration can help you stream customer data to systems and applications with event data forwarding, advanced filtering and compliance, distributed event notification, and event sourcing.
Load data to Snowflake data warehouse
Learn how mParticle's Snowflake integration can help you warehouse your customer data more efficiently and securely at scale with automated data exports, advanced filtering and compliance, and easier querying.
mParticle launches Data Master to help users improve data quality
In this post, Destination CRM notes the launch of mParticle's Data Master, which is intended to help users audit their respective data pipeline.
Top Marketing Technologists to Watch in 2019?
Nominate a marketing technologist for our upcoming report, "19 Marketing Technologists to Watch in 2019."
Beet TV: mParticle’s Katz on unifying data
mParticle CEO & Cofounder Michael Katz explains how a CDP can help brands break through the challenges associated with multi-touchpoint data ingestion and disconnected data systems by creating interoperability between all of the systems that they are using across the business.
How to plan your integrated data layer
Learn how to develop an integrated data layer that aligns with your business and techical goals and provides you with a centralized source of clean customer data.
The Customer Data Platform vendor landscape
The customer data platform vendor landscape is confusing, but can be segmented along three dimensions: business model, data sources, and customer type. This post explains each one, so you can separate signal from noise and identify the right CDP for your business.
Validity: The fifth V of Big Data
The Four V's of Big Data have been an industry standard since their introduction, but the increasing concerns about privacy recently have led to the need of a fifth V: Validity.
Power your mobile financial services strategy
With the rise of mobile financial services, traditional financial companies have to change the way they approach modern customers or face failure.
ScyllaDB Migration: How to design high throughput and low latency NoSQL deployments
Yuan Ren, Head of Data Science at mParticle, discusses our ScyllaDB migration and how to process 50 billion monthly messages via NoSQL deployments.
Hyperloglog Algorithm: A must-know for data scientists
Hyperloglog (HLL), a powerful streaming algorithm, helps mParticle deliver real-time analytics products. Learn why it's a must-know for data scientists.