Blog

Engineering

When to use a data lake vs data warehouse

Enabling teams with access to high-quality data is important for business success. The way in which this data is stored impacts on cost, scalability, data availability, and more. This article breaks down the difference between data lakes and data warehouses, and provides tips on how to decide which to use for data storage.

Growth

From spreadsheet to source code: Leveraging mParticle’s Data Plan Builder

Effective data planning is critical to ensuring that the data entering an organization's internal systems is accurate, reliable, and actionable. mParticle’s Data Plan Builder is available to help both mParticle customers and prospects with the key aspects of data planning: collaboration, implementation, and continuous iteration.

Engineering

How Reverb’s engineers optimized their data workflows at scale and gave users the rockstar treatment

With mParticle at the heart of their data stack, engineers at the world’s largest online music marketplace said goodbye to burdensome ETL pipelines, slashed their data maintenance workload, and unlocked new opportunities to build data-driven features into their product.

Engineering

How to assemble a cross-functional data quality team

Smash your data silos and improve data quality across your organization by assembling a cross-functional team to own data planning.

Company

mParticle's Series E: The rise of Customer Data Infrastructure

mParticle CEO Michael Katz discusses the company's latest funding round, sharing the company's growth thus far and future trajectory.

Growth

Connected, by mParticle Episode 2: Winning the streaming wars with Danny Joseph of Discovery

In the second episode of the podcast we interview Danny Joseph, VP of Product, DTC at Discovery. Danny shares best practices around building strong customer relationships, working across the organization to build better products and much more.

Company

Announcing the Pathways Partner Program and Partner Portal

mParticle is excited to announce our new Pathways Partner Program and Partner Portal, which will allow mParticle partners to access platform enablement and certification, co-marketing initiatives, co-branded collateral creations, and opportunity referrals in a central system.

Growth

How to prepare for your Customer Data Platform implementation

Implementing a Customer Data Platform at the infrastructure layer of your tech stack can transform the way in which you work with customer data—if you do it right. This article breaks down the steps you can take to prepare for your Customer Data Platform implementation and make the most of your investment.

Engineering

What is data integrity and why does it matter for customer data?

Integrity is a good quality. Just like you want the people around you to have integrity, you also want the data on which you base strategic decisions to be of high integrity as well. That sounds good, but what does it mean for data to have integrity, and why is this so important? In this post, we’ll explore this broad and nuanced concept, define what it means in the context of customer data, and learn a strategy to ensure your customer data maintains high integrity throughout its lifecycle.

Engineering

Debug customer event collection in real time

If you are responsible for implementing data tracking plans across your apps and websites, you’re probably familiar with how tedious and time consuming it can be to track down data collection bugs when they pop up. This video walks through how you can use mParticle’s Live Stream to simplify your team’s testing and debugging cycles.

mParticle Product

Power first-party advertising with mParticle's Yahoo! integration

Yahoo! sees roughly 200b daily cross-screen data signals from search, mail, commerce, and content. With mParticle’s new integration with Yahoo!, connecting those data signals just got a lot easier.

Engineering

Everything you need to know about data integrations

Data integrations are ubiquitous throughout the SaaS ecosystem. But not all data integrations are created equal. This article walks through the different types of integrations commonly available and provides tips on how to choose the right integration types for your use cases.