Remove Data Warehouse Remove Kafka Remove Lambda Architecture
article thumbnail

StreamNative Brings Streaming Data To The Cloud Native Landscape With Pulsar

Data Engineering Podcast

You monitor your website to make sure that you’re the first to know when something goes wrong, but what about your data? Tidy Data is the DataOps monitoring platform that you’ve been missing. What motivates you to dedicate so much of your time and enery to Pulsar in particular, and the streaming data ecosystem in general?

Cloud 100
article thumbnail

An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. What is Real Time Data Warehousing?

article thumbnail

An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

Select Star’s data discovery platform solves that out of the box, with an automated catalog that includes lineage from where the data originated, all the way to which dashboards rely on it and who is viewing them every day.

article thumbnail

Building A Data Lake For The Database Administrator At Upsolver

Data Engineering Podcast

How does the introduction of a universal SQL layer change the staffing requirements for building and maintaining a data lake? What are the advantages of a data lake over a data warehouse if everything is being managed via SQL anyway?

Data Lake 100
article thumbnail

8 Essential Data Pipeline Design Patterns You Should Know

Monte Carlo

In this guide, we’ll explore the patterns that can help you design data pipelines that actually work. Table of Contents Common Data Pipeline Design Patterns Explained 1. Lambda Architecture Pattern 4. Kappa Architecture Pattern 5. Data Mesh Pattern 8. Batch Processing Pattern 2.

article thumbnail

Large-scale User Sequences at Pinterest

Pinterest Engineering

So our user sequence real-time indexing pipeline is composed of a Flink job that reads the relevant events as they come into our Kafka streams, fetches the desired features for each event from our feature services, and stores the enriched events into our KV store system. To explore life at Pinterest, visit our Careers page.

article thumbnail

Data Ingestion: 7 Challenges and 4 Best Practices

Monte Carlo

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Source : Fundamentals of Data Engineering by Joe Reis and Matt Housley.