Confluent

FEBRUARY 21, 2019

During a recent talk titled Hunters ATT&CKing with the Right Data , which I presented with my brother Jose Luis Rodriguez at ATT&CKcon, we talked about the importance of documenting and modeling security event logs before developing any data analytics while preparing for a threat hunting engagement. Defining relationships among Windows security event logs such as Sysmon , for example, helped us to appreciate the extra context that two or more events together can provide for a hunt.

Process 81

Process Kafka Datasets SQL 81

Rockset

FEBRUARY 21, 2019

PDFs are the de facto standard for distributing and sharing fixed-layout documents today. A quick survey of my laptop folders reveals account statements, receipts, technical papers, book chapters, and presentation slides—all PDFs. Lots of valuable information finds its way into all manner of PDF files. Which is a great reason for Rockset to support SQL queries on PDF files, in our mission to make data more usable to everyone.

SQL 52

SQL Metadata Structured Data IT 52

Teradata

FEBRUARY 19, 2019

Rob Armstrong explains that while data is important, the real key is preserving the relationships across the data models that leads to insight and successful business outcomes.

IT 40

IT Data 40

Zalando Engineering

FEBRUARY 20, 2019

End to end testing is a testing technique used to test the flow of an application through a business transaction. In microservices architecture there are different components working together to enable a business capability, therefore testing all of them can get tricky. In this article you can read about our team’s journey: What our system looks like What do you get from e2e testing?

Architecture 40

Architecture PostgreSQL Systems Database 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

Confluent

FEBRUARY 20, 2019

How many Kafka Summits should there be in a year? Experts disagree. Some say there should be one giant event where everybody gathers at once. Some say there should be one once a month in different regions of the world. Others say you should live every day like it’s Kafka Summit. As you may know, we have adopted a happy medium: three Summits in 2019.

Kafka 66

Kafka Programming Architecture Technology 66

Rockset

FEBRUARY 21, 2019

Developers often need to work with datasets without a fixed schema, like heavily nested JSON data with several deeply nested arrays and objects, mixed data types, null values, and missing fields. In addition, the shape of the data is prone to change when continuously syncing new data. Understanding the shape of a dataset is crucial to constructing complex queries for building applications or performing data science investigations.

Datasets 40

Datasets SQL Data Science Building 40

Data Engineering Podcast

FEBRUARY 18, 2019

Summary Distributed storage systems are the foundational layer of any big data stack. There are a variety of implementations which support different specialized use cases and come with associated tradeoffs. Alluxio is a distributed virtual filesystem which integrates with multiple persistent storage systems to provide a scalable, in-memory storage layer for scaling computational workloads independent of the size of your data.

Systems 100

Systems Java Media Algorithm 100

Confluent

FEBRUARY 22, 2019

The requirements for fast and reliable data pipelines are growing quickly at Deliveroo as the business continues to grow and innovate. We have delivered an event streaming platform which gives strong guarantees on data quality, using Apache Kafka ® and Protocol Buffers. Just some of the ways in which we make use of data at Deliveroo include computing optimal rider assignments to in-flight orders, making live operational decisions, personalising restaurant recommendations to users, and prioritisi

Kafka 80

Kafka Programming Language Metadata Data 80

Netflix Tech

FEBRUARY 20, 2019

by Jason Koch , with Martin Spier , Brendan Gregg , Ed Hunter Improving the tools available to our engineers to help them diagnose, triage, and work through software performance challenges in the cloud is a key goal for the cloud performance engineering team at Netflix. Today we are excited to announce latency heatmaps and improved container support for our on-host monitoring solution?

Data Collection 84

Data Collection AWS Cloud Engineering 84

Teradata

FEBRUARY 17, 2019

Larry H. Miller is using data and analytics to successfully increase customer satisfaction from a multitude of data sources and customer touchpoints.

Data 40

Data 40

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering