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

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 86

Data Collection AWS Cloud Engineering 86

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 83

Process Kafka SQL Datasets 83

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

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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture

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

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

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

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

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

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: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

Data