Confluent

APRIL 11, 2019

At Confluent, we see many of our customers are on AWS, and we’ve noticed that Amazon S3 plays a particularly significant role in AWS-based architectures. Unless a use case actively requires a specific database, companies use S3 for storage and process the data with Amazon Elastic MapReduce (EMR) or Amazon Athena. But even if a use case requires a specific database such as Amazon Redshift, data will still land to S3 first and only then load to Redshift.

Kafka 110

Kafka AWS Metadata Architecture 110

Data Engineering Podcast

APRIL 7, 2019

Summary How much time do you spend maintaining your data pipeline? How much end user value does that provide? Raghu Murthy founded DataCoral as a way to abstract the low level details of ETL so that you can focus on the actual problem that you are trying to solve. In this episode he explains his motivation for building the DataCoral platform, how it is leveraging serverless computing, the challenges of delivering software as a service to customer environments, and the architecture that he has de

Data Pipeline 100

Data Pipeline Pipeline-centric Database-centric AWS 100

Teradata

APRIL 9, 2019

Chris Twogood explains while large companies who utilize data need Pervasive Data Intelligence in order to leverage all of their data, all of the time.

Utilities 74

Utilities Data 74

Cloudera

APRIL 9, 2019

Enterprises are moving to the cloud. In 2016, 60.9% of application workloads were still on-premises in enterprise data centers; by the end of 2017, less than half (47.2%) were on-premises. Enterprises plan to implement new apps primarily in the cloud while migrating 20.7% of existing apps to public cloud. Despite this trend to move to cloud, It will be rare for enterprises to deploy 100% of their apps in the cloud, let alone deploy all apps to a single cloud.

Cloud 57

Cloud AWS Metadata Data Management 57

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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

Confluent

APRIL 9, 2019

I’m excited to announce that we’re partnering with Google Cloud to make Confluent Cloud, our fully managed offering of Apache Kafka ® , available as a native offering on Google Cloud Platform (GCP). This means you will have the ability to use Confluent Cloud’s managed Apache Kafka service with familiar Google tools and processes, including integration into the Google Cloud Console and GCP Marketplace to provide a seamless sign-up experience, and integrated billing and first-line support provided

Google Cloud 101

Google Cloud Kafka Cloud MongoDB 101

Zalando Engineering

APRIL 10, 2019

Black Friday is the busiest day of the year for us, with over 4,200 orders per minute during the event in 2018. We need to make sure we’re technically able to handle the huge influx of customers. As a part of our preparations we ask all of our teams to perform load tests to ensure their individual components will handle the expected load. In addition, and due to the distributed nature of our system's architecture , we also need to ensure it will handle the expected load once all components have

Python 40

Python Project Systems Engineering 40