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 100

Google Cloud Cloud Kafka MongoDB 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

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

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 Designing 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

Confluent

APRIL 10, 2019

Enterprises run modern data systems and services across multiple cloud providers, private clouds and on-prem multi-datacenter deployments. Instead of having many point-to-point connections between sites, the Confluent Platform provides an integrated event streaming architecture with frictionless data replication between sites. Applications can publish streams of data to a self-hosted on-prem cluster, replicate them to another on-prem cluster or to different cloud providers, load them into data s

Kafka 86

Kafka Metadata Java Cloud 86

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 54

Cloud AWS Metadata Data Management 54