Start Data Engineering

JULY 11, 2020

Intro A very common use case in data engineering is to build a ETL system for a data warehouse, to have data loaded in from multiple separate databases to enable data analysts/scientists to be able to run queries on this data, since the source databases are used by your applications and we do not want these analytic queries to affect our application performance and the source data is disconnected as shown below.

Systems 130

Systems Designing ETL System Data Warehouse 130

Confluent

JULY 15, 2020

With billions of Internet of Things (IoT) devices, achieving real-time interoperability has become a major challenge. Together, Confluent, Waterstream, and MQTT are accelerating Industry 4.0 with new Industrial IoT (IIoT) […].

Kafka 139

Kafka Cloud Programming 139

Data Engineering Podcast

JULY 13, 2020

Summary The first stage of every data pipeline is extracting the information from source systems. There are a number of platforms for managing data integration, but there is a notable lack of a robust and easy to use open source option. The Meltano project is aiming to provide a solution to that situation. In this episode, project lead Douwe Maan shares the history of how Meltano got started, the motivation for the recent shift in focus, and how it is implemented.

Data Integration 100

Data Integration Data Engineering Data Engineer Data 100

Teradata

JULY 14, 2020

The days are gone when defining a user experience was limited to the choice of designers. Now data plays a more important role in the design process than ever before.

Designing 95

Designing Data Process 95

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Netflix Tech

JULY 17, 2020

The cloud-based platform allows vendors, artists and creators to connect and collaborate on visual effects (VFX) from anywhere in the… Continue reading on Netflix TechBlog ».

Cloud 75

Cloud 75

Confluent

JULY 17, 2020

The first-ever virtual Kafka Summit 2020 kicks off next month in the comfort of your home office, couch, spare bedroom, living room, outbuilding, lanai, veranda, or in-home portico, featuring an […].

Kafka 137

Kafka 137

Teradata

JULY 13, 2020

Data Warehouse, Data Lake, Data Mesh, Data.What? If you are confused by the proliferation of these IT terms, allow us to shed some light.

IT 69

IT Data Lake Data Warehouse Data 69

Rock the JVM

JULY 11, 2020

Explore Akka Streams' powerful Graph DSL and learn how to get started quickly with our easy guide

52

52

Confluent

JULY 16, 2020

Apache Kafka® is a distributed commit log, commonly used as a multi-tenant data hub to connect diverse source systems and sink systems. Source systems can be systems or records, operational […].

Kafka 71

Kafka Transportation Systems Data 71

Rockset

JULY 14, 2020

StoryFire is a social platform for content creators to share and monetize their stories and videos. Using Rockset to index data from their transactional MongoDB system , StoryFire powers complex aggregation and join queries for their social and leaderboard features. By moving read-intensive services off MongoDB to Rockset, StoryFire is able to solve two hard challenges: performance and scale.

MongoDB 52

MongoDB NoSQL SQL Architecture 52

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data

Teradata

JULY 15, 2020

Teradata data scientists utilized Teradata technologies to develop models to accurately project the number of COVID-19 confirmations and deaths. Learn more.

Utilities 59

Utilities Technology Project Data 59

Zalando Engineering

JULY 16, 2020

The following guidelines and tricks help me with task management, time management, planning & prioritization, reacting to ad-hoc situations, and the sense of not having accomplished anything during the day. There is some overlap with our Remote Work Guidelines 1. My meta-advice for applying anything from this article: start with one improvement, don’t try it all at once.

Process 40

Process Management Systems Project 40

Preset

JULY 13, 2020

Funnels are a very popular mental model for understanding data. Learn the pros and cons of different funnel data visualizations using Apache Superset.

Data 40

Data 40

Teradata

JULY 16, 2020

Get step-by-step instructions to set up Teradata Vantage and author AWS Glue Streaming ETL jobs to stream data into Vantage from Amazon Kinesis and visualize the data.

AWS 52

AWS Data 52

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

Manufacturing

Zalando Engineering

JULY 14, 2020

Challenges with our Tech Radar The Zalando Tech Radar is modelled after the Thoughtworks Technology Radar and includes a ring-based scoring for a certain technology/framework along with supplementary information about pros, cons, restrictions, usage, and lessons learned at Zalando available as a knowledge base for our teams. Since publishing, the approach and visualization engine has been used by others and also showcased at conferences as an example of how tech companies manage their technology

Technology 40

Technology Process Programming Language Programming 40