Start Data Engineering

APRIL 24, 2020

In this article we aim to go over the reasoning behind why someone might want to use dbt. If you are interested in learning dbt checkout this article.

Building 130

Building SQL Data Data Engineering 130

Confluent

APRIL 21, 2020

Confluent Raises $250M and Kicks Off Project Metamorphosis It’s an exciting day for Confluent, in the middle of a very unusual and difficult time in the larger world. Nonetheless, I […].

Project 142

Project 142

Data Engineering Podcast

APRIL 19, 2020

Summary Modern applications frequently require access to real-time data, but building and maintaining the systems that make that possible is a complex and time consuming endeavor. Eventador is a managed platform designed to let you focus on using the data that you collect, without worrying about how to make it reliable. In this episode Eventador Founder and CEO Kenny Gorman describes how the platform is architected, the challenges inherent to managing reliable streams of data, the simplicity off

Building 100

Building PostgreSQL MongoDB SQL 100

Netflix Tech

APRIL 20, 2020

How Netflix brings safer and faster streaming experience to the living room on crowded networks using TLS 1.3 By Sekwon Choi At Netflix, we are obsessed with the best streaming experiences. We want playback to start instantly and to never stop unexpectedly in any network environment. We are also committed to protecting users’ privacy and service security without sacrificing any part of the playback experience.

Electronics 95

Electronics Transportation Media Algorithm 95

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Teradata

APRIL 22, 2020

In light of COVID-19's massive disruption of our global economy and daily lives, it is more important than ever to enable fully digital and data-driven supply chains.

IT 90

IT Data 90

Confluent

APRIL 24, 2020

We are pleased to announce the release of Confluent Platform 5.5. With this release, Confluent makes event streaming more broadly accessible to developers of all backgrounds, enhancing three categories of […].

Accessible 118

Accessible Accessibility 118

U-Next

APRIL 22, 2020

Is your HR department failing to embrace the digital transformation (especially AI) revolution? If so, you are not alone. Human resources departments are notorious for lagging behind in adopting new technologies. It comes as no surprise that the use of automation and artificial intelligence in HR is still relatively rare compared to other departments in organizations across different industries.

Recruitment 52

Recruitment Transportation Retail Education 52

Teradata

APRIL 19, 2020

Learn how Teradata Vantage's advanced analytics and predictive modeling capabilities can help organizations and society combat the COVID-19 pandemic.

90

90

Confluent

APRIL 20, 2020

The goal of this post is to illustrate PUSH to web from Apache Kafka® with a hands-on example. Our business users are always wanting their data faster so they can […].

Kafka 93

Kafka Java Data 93

Rockset

APRIL 20, 2020

Elasticsearch is an open-source, distributed JSON-based search and analytics engine built using Apache Lucene with the purpose of providing fast real-time search functionality. It is a NoSQL data store that is document-oriented, scalable, and schemaless by default. Elasticsearch is designed to work at scale with large data sets. As a search engine, it provides fast indexing and search capabilities that can be horizontally scaled across multiple nodes.

SQL 40

SQL NoSQL Relational Database Database 40

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification