Data Engineering Podcast

JUNE 9, 2019

Summary Building a machine learning model can be difficult, but that is only half of the battle. Having a perfect model is only useful if you are able to get it into production. In this episode Stepan Pushkarev, founder of Hydrosphere, explains why deploying and maintaining machine learning projects in production is different from regular software projects and the challenges that they bring.

Machine Learning 100

Machine Learning Management Scala Data Science 100

Confluent

JUNE 13, 2019

You might think that data collection in astronomy consists of a lone astronomer pointing a telescope at a single object in a static sky. While that may be true in some cases (I collected the data for my Ph.D. thesis this way), the field of astronomy is rapidly changing into a data-intensive science with real-time needs. Each night, large-scale astronomical telescope surveys detect millions of changing objects in the sky and need to stream results to scientists for time-sensitive, complementary f

Kafka 102

Kafka Bytes Data Pipeline Python 102

Teradata

JUNE 9, 2019

Analytics as a service lets you offload IT infrastructure tasks so you can focus on solving your toughest business problems. Learn more about options for Teradata Vantage.

IT 61

IT 61

Rockset

JUNE 13, 2019

Why build a new SQL development environment? We love SQL — our mission is to bring fast, real-time queries to messy, semi-structured real-world data and SQL is a core part of our effort. A SQL API allows our product to fit neatly into the stacks of our users without any workflow re-architecting. Our users can easily integrate Rockset with a multitude of existing tools for SQL development (e.g.

SQL 52

SQL Structured Data Building Raw Data 52

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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

Advancing Analytics: Data Engineering

JUNE 10, 2019

Data has value – I think we’ve finally got to the point where most people agree on this. The problem we face is how long it takes to unlock that value, and it’s a frustration that most businesses I speak to are having. Let’s think about why this is. After the horror that was the “data silo” days, with clumps of data living in Access databases, Excel spreadsheets and isolated data stores, we’ve had a pretty good run with the classic Kimball data warehouse.

Data Warehouse 52

Data Warehouse Data Lake Data Data Validation 52

Confluent

JUNE 12, 2019

Confluent Cloud, a fully managed event cloud-native streaming service that extends the value of Apache Kafka ® , is simple, resilient, secure, and performant, allowing you to focus on what is important—building contextual event-driven applications, not infrastructure. If you are using Confluent Cloud as your managed Apache Kafka cluster, you probably also want to start using other Confluent Platform components like the Confluent Schema Registry, Kafka Connect, KSQL, and Confluent REST Proxy.

Cloud 94

Cloud Kafka Healthcare Software Engineer 94

Confluent

JUNE 11, 2019

For event streaming application developers, it is important to continuously update the streaming pipeline based on the need for changes in the individual applications in the pipeline. It is also important to understand some of the common streaming topologies that streaming developers use to build an event streaming pipeline. Here in part 4 of the Spring for Apache Kafka Deep Dive blog series, we will cover: Common event streaming topology patterns supported in Spring Cloud Data Flow.

Kafka 86

Kafka Cloud Java MongoDB 86

Advancing Analytics: Data Engineering

JUNE 10, 2019

Hey everyone, Advancing Analytics are heading to Seattle in November for the PASS Summit. We will be delivering a full day training day on Azure Databricks - Practical Azure Databricks: Engineering & Warehousing at Scale. The session will focus on using Azure Databricks for Modern Data Warehousing. Not sure if the day is for you? Well take a look at the video we recorded.

Data Science 52

Data Science Data Engineering 52

Teradata

JUNE 11, 2019

Chad Meley examines how Salesforce's acquisition of Tableau will impact customer choice and flexibility.

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