Data Engineering Podcast

JANUARY 21, 2019

Summary Building internal expertise around big data in a large organization is a major competitive advantage. However, it can be a difficult process due to compliance needs and the need to scale globally on day one. In this episode Jesper Søgaard and Keld Antonsen share the story of starting and growing the big data group at LEGO. They discuss the challenges of being at global scale from the start, hiring and training talented engineers, prototyping and deploying new systems in the cloud, and wh

Big Data 100

Big Data Systems Building Hadoop 100

Teradata

JANUARY 21, 2019

Applying deep reinforcement learning to real world problems has the potential to revolutionize how businesses tackle many of their core business challenges.

Data 45

Data 45

Rockset

JANUARY 23, 2019

Redash is a powerful open source query and visualization tool that helps you make sense of your data. It connects to variety of data sources and also includes a native connector for Rockset. In this post we will demonstrate how to use Redash to build live dashboards on Rockset data sets. Configure If you've never used Redash before, you need to set it up first.

SQL 40

SQL Building IT Data 40

Zalando Engineering

JANUARY 23, 2019

You’ve probably never had the same day twice at your current job. At Zalando it’s no different. Here, it not only depends on the product you're currently working on but also on your peers. Actually, what's expected from a frontend engineer can vary according to a company philosophy or your own previous experience: usually a frontend engineer can be seen as a Swiss army knife when in reality at Zalando, for example, we see them as masters of trades.

Engineering 40

Engineering AWS Coding Technology 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 Science

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge. In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

Teradata

JANUARY 21, 2019

Applying deep reinforcement learning to real world problems has the potential to revolutionize how businesses tackle many of their core business challenges.

Data 40

Data 40

Rockset

JANUARY 21, 2019

An incredible amount of business data is floating around in Excel spreadsheets - so data scientists often need to analyze data across multiple worksheets or even multiple spreadsheets using SQL. Additionally, this data may need to be joined with other data sets that are in JSON, CSV or Parquet formats. Microsoft Excel currently has some basic SQL support in place: Use SQL for connecting to an external database like Access or SQL Server, parsing field or table contents and importing the data.

SQL 40

SQL Data Lake AWS Data Science 40

Teradata

JANUARY 23, 2019

Ron Luebke discusses the pains of switching cloud providers.

Cloud 40

Cloud IT 40

Teradata

JANUARY 23, 2019

Ron Luebke discusses the pains of switching cloud providers.

Cloud 40

Cloud IT 40