Teradata

JUNE 16, 2019

Running older Teradata analytics software versions may not support the latest innovations of Vantage and could cost you more than upgrading. Learn more.

IT 75

IT 75

Advancing Analytics: Data Engineering

JUNE 21, 2019

Ah the ETL (Extract-Transform-Load) Window, the schedule by which the Business Intelligence developer sets their clock, the nail-biting nightly period during which the on-call support hopes their phone won’t ring. It’s a cornerstone of the data warehousing approach… and we shouldn’t have one. There, I said it. Hear me out – back in the on-premises days we had data loading processes that connect directly to our source system databases and perform huge data extract queries as the start of one long

Data Warehouse 52

Data Warehouse Business Intelligence Data Data Validation 52

Netflix Tech

JUNE 20, 2019

Netflix Studio Hack Day ?—?May 2019 By Tom Richards , Carenina Garcia Motion , and Marlee Tart Hack Days are a big deal at Netflix. They’re a chance to bring together employees from all our different disciplines to explore new ideas and experiment with emerging technologies. For the most recent hack day, we channeled our creative energy towards our studio efforts.

Java 15

Java AWS Project Technology 15

Data Engineering Podcast

JUNE 16, 2019

Summary Building and maintaining a data lake is a choose your own adventure of tools, services, and evolving best practices. The flexibility and freedom that data lakes provide allows for generating significant value, but it can also lead to anti-patterns and inconsistent quality in your analytics. Delta Lake is an open source, opinionated framework built on top of Spark for interacting with and maintaining data lake platforms that incorporates the lessons learned at DataBricks from countless cu

Data Lake 100

Data Lake Lambda Architecture Data Warehouse Hadoop 100

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

Teradata

JUNE 18, 2019

Cheryl Wiebe examines the challenges of using AI in industrial situations.

IT 75

IT 75

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. Who has never seen an application use RDBMS SQL statements to run searches? You might be wondering, is this a good solution? As the databases professor at my university used to say, it depends. Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search,

Architecture 95

Architecture Building Kafka Database-centric 95