Data Engineering Podcast

DECEMBER 21, 2020

Summary Data governance is a term that encompasses a wide range of responsibilities, both technical and process oriented. One of the more complex aspects is that of access control to the data assets that an organization is responsible for managing. The team at Immuta has built a platform that aims to tackle that problem in a flexible and maintainable fashion so that data teams can easily integrate authorization, data masking, and privacy enhancing technologies into their data infrastructure.

Data Governance 130

Data Governance Government Data Lake Banking 130

Confluent

DECEMBER 21, 2020

I’m proud to announce the release of Apache Kafka 2.7.0 on behalf of the Apache Kafka® community. The 2.7.0 release contains many new features and improvements. This blog post highlights […].

Kafka 113

Kafka 113

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. You will learn all the parts of Cloudera’s Data Platform that together will accelerate your everyday Data Worker tasks.

Banking 97

Banking Data Lake Data Data Warehouse 97

DataKitchen

DECEMBER 21, 2020

We understand that many folks would like to say goodbye and good riddance to 2020. But before we shut the door on such a turbulent, transformative year, we at DataKitchen would like to share the creme de la creme of our DataOps content in hopes that it can help you as you learn about and implement DataOps. We hope you and your family have happy holidays and we look forward to continuing your DataOps journey with you in the new year.

IT 84

IT 84

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

Grouparoo

DECEMBER 22, 2020

A necessary practice and skill to building a successful product is having accurate, accessible, and actionable data. I’ve had the privilege to work at some great companies that are extremely data-focused, and I’ve learned from some of the best along the way. Quantitative user data At Zynga , we had millions of daily active users, where we tracked every click, action, and session across all of our games and apps.

Project 52

Project Entertainment Recruitment SQL 52

Teradata

DECEMBER 21, 2020

Data is the lifeblood of organizations, bringing information to various departments and functions. Keeping data healthy can be simple with good hygiene, but this is easier said than done.

Management 52

Management Data 52

DataKitchen

DECEMBER 20, 2020

It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is most adaptable to change. – Leon C. Megginson on Charles Darwin “Origin of Species”. Adapt or face decline. The agile alliance defines “ business agility ” as the ability of an organization to sense changes internally or externally and respond accordingly in order to deliver value to its customers.

Engineering 59

Engineering Manufacturing Data Analytics Data Workflow 59

Grouparoo

DECEMBER 21, 2020

Yesterday, I was writing some blog posts. In grand engineer tradition, I got distracted while blogging and spent a few hours writing tools to increase blogging efficiency. Specifically, I was having trouble knowing the correct width and height props to put on the screenshots I was making for the blog post. I would take the screenshot and then use image tools and even a spreadsheet to figure out the right ratio/dimensions for how I wanted it to show up in the UI.

Coding 52

Coding Engineering IT 52

Data Council

DECEMBER 21, 2020

Here's our December 2020 roundup of links from across the web that could be relevant to you: 1. The Modern Data Stack (Fishtown Analytics) This long-form post on the dbt blog is a must-read. Titled “The Modern Data Stack: Past, Present, and Future,” it answers the question that Tristan Handy has been asking himself for the past two years: “What happened to the massive innovation we saw from 2012-2016?

Metadata 52

Metadata Architecture Data Technology 52

Teradata

DECEMBER 20, 2020

The banking industry has a regulatory problem. Both sides of the regulatory fence are now working on a more holistic, rules-based system that, if done well, could become a competitive advantage.

Banking 52

Banking Systems 52

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

Rockset

DECEMBER 22, 2020

Elasticsearch has long been used for a wide variety of real-time analytics use cases, including log storage and analysis and search applications. The reason it’s so popular is because of how it indexes data so it’s efficient for search. However, this comes with a cost in that joining documents is less efficient. There are ways to build relationships in Elasticsearch documents, most common are: nested objects, parent-child joins, and application side joins.

SQL 40

SQL Data MongoDB Aggregated Data 40

Preset

DECEMBER 21, 2020

What's new in Superset 0.38?

40

40

Netflix Tech

DECEMBER 23, 2020

By Fabio Kung , Sargun Dhillon , Andrew Spyker , Kyle , Rob Gulewich, Nabil Schear , Andrew Leung , Daniel Muino, and Manas Alekar As previously discussed on the Netflix Tech Blog, Titus is the Netflix container orchestration system. It runs a wide variety of workloads from various parts of the company?—?everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders.

Media 114

Media Accessible Accessibility Systems 114

Cloudera

DECEMBER 21, 2020

There has been an e-commerce explosion this year as consumers seek safety and convenience from the comfort of their own homes using digital tools to purchase everything from durable hard goods to fashion accessories to daily living consumables like food perishables, cleaning products and even school supplies. In a 2020 study by Facebook and Bain & Co , approximately 310 million customers in Southeast Asia (ASEAN) are expected to shop online with an average spend of US$172 this year, compared

Retail 89

Retail Cloud Food Government 89

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

Netflix Tech

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse.

Data Warehouse 81

Data Warehouse Metadata Algorithm Data 81

Cloudera

DECEMBER 21, 2020

Our annual Data Impact Awards are all about celebrating organizations that are unlocking the maximum value from their data in order to drive the business forward. One category that highlighted some fantastic examples of customers doing just that, was The Enterprise Data Cloud award. While data has become crucial in helping businesses weather the storm in the last few months, it’s also been more challenging to manage due to the speed and volume in which it’s produced.

Cloud 93

Cloud Data Data Architecture Machine Learning 93