Data Engineering Podcast

MAY 26, 2019

Summary Some problems in data are well defined and benefit from a ready-made set of tools. For everything else, there’s Pachyderm, the platform for data science that is built to scale. In this episode Joe Doliner, CEO and co-founder, explains how Pachyderm started as an attempt to make data provenance easier to track, how the platform is architected and used today, and examples of how the underlying principles manifest in the workflows of data engineers and data scientists as they collabor

Data Science 100

Data Science Data Pipeline Data Kafka 100

Uber Engineering

MAY 14, 2019

Uber operates on a global scale across more than 600 cities, with our apps relying entirely on wireless connectivity from over 4,500 mobile carriers. To deliver the real-time performance expected from Uber’s users, our mobile apps require low-latency and highly … The post Employing QUIC Protocol to Optimize Uber’s App Performance appeared first on Uber Engineering Blog.

Engineering 111

Engineering Architecture 111

Confluent

MAY 7, 2019

Every developer who uses Apache Kafka ® has used a Kafka consumer at least once. Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. Luckily, Kafka’s consuming model is quite easy to understand.

Kafka 111

Kafka Accessible Accessibility Metadata 111

Netflix Tech

MAY 1, 2019

by Guillaume du Pontavice, Phill Williams and Kylee Peña (on behalf of our Streaming Algorithms, Audio Algorithms, and Creative Technologies teams) Remember the epic opening sequence of Stranger Things 2 ? The thrill of that car chase through Pittsburgh not only introduced a whole new set of mysteries, but it returned us to a beloved and dangerous world alongside Dustin, Lucas, Mike, Will and Eleven.

Engineering 109

Engineering Algorithm Media Entertainment 109

Advertisement

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Cloud

Teradata

MAY 1, 2019

Teradata CMO Martyn Etherington discusses how brands can build, measure, and maintain brand equity. He also explains why customer experience is critical to a brand's success.

Building 97

Building 97

Rockset

MAY 24, 2019

Remote work affords organizations access to more talent and offers workers greater flexibility in their lives. With a vision for everyone to be able to work from anywhere, FULL Creative runs a contact center service using fully remote teams, tapping into the growing share of employees working remotely. FULL agents answer calls on behalf of 7,000 clients of all sizes, from plumbers to parking garages to legal and medical professionals.

Management 52

Management Medical SQL Utilities 52

Zalando Engineering

MAY 8, 2019

AWS SQS polling from sharded Akka Cluster running on Kubernetes NOTE: This blog post requires the reader to have prior knowledge of AWS SQS , Akka Actors and Akka Cluster Sharding. My last post introduced Akka Cluster Sharding as a Distributed Cache running on Kubernetes. As that Proof-of-concept(PoC) proved promising, we started building a high-throughput and low-latency system based on the gained experiences and learnings.

AWS 52

AWS Architecture Systems Process 52

Confluent

MAY 21, 2019

When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. At first, you may think to use REST APIs—most programming languages have frameworks that make it very easy to implement REST APIs, so this is a common first choice. REST APIs define the HTTP methods that are used and the request and response payloads that are expected.

Kafka 110

Kafka Insurance Architecture Database 110

Netflix Tech

MAY 21, 2019

Lerner?—?using RL agents for test case scheduling By: Stanislav Kirdey , Kevin Cureton , Scott Rick , Sankar Ramanathan Introduction Netflix brings delightful customer experiences to homes on a variety of devices that continues to grow each day. The device ecosystem is rich with partners ranging from Silicon-on-Chip (SoC) manufacturers, Original Design Manufacturer (ODM) and Original Equipment Manufacturer (OEM) vendors.

Amazon Web Services 65

Amazon Web Services Manufacturing Python AWS 65

Teradata

MAY 23, 2019

Using Vantage, Air France-KLM Group performs cross-channel analytics of customer data to provide a seamless experience for their passengers.

Data 96

Data 96

Advertisement

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

Rockset

MAY 23, 2019

Adding an index to a database is one of those little joys in life. A query takes 10 seconds, you add a good index, and boom.10 milliseconds! Customers are happy, manager is happy, database is happy (according to its CPU graph at least). However, managing indexes gets old quickly. More indexes means writes are slower. There is always another query creeping up on the latency graph.

Database 52

Database Datasets Media Algorithm 52

Data Engineering Podcast

MAY 6, 2019

Summary The database market continues to expand, offering systems that are suited to virtually every use case. But what happens if you need something customized to your application? FoundationDB is a distributed key-value store that provides the primitives that you need to build a custom database platform. In this episode Ryan Worl explains how it is architected, how to use it for your applications, and provides examples of system design patterns that can be built on top of it.

Systems 100

Systems MongoDB NoSQL Database 100

InData Labs

MAY 4, 2019

Businesses of mid and large scale have massive amounts of printed documents in daily use. Among them are invoices, receipts, corporate documents, reports, media releases. And millions of them can be handwritten, which makes documents understandable for humans but difficult to read for machines. Basic Concept of OCR Optical character recognition (OCR) algorithms allow computers.

Algorithm 52

Algorithm Process Media Technology 52

Confluent

MAY 23, 2019

Let us cut to the chase: Kafka Summit London session videos are available! If you were there, you know what a great time it was, and you know that you had to make sometimes-agonizing decisions about which sessions to attend and which to miss. Well, now you can make all those tradeoffs right by watching the whole catalog. And if you weren’t there? Well, dig in and start learning!

Kafka 109

Kafka Cloud Database Engineering 109

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data

Netflix Tech

MAY 1, 2019

By Ed Ballot “Creating a good API is hard.”?—? anyone who has created an API used by others As with any API, wrapping your data stream in a Rx observable requires consideration for reasonable error handling and intuitive behavior. The following guidelines are intended to help developers create consistent and intuitive API. Since we frequently create Rx Observables in our Android app, we needed a common understanding of when to use onNext() and when to use onError() to make the API more consisten

Database 63

Database Coding Systems Building 63

Teradata

MAY 14, 2019

Cheryl Wiebe explains why AI for industrial use cases is a more complicated road than it appears.

IT 103

IT 103

Rockset

MAY 17, 2019

We love a good debate. And we love data. So when the existential question of spaces vs. tabs came up in our team, we just had to run a real-time survey and collect thousands of data points around it. While we were at it, we figured it was time to settle the debate around other equally important developer issues like Hint vs. LaCroix, Vim vs. Emacs, and more.

NoSQL 52

NoSQL SQL Kafka Data Pipeline 52

Advancing Analytics: Data Engineering

MAY 2, 2019

In the last Docker for Data Science blog we looked at where Docker came from and why it is important. In this blog we will get Docker installed and configured on either Windows or Mac. Installing Docker. Below are instructions for installing Docker on both Windows and on Mac. <important>Before we begin, there are a few different methods for installing Docker on Windows and Mac.

Data Science 52

Data Science Data Accessible Accessibility 52

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

Manufacturing

Cloudera

MAY 9, 2019

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. Most of the enterprises start an IoT initiative without assessing their potential prior hand to be able to complete it. Even if they complete it, they lack the ability to identify and correlate the success metrics with key business goals.

Manufacturing 56

Manufacturing Data Ingestion Architecture Data Governance 56

Confluent

MAY 13, 2019

In the last year, we’ve experienced enormous growth on Confluent Cloud, our fully managed Apache Kafka ® service. Confluent Cloud now handles several GB/s of traffic—a 200-fold increase in just six months. As Confluent Cloud has grown, we’ve noticed two gaps that very clearly remain to be filled in managed Apache Kafka services. First, all the Kafka services out there still require you to size and provision a cluster, which inevitably leads to a poor developer experience, over-provisioned capaci

Kafka 100

Kafka Cloud Building Management 100

Netflix Tech

MAY 30, 2019

By Juliano Moraes , David Henry , Corey Grunewald & Jim Isaacs Recently Netflix has started building mobile apps to bring technology and innovation to our Studio Physical Productions , the portion of the business responsible for producing our TV shows and movies. Our very first mobile app is called Prodicle and was built for Android & iOS using the same reactive architecture in both platforms, which allowed us to build 2 apps from scratch in 3 months with 4 software engineers.

Architecture 62

Architecture Coding Software Engineer Software Engineering 62

Teradata

MAY 2, 2019

Ritu Jain explains the value of the Teradata Real Time Interaction Manager (RTIM) and why personalized customer experiences are so critical for marketers.

Management 81

Management 81

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Systems

Rockset

MAY 17, 2019

The best way to answer questions about user behavior is often to gather data. A common pattern is to track user clicks throughout a product, then perform analytical queries on the resulting data, getting a holistic understanding of user behavior. In my case, I was curious to get a pulse of developer preferences on several divisive questions. So, I built a simple survey and gathered tens of thousands of data points from developers on the Internet.

Building 52

Building SQL NoSQL Data 52

Zalando Engineering

MAY 15, 2019

A closer look at how the Linux kernel influences Redis memory management Recently, I was talking to a long-time friend, previous university colleague and former boss, who mentioned the fact that Redis was failing to persist data to disk in low memory conditions. For that reason, he advised to never let a Redis in-memory dataset to be bigger than 50% of the system memory.

Datasets 50

Datasets Systems Python Coding 50

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments. But rather as businesses look to operationalize machine learning capabilities at scale, they’ll turn increasingly to commercial platforms, with connectors to open so

Data Science 50

Data Science Transportation Machine Learning Algorithm 50

Confluent

MAY 22, 2019

The internet is not just connecting people around the world. Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting machines to other machines. In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution.

Kafka 98

Kafka Google Cloud NoSQL Entertainment 98

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Project

Confluent

MAY 29, 2019

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. Now in part 2, we’ll discuss the challenges we faced developing, building, and deploying the KSQL portion of our application and how we used Gradle to address them. In part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices.

Kafka 96

Kafka Management Bytes SQL 96

Confluent

MAY 30, 2019

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®. As a continuation from the previous blog series, this blog post explains how Spring Cloud Data Flow helps you gain developer productivity and manage Apache-Kafka-based event streaming applicati

Kafka 95

Kafka Cloud Data Pipeline PostgreSQL 95

Confluent

MAY 9, 2019

So far in this series, we have recognized that by going back to first principles, we have a new foundation to work with. Event-first thinking enables us to build a new atomic unit: the event. Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement.

Kafka 94

Kafka Pipeline-centric Architecture Database-centric 94

Confluent

MAY 15, 2019

Red Pill Analytics was recently engaged by a Fortune 500 e-commerce and wholesale company that is transforming the way they manage inventory. Traditionally, this company has used only a few massive warehouses and shipped out from these locations to all customers regardless of geographic location or delivery style. But these legacy warehouses were slow to ship from and couldn’t keep up with more modern inventory management strategies, including same-day dropshipping or bringing the product physic

Kafka 92

Kafka ETL Tools Cloud Data Integration 92

Advertisement

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Cloud