Uber Engineering

JULY 27, 2021

Introduction to Fulfillment at Uber. Uber’s mission is to help our consumers effortlessly go anywhere and get anything in thousands of cities worldwide. At its core, we capture a consumer’s intent and fulfill it by matching it with the right … The post Uber’s Fulfillment Platform: Ground-up Re-architecture to Accelerate Uber’s Go/Get Strategy appeared first on Uber Engineering Blog.

Architecture 139

Architecture Engineering IT 139

Confluent

JULY 30, 2021

It’s about maintaining the right data even when no one is watching. Last year, Confluent announced support for Infinite Storage, which fundamentally changes data retention in Apache Kafka® by allowing […].

Data Integration 135

Data Integration Cloud Kafka Data 135

Data Engineering Podcast

JULY 27, 2021

Summary Everyone expects data to be transmitted, processed, and updated instantly as more and more products integrate streaming data. The technology to make that possible has been around for a number of years, but the barriers to adoption have still been high due to the level of technical understanding and operational capacity that have been required to run at scale.

Building 100

Building Management Kafka Data Warehouse 100

Cloudera

JULY 30, 2021

Meet Vinicius Cardoso, better known as Vini. . He is a Sr. Solutions Engineer (SE) working in Australia. . In his role, customers are at the center of everything he does. Wearing the hat of Enterprise Architect, he dives deep to understand customer’s organization goals, initiatives and requirements in order to identify the key capabilities that need to be delivered. .

Engineering 117

Engineering Professional Services Big Data Data Science 117

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

Teradata

JULY 25, 2021

Building a data analytics roadmap for a large, complex enterprise can be daunting. Breaking it down into essentials helps manage complexity, avoid pitfalls, & set the program in the right direction.

Building 52

Building Data Analytics Programming Data 52

Confluent

JULY 28, 2021

At Confluent, we focus on the holy trinity of performance, price, and availability, with the goal of delivering a similar performance envelope for all workloads across all supported cloud providers. […].

Cloud 120

Cloud Kafka Architecture 120

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype.

Data Science 113

Data Science Machine Learning Deep Learning Python 113

Teradata

JULY 27, 2021

Ransomware attacks can be devastating. That’s why it’s important to stay informed about what ransomware is, how it works and the types of ransomware there are.

IT 52

IT 52

Confluent

JULY 26, 2021

Twenty years ago, the data warehouses of choice were Oracle and Teradata. Since then, growth and innovation has shifted to the cloud, and a new generation of data systems have […].

Systems 113

Systems Cloud Designing Data Warehouse 113

Monte Carlo

JULY 30, 2021

Companies across all industries are striving to become data-driven: making decisions based on data and building a culture of data trust and transparency. But data downtime —periods of time where data is missing, broken or otherwise erroneous—undermines those efforts and can cost companies upwards of $15 million annually. And very often, the ability to achieve more reliable data is both time-intensive and intensely manual.

Food 40

Food Data Pipeline Coding Building 40

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering

Cloudera

JULY 29, 2021

HIMSS21 is just a few days away, and we hope you will join us to talk about how we can all achieve better health outcomes by working together. Health organizations across the world are evaluating safety precautions as COVID-19 cases continue to wax and wane and they consider universal questions such as, when is it safe to allow our administrative staff to return to the office, and how can we reassure our patients that we are committed to their health and safety?

Healthcare 100

Healthcare Unstructured Data Government Machine Learning 100

Teradata

JULY 27, 2021

Ransomware attacks can be devastating. That’s why it’s important to stay informed about what ransomware is, how it works and the types of ransomware there are.

IT 52

IT 52

Confluent

JULY 29, 2021

Multi-tenancy brings cost-efficiency to infrastructure, and when done correctly, creates an economy of scale. Done incorrectly and you degrade the user experience and create maintenance nightmares for operators. This is […].

Cloud 109

Cloud 109

ProjectPro

JULY 28, 2021

Google data science interviews are challenging. The data scientist interview questions are tricky, specific to Google’s data products, and cover a wide range of data science and machine learning concepts. The good news is that the right preparation can make a big difference and get you hired at one of the FANG companies. If you’re interviewing for a data scientist role at Google or you’re just curious about what a data scientist interview at Google looks like - we’ve brok

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Building

Cloudera

JULY 27, 2021

I’m thrilled to report that Cloudera today announced its membership of the TM Forum , the leading industry standards and collaboration group for the telecommunications industry. This is an important step for our company and for our telecommunications and media customers and partners, adding significant momentum and acceleration to our development of solutions for the industry.

Telecommunication 60

Telecommunication Big Data Architecture Media 60

Rockset

JULY 29, 2021

Since its introduction in 2012, Amazon DynamoDB has been one of the most popular NoSQL databases in the cloud. DynamoDB, unlike a traditional RDBMS, scales horizontally, obviating the need for careful capacity planning, resharding, and database maintenance. As a result, DynamoDB is the database of choice for companies building event-driven architectures and user-friendly, performant applications at scale.

NoSQL 40

NoSQL AWS Database Architecture 40

Confluent

JULY 27, 2021

Serverless offerings in the cloud are a favorite among software engineers—a prime example are object stores such as AWS S3. For the system designer, however, it is an engineering challenge […].

Cloud 104

Cloud Kafka Software Engineer Software Engineering 104

ProjectPro

JULY 26, 2021

Developed by the Google Brain Team, TensorFlow is an open-source platform that helps machine learning engineers and data scientists build models and deploy applications easily. With TensorFlow, getting started, building models, and debugging is made easy with access to high-level APIs like Keras. TensorFlow is equipped with features, like state-of-the-art pre-trained models, p opular machine learning datasets , and increased ease of execution for mathematical computations, making it popular amon

Project 40

Project Deep Learning Medical Datasets 40

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Pipeline Data Engineering

JULY 26, 2021

Frequently we receive positive comments about our curriculum and our general approach to data engineering, especially in the light of the hype vs. the realness that surrounds it. However, the selected content would be ineffective and empty for our students without the right delivery. Selecting the fitting pedagogical approach and combining it with the most effective didactical methods are key to running a successful course, so here are the whys and hows behind what a Pipeline Academy student is

Data Engineering 40

Data Engineering Data Engineer Engineering Education 40

Preset

JULY 26, 2021

Apache Superset™ and Dremio provide a powerful accelerated lakehouse platform.

Architecture 52

Architecture Data 52

Confluent

JULY 29, 2021

The second of this year’s three online Kafka Summits is now complete! We hope you were able to join us for Kafka Summit APAC 2021 yesterday. We had over 13,000 […].

Kafka 104

Kafka 104

RudderStack

JULY 27, 2021

In this update, we give you visibility into our product roadmap. The team has been working hard on planning and focus areas, and we're excited about Q3.

40

40

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

Building

Netflix Tech

JULY 26, 2021

By Andrew Nguonly , Armando Magalhães , Obi-Ike Nwoke , Shervin Afshar , Sreyashi Das , Tongliang Liu , Wei Liu , Yucheng Zeng Background Over the next few years, most content on Netflix will come from Netflix’s own Studio. From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases.

Data 101

Data Data Pipeline MySQL Data Warehouse 101

Cloudera

JULY 26, 2021

Introduction. With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies. Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enab

Generalist 114

Generalist Telecommunication Healthcare Data Science 114

Confluent

JULY 29, 2021

Data is at the center of our world today, especially with the ever-increasing amount of machine-generated log data collected from applications, devices, and sensors from almost every modern technology. The […].

Data Collection 90

Data Collection Data Technology Kafka 90

RudderStack

JULY 26, 2021

Here is a quick guide to how we leverage some of the functionality in and around the RudderStack application right here at RudderLabs.

Data 40

Data 40

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Certification

AltexSoft

JULY 27, 2021

Steve Jobs once said, “People don’t know what they want until you show it to them”. Well, try arguing that considering that we all watch videos suggested by YouTube, buy goods suggested by Amazon, and watch TV shows suggested by Netflix. People like being guided and given relevant offers and recommendations. They like being treated in a personal manner.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Data Engineering Podcast

JULY 30, 2021

Summary Companies of all sizes and industries are trying to use the data that they and their customers generate to survive and thrive in the modern economy. As a result, they are relying on a constantly growing number of data sources being accessed by an increasingly varied set of users. In order to help data consumers find and understand the data is available, and help the data producers understand how to prioritize their work, SelectStar has built a data discovery platform that brings everyone

BI 100

BI SQL Metadata Kafka 100

Grouparoo

JULY 28, 2021

When preparing your data set for analysis, it is crucial to ensure that your data set is both complete and accurate. One step in this process is deciding how to handle null values. Depending on how your data is going to be used, you may not want null values at all! Let's clean some data We're going to take a look at calculating Lifetime Value (LTV) of a customer.

SQL 52

SQL Coding Aggregated Data Python 52

Zalando Engineering

JULY 28, 2021

The Master Data Management Challenge Master data management (MDM) is a technology-enabled discipline in which business and Information Technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets. 1 At Zalando we are at an early phase of realising MDM for our internal data assets and we have chosen to do it in a consolidated style.

Technology 52

Technology Data Systems Data Governance 52

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