Afterpay Tech

JULY 9, 2020

” If you’re a product manager and you’ve been asking customers these questions, keep reading. Asking them the right questions could mean the difference between a successful product and a tough lesson best told through a blog post. I had a similar experience early on in my career.

Management 52

Management Building Designing IT 52

Zalando Engineering

NOVEMBER 19, 2023

Who we are We are a team from the Search & Browse department, the department in Zalando that is responsible for all things search (read: relevance, personalisation, sorting, filters, full text search, in short, everything that forms the search experience). Why upgrade We have been using Elasticsearch for a long time.

Scala 86

Scala Java Coding IT 86

Edureka

SEPTEMBER 11, 2023

Statistical Foundations Underlying Technologies Timeline of Evolution Types of Generative AI Examples in Real-World Applications The Negative: Drawbacks of Generative AI Case Study : Using Generative AI to Simplify Digital Marketing Content Production Conclusion What is Generative AI? Table of Contents What is Generative AI?

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

ProjectPro

DECEMBER 17, 2021

So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you. Challenges make us all uncomfortable but none of us can deny that difficult challenges only help us bring out the stronger and better version of ourselves. The second category has challenges with solution code.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ThoughtSpot

OCTOBER 4, 2023

This blog is part of our ongoing ‘Why I joined ThoughtSpot’ series, where we profile Spotters from around the world to learn who they are and why they chose a career at ThoughtSpot. There are really three core things for me when it comes to evaluating career opportunities: People, culture and technology.

Hospitality 90

Hospitality Technology Programming Cloud 90

DoorDash Engineering

DECEMBER 12, 2023

By understanding each consumer’s purchasing history, dietary restrictions, favorite brands, and other personalized details, we not only can recommend items that reflect a consumer’s unique shopping needs and preferences, but we can also streamline cart-building. Conversely, a digital shopping experience can be highly personalized.

Retail 93

Retail Architecture Building Process 93

Snowflake

JUNE 22, 2023

Talk of data products has taken the data world by storm. Data as a product puts that into practice. We often hear the term “data products” as one of the four pillars of a data mesh. The data mesh paradigm embraces the principle of data as a product. Data product thinking is for everyone. And I love it.

Building 52

Building Business Analyst Aggregated Data Data 52

Data Engineering Podcast

JANUARY 28, 2018

Continuous delivery lets you get new features in front of your users as fast as possible without introducing bugs or breaking production and GoCD is the open source platform made by the people at Thoughtworks who wrote the book about it. Go to dataengineeringpodcast.com/gocd to download and launch it today.

Data 100

Data Project Electronics Data Management 100

Knowledge Hut

NOVEMBER 28, 2023

As Data scientists, our focus is on both the quality and quantity of data which can improve the model results. With different sources of data, we can leverage the information to drive good business understanding. Your data should possess the maximum available information to perform meaningful analysis. are also examples of datasets.

Datasets 96

Datasets Data Science Project Banking 96

ProjectPro

NOVEMBER 18, 2021

We have developed ten exciting data science case studies to explain how data science is leveraged across various industries to make smarter decisions and develop innovative personalized products tailored to specific customers. million people around the globe. Walmart is home to the world's largest private cloud, which can manage 2.5

Data Science 52

Data Science Project Food Pharmaceutical 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. An example can be the backend architecture for an insurance product. REST APIs define the HTTP methods that are used and the request and response payloads that are expected. Chattanooga, TN” }.

Kafka 110

Kafka Insurance Architecture Metadata 110

DareData

AUGUST 12, 2021

But while the value of data and data-driven decision making is becoming increasingly more apparent, it is not immediately obvious how to build and maintain a healthy data ecosystem. For example, logs from the devices you sell, or information about sales of your products. Introduction "Data is the 21st century oil".

Transportation 52

Transportation Data Lake Data Warehouse Data 52

ProjectPro

DECEMBER 14, 2021

We will look at some intriguing sample Power BI projects in this blog to help you better understand the role of Power BI in Data Science and how it can help businesses thrive. Product Sales Data Analysis 3. Data science aids in the discovery of relevant and productive trends and insights. What is Power BI Used For?

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

AUGUST 12, 2021

It is essential to pick the right BI tools to obtain the most out of the BI technologies. Tableau vs Power BI comparison will allow you to select the right tool as per your business requirements. Power BI is the product of Microsoft, and it provides cloud-based BI services to end-users. BI market will grow to $39.35

BI 40

BI Business Intelligence Data Security Accessible 40

ProjectPro

JANUARY 15, 2021

The thing most data science and machine learning beginners do wrong is they just stay focused on learning a lot of theoretical concepts and wait for too long to start a machine learning/data science project that focuses on the practical implementation of that concept. Thus, data is the golden goose in machine learning.

Datasets 40

Datasets Machine Learning Retail Banking 40

Cloudera

JANUARY 21, 2021

Building a Shadow IT organization with separate, disconnected data repositories that only serve your line of business’ needs and introduce compliance and security risk for your company, lose your organization’s focus and participation in core business, and see your company ending up paying much more in the end? Must you be: .

IT 95

IT Data Lake Data Warehouse Cloud Storage 95

Zalando Engineering

JUNE 20, 2018

It allowed tech teams to experiment with emerging technologies, support product discovery, kickstart hardware initiatives around 3D printing, and for prototyping of all sorts. Some of these ideas were built based on how we understood the technology and how customers could use it to browse and buy products from the Zalando Store.

Media 40

Media Programming Project Technology 40

U-Next

SEPTEMBER 19, 2022

Analytics is concerned with the discovery, interpretation, and processing of data. This power BI tutorial will help you choose the right tools for business management. . Further, in this power BI tutorial for beginners , let us understand a few things related to why Power BI is an essential tool for businesses and why we need it.

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

NOVEMBER 15, 2021

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Core function: Building the event streaming model for item bid activity and analytics. Data evolution.

Architecture 90

Architecture Programming Kafka Database-centric 90

AltexSoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. That’s a smart thing to do because not all data can be granted with this adjective. Big Data enjoys the hype around it and for a reason.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. This model is completely free form, we can build anything provided that we apply mechanical sympathy with the underlying system behavior. Building the KPay payment system. We need to build something real, such as a payment system. Deployment model.

Kafka 93

Kafka Pipeline-centric Architecture Database-centric 93

Confluent

JULY 31, 2019

If you’re like most users, chances are that Confluent Platform is rapidly becoming the new standard for integrating your data and applications to uncover new insights about your business, build real-time customer experiences, and create new business models. Automate Kafka operations for production environments.

Kafka 19

Kafka Cloud Accessible Accessibility 19

ProjectPro

JANUARY 22, 2016

Every food delivery chain, restaurant, grocery store, and cafeteria- all businesses in the food industry generate data in the form of customer orders, delivery location, GPS, tweets, images, reviews, blogs, updates, etc. People have pretty high expectations for food especially when they are ordering it from a restaurant.

Food 40

Food Big Data Data Analytics Data Analysis 40

Monte Carlo

JANUARY 23, 2024

In short, Maxime argues that to effectively scale data science and analytics in the future, data teams needed a specialized engineer to manage ETL, build pipelines, and scale data infrastructure. In the world of data engineering, Maxime Beauchemin is someone who needs no introduction. Enter, the data engineer. What is a data engineer today?

Data Engineering 98

Data Engineering Data Engineer Engineering Data 98

Snowflake

DECEMBER 14, 2023

The excitement (and drama) around AI continues to escalate. Because the stakes are high. The race for competitive advantage by applying AI to new use cases is on! The launch of generative AI last year added fuel to the fire, and for good reason. Gen AI has literally democratized not the data itself but the insights and information derived from it.

Pharmaceutical 102

Pharmaceutical Food Government Transportation 102

Databand.ai

DECEMBER 20, 2022

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. But for all the nuggets of wisdom, there’s a lot of noise to sift through.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. To build a big data project, you should always adhere to a clearly defined workflow. None of this would have been possible without the application of big data.

Big Data 52

Big Data Coding Project Hadoop 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Differentiate Data Products 25. Publish The Uptime of Your Data Products 48. Create Clear Lines of Ownership Build Data Trust With The Business 49. Keep Customers Happy 26.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Differentiate Data Products 25. Publish The Uptime of Your Data Products 48. Create Clear Lines of Ownership Build Data Trust With The Business 49. Keep Customers Happy 26.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

Monte Carlo

APRIL 20, 2023

In the data lineage graph above, the Looker dashboard client_hub on the far right is downstream of the table client_hub, which is downstream of the tables warehouse, users, and accounts. What are the data lineage use cases and best practices that will drive value for the business? We’re glad you asked. Courtesy of Monte Carlo.

Data Warehouse 52

Data Warehouse BI Government Data 52