Sat.Apr 22, 2023 - Fri.Apr 28, 2023

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The Composable Customer Data Platform: Everything You Need To Know

Monte Carlo

Introduction Thanks to the continued push towards a privacy-first internet, first-party customer data has never been more important to digital organizations. With the imminent death of third-party cookies and the rising expectations of modern consumers, companies are quickly moving to invest in implementing scalable customer data infrastructures that can deliver on their many needs.

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Importance of Data Transformation in Business Process

Hevo

In today’s data-driven world, businesses collect and store vast amounts of data from various sources. However, raw data is often unstructured, inconsistent, and may not be immediately usable for analysis or decision-making. That’s where data transformation comes into play.

Process 52
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Realtime Data Applications Made Easier With Meroxa

Data Engineering Podcast

Summary Real-time capabilities have quickly become an expectation for consumers. The complexity of providing those capabilities is still high, however, making it more difficult for small teams to compete. Meroxa was created to enable teams of all sizes to deliver real-time data applications. In this episode DeVaris Brown discusses the types of applications that are possible when teams don't have to manage the complex infrastructure necessary to support continuous data flows.

Data Lake 277
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What is Data Analytics? How to Use it in Your Career?

Analytics Vidhya

In this digital world, Data is the backbone of all businesses. With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries? We will be answering all these […] The post What is Data Analytics?

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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Mastering AI-Powered Product Development: Introducing Promptimize for Test-Driven Prompt…

Maxime Beauchemin

Mastering AI-Powered Product Development: Introducing Promptimize for Test-Driven Prompt Engineering originally posted here-> [link] AI, AGI, LLM, and GPT are the buzzwords of the moment. Like you, I’m excited, concerned, and constantly getting goosebumps as I try to keep up with everything happening in the field. It’s time for me to put on my helmet, secure it with duct tape, and contribute something that can help propel this frenzy forward ???

SQL 148
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Table file formats - Schema evolution: Delta Lake

Waitingforcode

Data lakes have made the data-on-read schema popular. Things seem to change with the new open table file formats, like Delta Lake or Apache Iceberg. Why? Let's try to understand that by analyzing their schema evolution parts.

Data Lake 130

More Trending

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Academia to Industry: Data Science Graduate Programs for South Africa’s Future

Analytics Vidhya

Introduction South Africa is not an exception as data science-driven economic change sweeps the world. The nation is seeing an increase in demand for qualified data science workers as a result of its booming IT sector and developing data-driven industries. Effective Graduate Training Programmes, Graduate Development Programmes, and Graduate Programs in data science must be […] The post Academia to Industry: Data Science Graduate Programs for South Africa’s Future appeared first on An

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Data News — Week 23.17

Christophe Blefari

Berlin ( credits ) Hey you, new edition of the newsletter. This week summer time arrived in Berlin and it was awesome. I managed to move forward with my client projects this week and it also feels relieving. So I'm pretty happy, sun and great projects 🙂 Regarding the content, if you are in Paris on May 9th, we are organising the Paris Airflow Meetup in Algolia offices, it will be in English so you don't have any excuses not to come.

SQL 100
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Dealing With Noisy Labels in Text Data

KDnuggets

The article shows effective coding procedures for fixing noisy labels in text data that improve the performance of any NLP model. The impact is proved by the comparison of the ML algorithm on starting and cleaning the dataset.

Datasets 121
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Improved Alerting with Atlas Streaming Eval

Netflix Tech

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases. Engineers want their alerting system to be realtime, reliable, and actionable.

Database 117
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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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A Detailed Guide of Interview Questions on Apache Kafka

Analytics Vidhya

Introduction Apache Kafka is an open-source publish-subscribe messaging application initially developed by LinkedIn in early 2011. It is a famous Scala-coded data processing tool that offers low latency, extensive throughput, and a unified platform to handle the data in real-time. It is a message broker application and a logging service that is distributed, segmented, and […] The post A Detailed Guide of Interview Questions on Apache Kafka appeared first on Analytics Vidhya.

Kafka 201
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How LinkedIn Adopted A GraphQL Architecture for Product Development

LinkedIn Engineering

With the widespread adoption of Rest.li since its inception in 2013, LinkedIn has built thousands of microservices to enable the exchange of data with our engineers and our external partners. Though this microservice architecture has worked out really well for our API engineers, when our clients need to fetch data they find themselves talking to several of these microservices.

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Automate Your Codebase with Promptr and GPT

KDnuggets

Are you looking to streamline your code operations with GPT but are tired of the copy-pasting process? Well, here is the solution in the form of Promptr. An open-source tool to automate your codebase.

Coding 109
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DoorDash identifies Five big areas for using Generative AI

DoorDash Engineering

In the wake of ChatGPT and Generative AI DoorDash is identifying ways this new technology can enhance the customer’s ordering experience on the platform. The company is exploring the use of Generative AI, a subset of Artificial Intelligence that generates novel content based on existing data, and how it can be implemented effectively with consideration for the privacy and security of personal information.

Food 100
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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.

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How Does Scrum Master Facilitate Events?

Knowledge Hut

Scrum Masters are important to the success of Scrum teams because they lead many of the activities that make sure the team works well together, improve consistency, and gives the client something of value. In this article, we will look at how a scrum master facilitates events such as daily scrum meetings, sprint planning, sprint review, and sprint retrospective meetings.

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Type-safe data processing pipelines

Tweag

Computing is all about transforming data. A wide variety of domains, such as multimedia, securities trading or compilers, allow decomposing the corresponding transformations into a sequence of well-defined steps. Moreover, these steps can be combined in different ways, perhaps omitting some or changing the order of others, producing different data processing pipelines tailored to a particular task at hand.

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Top Posts April 17-23: AutoGPT: Everything You Need To Know

KDnuggets

AutoGPT: Everything You Need To Know • Baby AGI: The Birth of a Fully Autonomous AI • Mastering Generative AI and Prompt Engineering: A Free eBook • Data Analytics: The Four Approaches to Analyzing Data and How To Use Them Effectively • A Step-by-Step Guide to Web Scraping with Python and Beautiful Soup

Python 110
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A data architecture pattern to maximize the value of the Lakehouse

databricks

One of Lakehouse's outstanding achievements is the ability to combine workloads for modern use cases, such as traditional BI, machine learning & AI.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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What is Agile Modeling? Values, Principles, Phases, Benefits

Knowledge Hut

A structure provides the required clarity to focus efforts, especially while starting a new project. A model plays the same role in the case of software, and agile modeling provides a way to optimize the modeling efforts through the development lifecycle. Modeling helps developers understand all the components and their interactions. In addition, it allows a chance to understand the system from multiple perspectives, including functional, performance, and security considerations, thus helping th

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How we reduced a 6-hour runtime in Alteryx to 9 minutes in dbt

dbt Developer Hub

Alteryx is a visual data transformation platform with a user-friendly interface and drag-and-drop tools. Nonetheless, Alteryx may have difficulties to cope with the complexity increase within an organization’s data pipeline, and it can become a suboptimal tool when companies start dealing with large and complex data transformations. In such cases, moving to dbt can be a natural step, since dbt is designed to manage complex data transformation pipelines in a scalable, efficient, and more explicit

BI 83
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Data Visualization Best Practices & Resources for Effective Communication

KDnuggets

This article is meant to help you understand the art of data visualization and how to apply it to your work.

Data 140
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Gaining Control of Your CDP Environment

Cloudera

Unwelcome… … are platform instability, downtime, hardware failure, poor performance, cluster resource contention, repeated process failures, runaway live queries, critical services alarms, invisibility into alarm cacophony… the list goes on. If those are ailments you would like to remedy … Welcome! To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment.

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Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

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Building a large scale unsupervised model anomaly detection system?—?Part 2

Lyft Engineering

Building a large scale unsupervised model anomaly detection system — Part 2 Building ML Models with Observability at Scale By Rajeev Prabhakar , Han Wang , Anindya Saha Photo by Octavian Rosca on Unsplash In our previous blog we discussed the different challenges we faced for model monitoring and our strategy for addressing some of these problems. We briefly mentioned using z-scores to identify anomalies.

Systems 76
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Meet the modern data stack at Beyond 2023

ThoughtSpot

The companies, products, and services that compose the modern data stack play an essential role in delivering the modern data experience—allowing businesses to collect, process, store, and analyze data at cloud speed and scale. We’re excited to highlight the modern data stack partners that you can connect with at Beyond 2023. Register now to join the virtual Beyond 2023 experience for free.

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MiniGPT-4: A Lightweight Alternative to GPT-4 for Enhanced Vision-language Understanding

KDnuggets

MiniGPT-4 possesses many capabilities of GPT-4 like generating image descriptions, creating a website with a hand-written draft, and writing a poem based on an image.

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A Serverless Query Engine from Spare Parts

Towards Data Science

An open-source implementation of a Data Lake with DuckDB and AWS Lambdas A duck in the cloud. Photo by László Glatz on Unsplash In this post we will show how to build a simple end-to-end application in the cloud on a serverless infrastructure. The purpose is simple: we want to show that we can develop directly against the cloud while minimizing the cognitive overhead of designing and building infrastructure.

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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

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Announcing the General Availability of Predictive I/O for Reads

databricks

Today, we are excited to announce the general availability of Predictive I/O for Databricks SQL (DB SQL): a machine learning powered feature to.

SQL 80
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??Kafka Summit London 2023: Level Up Your Kafka Experience!

Confluent

Kafka Summit 2023 brings 60+ sessions, keynotes, and lightning talks, and more from industry leaders. Check out the agenda, highlights, networking events, and more event info.

Kafka 69
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Using ChatGPT to Learn SQL

KDnuggets

And how to use this amazing tool to enhance our SQL skills.

SQL 160
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Functional Error Handling in Kotlin, Part 1: Absent values, Nullables, Options

Rock the JVM

This article is brought to you by Riccardo Cardin. Riccardo is a proud alumnus of Rock the JVM, now a senior engineer working on critical systems written in Scala and Kotlin. If you’d like to watch the video form of this article, please enjoy: The Kotlin language is a multi-paradigm, general-purpose programming language. Whether we develop using an object-oriented or functional approach, we always have the problem of handling errors.

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Get Better Network Graphs & Save Analysts Time

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.