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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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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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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15 Modern Use Cases for Enterprise Business Intelligence

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?

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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
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Real Talk about Running Databricks + Delta Lake at Scale.

Confessions of a Data Guy

Anyone who’s been working in Data Land for any time at all, knows that the reality of life very rarely matches the glut of shiny snake oil we get sold on a daily basis. That’s just part of life. Every new tool, every single thingy-ma-bob we think is going to solve all our problems and […] The post Real Talk about Running Databricks + Delta Lake at Scale. appeared first on Confessions of a Data Guy.

Data 130

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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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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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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 150
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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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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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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 98
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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.

Algorithm 118
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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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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

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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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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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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 105
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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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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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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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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 104
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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 95
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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.

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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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Running Ray in Cloudera Machine Learning to Power Compute-Hungry LLMs

Cloudera

Lost in the talk about OpenAI is the tremendous amount of compute needed to train and fine-tune LLMs, like GPT, and Generative AI, like ChatGPT. Each iteration requires more compute and the limitation imposed by Moore’s Law quickly moves that task from single compute instances to distributed compute. To accomplish this, OpenAI has employed Ray to power the distributed compute platform to train each release of the GPT models.

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Using ChatGPT to Learn SQL

KDnuggets

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

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Applying software development & DevOps best practices to Delta Live Table pipelines

databricks

Databricks Delta Live Tables (DLT) radically simplifies the development of the robust data processing pipelines by decreasing the amount of code that data.

Coding 89
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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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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 75
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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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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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Enhancing Product Search with Large Language Models (LLMs)

databricks

The text generation capabilities of ChatGPT, Dolly and the like are truly impressive and are rightfully recognized as major steps forward in the.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.