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

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5 Ways Data Engineering Enables Better Decision-Making for Businesses

Medium Data Engineering

In today’s data-driven business world, making informed decisions is critical for success.

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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.

Kafka 277
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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? Our Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. We discuss use cases, technology, and deployment options, top ten evaluation criteria and more.

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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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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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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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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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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.

Data 105
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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 104
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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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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.

SQL 98
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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 98
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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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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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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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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 98
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How we monitor thousands of Spark data pipelines

Medium Data Engineering

สวัสดีครับ เราชื่ออาร์ท ตอนนี้เป็น Senior Data Platform Engineer อยู่ที่ LINE MAN Wongnai วันนี้เราจะมาเล่าว่าเรา monitor Spark

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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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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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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 125
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Unlocking the Power of Trial and Error: Reinforcement Learning Paves the Way for Solving Complex…

Medium Data Engineering

Reinforcement Learning (RL) is a subfield of machine learning that involves developing algorithms and models that enable agents to learn… Continue reading on Medium »

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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

SQL 83
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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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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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Comprehensive Guide to Installing Superset on Any Linux Machine

Medium Data Engineering

Leverage the Google Cloud Platform for Efficient Superset Deployment and Data Analysis Continue reading on Towards Data Engineering »

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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 89
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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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Using ChatGPT to Learn SQL

KDnuggets

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

SQL 145
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The Ultimate Guide to Becoming a Data Engineer/ Big Data Engineer: Top N Strategies

Medium Data Engineering

“Climbing to the top demands strength, whether it is to the top of Mount Everest or to the top of your career”- A. P. J.

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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.

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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 73