Wed.May 31, 2023

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What's new in Apache Spark 3.4.0 - Structured Streaming

Waitingforcode

The asynchronous progress tracking and correctness issue fixes presented in the previous blog posts are not the single new feature in Apache Spark Structured Streaming 3.4.0. There are many others but to keep the blog post readable, I'll focus here only on 3 of them.

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The Top AutoML Frameworks You Should Consider in 2023

KDnuggets

AutoML frameworks are powerful tool for data analysts and machine learning specialists that can automate data preprocessing, model selection, hyperparameter tuning, and even perform complex tasks like feature engineering.

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Testing Control-Flow Translations in GHC

Tweag

In November 2022, Tweag engineers merged a WebAssembly back end into the Glasgow Haskell Compiler (GHC). The back end includes a new translation for control flow , which enables GHC to avoid depending on external tools like Binaryen. Because the translation is new, we wanted to test it before submitting a merge request. And classic unit testing was not a good fit—we would have needed to know what the WebAssembly code was expected to be generated from any given fragment of Haskell, and that’s a j

Coding 122
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10 Interesting Project Management Project Ideas to Follow in 2023

Knowledge Hut

Project management is a critical function for every organization to achieve its goals in a successful and effective manner. According to one report, project management employment in the United States is predicted to expand by 33% between 2017 and 2027. According to the Bureau of Labour Statistics and PMI, companies will require roughly 88 million people in project management-related activities by 2027.

Project 98
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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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KDnuggets Top Posts for March 2023: AutoGPT: Everything You Need To Know

KDnuggets

AutoGPT: Everything You Need To Know • Top 19 Skills You Need to Know in 2023 to Be a Data Scientist • 8 Open-Source Alternative to ChatGPT and Bard • LangChain 101: Build Your Own GPT-Powered Applications • 10 Websites to Get Amazing Data for Data Science Projects • 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

More Trending

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Top 20 Artificial Intelligence Project Ideas in 2023

Knowledge Hut

AI finds its use in a wide range of applications like marketing , automation, transport, supply chain, and communication, to name a few. From cutting-edge research to real-world applications, here we will investigate the most executed artificial intelligence projects. This article will assist you to discover plenty of fascinating ideas and insights to inspire you, whether you are a tech fanatic or want to know about the future of AI.

Project 96
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How DoorDash uses XcodeGen to eliminate project merge conflicts

DoorDash Engineering

At DoorDash, we work to implement efficient processes that can mitigate common conflicts within a large iOS development team. Part of those efforts involve using XcodeGen, a command line interface (CLI), to reduce merging conflicts within our various iOS teams. Here we will discuss its implementation to manage the intricate business scenarios and demanding requirements of the Dasher app, which lets our drivers receive, pick up, and securely deliver orders to customers.

Project 95
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10 Things I Wouldn’t Do as a Data Visualization Architect

Medium Data Engineering

As a data visualization architect with over a decade of experience in data analysis and visualization, I’ve had the opportunity to work on… Continue reading on DataDrivenInvestor »

Data 93
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How Hard is it to Get into FAANG Companies

KDnuggets

This article explores the history and current state of FAANG companies, and how low acceptance rates for these companies may be due to the rapid growth of the tech industry.

IT 88
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ThoughtSpot Sage: data security with large language models

ThoughtSpot

With the recent announcement of ThoughtSpot Sage , we launched a number of enhancements to our search capabilities including AI-generated answers, AI-powered search suggestions, and AI-assisted data modeling. In this article we will walk you through the steps we take to secure your data during the LLM interaction. Looking more broadly, we’ll also describe the security process we follow during any application iteration or enhancement, so you can see the great lengths we take to keep your data se

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Easy Ingestion to Lakehouse with File Upload and Add Data UI

databricks

Data ingestion into the Lakehouse can be a bottleneck for many organizations, but with Databricks, you can quickly and easily ingest data of.

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Generative AI for the Enterprise

Cloudera

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. For proof of this megatrend look no further than the instant success of ChatGPT, where it set the record for the fastest-growing user base, reaching 100 million users in just 2 months after its launch.

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Introducing the Snowflake Connector for ServiceNow analytics

ThoughtSpot

In a world where user experience and IT support can mean the difference between hitting or missing your ARR marks, businesses have to find smarter ways to build workflows and support their IT departments. That’s where companies like ServiceNow come into play. A few years back, we created our ServiceNow SpotApp , a pre-built analytics template to help companies analyze and understand their data—so they can increase efficiencies across their complex IT environments.

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Go from Engineer to ML Engineer with Declarative ML

KDnuggets

Learn how to easily build any AI model and customize your own LLM in just a few lines of code with a declarative approach to machine learning.

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A guide to Generative AI terminology by Colin Eberhardt

Scott Logic

Generative AI is moving at an incredible pace, bringing with it a whole new raft of terminology. With articles packed full of terms like prompt injection, embeddings and funky acronyms like LoRA, it can be a little hard to keep pace. For a while now I’ve been keeping a notebook where I record brief definitions of these new terms as I encounter them.

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KDnuggets News, May 31: Bard for Data Science Cheat Sheet • Top 10 Tools for Detecting ChatGPT, GPT-4, Bard, and other LLMs

KDnuggets

Bard for Data Science Cheat Sheet • Top 10 Tools for Detecting ChatGPT, GPT-4, Bard, and other LLMs • Data Analytics Tools You Need To Know in 2023 • AI is Eating Data Science • A Deep Dive into GPT Models: Evolution & Performance Comparison

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Data Ticket Takers vs. Decision Makers

Monte Carlo

Fundamentally, there are two different types of data teams in this worlds. There are those who are reactive to the wants of the organization, and then there are those who proactively lead the organization towards its needs. The first is helpful, but a cost center. The second is a value generator. In these economic conditions, which would you rather be?

Data 59
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Snowflake Connector for Microsoft Power Platform Now Available 

Snowflake

Today, we’re excited to announce the Snowflake Connector for Microsoft Power Platform is now available. This connector provides instant access to up-to-date data within your Snowflake instance without manually integrating against API endpoints. Now anyone can easily build low-code applications or workflows on Power Platform that leverage Snowflake data without any previous technical or app development experience.

Coding 57
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Navigating the Data Engineering Space

Medium Data Engineering

This article brings to light some of the pain points, biases, and constraints accrued over time by Data teams in hopes of identifying and… Continue reading on Medium »

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May the Speed be with You: 20K QPS on Rockset

Rockset

Scalability, performance and efficiency are the key considerations behind Rockset’s design and architecture. Today, we are thrilled to share a remarkable milestone in one of these dimensions. A customer workload achieved 20K queries per second (QPS) with a query latency (p95) of under 100ms, marking a significant demonstration of the scalability of our systems.

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Fivetran: Simplifying Data Pipeline Management and Accelerating Insights

Medium Data Engineering

Introduction: In the realm of data integration and pipeline management, Fivetran has emerged as a game-changer, enabling organizations to… Continue reading on Medium »

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How to Build a Data Quality Integrity Framework

Monte Carlo

In a data-driven world, data integrity is the law of the land. And if data integrity is the law, then a data quality integrity framework is the FBI, the FDA, and the IRS all rolled into one. Data integrity is the ability to trust that a company’s data is reliable, compliant, and secure based on internal, industry, and regulatory standards. Because if we can’t trust our data, we also can’t trust the products they’re creating.

Data 52
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ETL? ELT? ??? ???

Medium Data Engineering

다양한 소스에 분산되어있는 데이터들을 한 곳에 모으는 방법으로 ETL 과정과 ETL 과정이 많이 사용됩니다 두 과정의 특징들을 비교해보고 장단점과 적절&#x

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How Backcountry Increases Data Team Efficiency by 30% with Monte Carlo

Monte Carlo

Online retailer Backcountry knows a thing or two about big adventures. Across multiple specialty brands and websites, the Park City, Utah-based company sells clothing and gear for outdoor sports enthusiasts. From hiking and camping to mountain biking and ice climbing, they cater to all kinds of experiences. But within the organization, one recent journey required some extra-special gear: the migration from a legacy platform to a modern, cloud-based data stack.

Data 52
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My First Data Engineer Project with GCP

Medium Data Engineering

หลังจากที่เรียนจบ Road To Data Engineer 2.0 จากเพจ Data TH.

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Data Pipeline vs. ETL: Which Delivers More Value?

Ascend.io

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. In the early stages of data management evolution, ETL processes offered a substantial leap forward in how we handled data – they provided a structured, systematic way to move data from one place to another, transforming it along the way to fit specific needs.

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Practical Data Engineering: Access MFA-enabled SharePoint From Databricks in Python Securely

Medium Data Engineering

“The Databricks Lakehouse Platform integrates with cloud storage and security in your cloud account, and manages and deploys cloud… Continue reading on Data Makes Fun »

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UPCOMING WEBINAR: Automated Test Generation – Why Data Teams Need It

DataKitchen

This webinar discusses how to make embarrassing data errors a thing of the past. We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors.

Data 52
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How To Implement Data Observability Like A Boss In 6 Steps

Monte Carlo

Data observability refers to an organization’s comprehensive understanding of the health and performance of the data within their systems. Data observability tools employ automated monitoring, root cause analysis, data lineage, and data health insights to proactively detect, resolve, and prevent data anomalies. This relatively new technology category has been quickly adopted by data teams, in part due to its extensibility (here are 61 use cases it supports).

Data 52
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ON-DEMAND WEBINAR: Data Journey – The Missing Piece

DataKitchen

Something is missing from our data systems. We cannot judge the expectations vs. reality in our production data systems. What is the variance between what is happening now and what should be happening? Is it on time? Late? Is it trustworthy? What is happening now? Will my customers find a problem? That missing piece that connects data system expectations and reality is a ‘Data Journey.

Data 52
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Top Cloud Computing Skills You Should Master

Knowledge Hut

Cloud computing has become an essential part of modern business, and it's not hard to see why. Clouds eliminate the need for elaborate IT teams, maintenance of IT infrastructure, and investment in expensive IT equipment. This alone is reason enough for businesses to invest in cloud computing. Additionally, shared resources are cost-effective, and even if you do want your private cloud, you’ll invest far less in terms of local infrastructure.

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Mastering Data Engineering: A Comprehensive Training Plan with Practical Examples

Medium Data Engineering

Introduction: Data engineering is a dynamic field that combines technical expertise, creativity, and problem-solving skills to transform… Continue reading on Medium »

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Top 10 Business Analytics Project Ideas

Knowledge Hut

As a beginner in business management, one of the most crucial skills is gathering and analyzing data to make informed decisions. Business analytics uses data and statistical methods to extract insights and make data-driven decisions. The good news is that there are countless business analytics project ideas that you can start working on to improve your skills and help your business thrive.

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