Sat.Jan 20, 2024 - Fri.Jan 26, 2024

article thumbnail

A Guide to Data Engineering Infrastructure

Towards Data Science

Automate resource provisioning with modern tools Continue reading on Towards Data Science ยป

article thumbnail

Static enrichment dataset with Delta Lake

Waitingforcode

Data enrichment is one of common data engineering tasks. It's relatively easy to implement with static datasets because of the data availability. However, this apparently easy task can become a nightmare if used with inappropriate technologies.

Datasets 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to learn data engineering

Christophe Blefari

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. The aim of this post is to create a repository of important links and concepts we should care about when we do data engineering.

article thumbnail

The Difficulties of Senior Engineer โ€ฆ. are not Engineering

Confessions of a Data Guy

Well, I hate to break the news to you. I was the same when I first started, writing code that is. I was a zealot. I was zealous for every new thing I learned, every new language, every new approach, I would find the preacher who was preaching the message I wanted to hear … […] The post The Difficulties of Senior Engineer … are not Engineering appeared first on Confessions of a Data Guy.

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

article thumbnail

7 Steps to Landing Your First Data Science Job

KDnuggets

Want to make a successful career switch to data science? From learning data science concepts to cracking interviews, read this guide to move one step closer to your first data science job.

article thumbnail

Databricks Announces the Industryโ€™s First Generative AI Engineer Learning Pathway and Certification

databricks

Today, we are announcing the industry's first Generative AI Engineer learning pathway and certification to help ensure that data and AI practitioners have.

More Trending

article thumbnail

Geoprocessing enhancements in ArcGIS Pro 3.2 for ArcMap users

ArcGIS

Equivalency enhancements to geoprocessing in ArcGIS Pro 3.2 to remove more barriers for those transitioning from ArcMap.

139
139
article thumbnail

The Only Free Course You Need To Become a Professional Data Engineer

KDnuggets

Data Engineering ZoomCamp offers free access to reading materials, video tutorials, assignments, homeworks, projects, and workshops.

article thumbnail

Trusted Data for the Data Intelligence Platform: Databricks Ventures Invests in Anomalo

databricks

Reliable, accurate and trusted data is the most critical requirement for any data application in an enterprise. As Databricks customers increasingly rely on.

Data 111
article thumbnail

What Is Crashing a Project in Project Management?

Knowledge Hut

With over a decade of my experience in Project management, I might have crashed about 80% of my Project. Project Crashing is not a negative or a bad thing like it sounds, instead it serves as a strategy in project management, aimed at expediting project timelines without compromising the project's scope. It's very different from fast-tracking, which involves resequencing activities, and scope changes, which alter project objectives, project crashing focuses on deploying additional resour

Project 98
article thumbnail

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.

article thumbnail

Bring your Snowpark models to life on ThoughtSpot

ThoughtSpot

ThoughtSpot is taking Snowpark use cases to the next level with generative AI, connecting the dots between ML-powered insights and business action. If youโ€™re new to Snowpark, this is Snowflake โ€™s set of libraries and runtimes that securely deploy and process non-SQL code including Python, Java, and Scala. Combining the power of Snowflake Snowpark and ThoughtSpot, developers and data professionals can create models, uncover insights, and build data apps using their preferred programming language.

Scala 84
article thumbnail

KDnuggets News, January 24: 5 Free University Courses to Learn Data Science โ€ข Convert Unstructured Data into Structured Insights with LLMs

KDnuggets

This week on KDnuggets: Here are five free university courses to help you get started in a data science career โ€ข Understand the unstructured data dilemma โ€ข And much, much more!

article thumbnail

Building and Customizing GenAI with Databricks: LLMs and Beyond

databricks

Generative AI has opened new worlds of possibilities for businesses and is being emphatically embraced across organizations. According to a recent MIT Tech.

Building 102
article thumbnail

CSM vs PSM: Main Differences Between CSM & PSM Certification

Knowledge Hut

In today's era of digital transformation and rapidly evolving technological trends, it is imperative for IT professionals to keep up with the latest know-how about the subject matter, tools, and skills. Other than pursuing career-oriented courses and certifications, there is no better way for professionals to achieve this objective. Certifications are like stepping stones for professionals guiding their career journey and learning paths to progress ahead and stay in vogue with job demands as wel

article thumbnail

Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

article thumbnail

New Snowflake Deployments: Saudi Arabia and Zurich Coming Soon

Snowflake

A key benefit of the Snowflake Data Cloud is the elimination of data silos. Fundamental to this outcome is the ability of customers to operate and collaborate globally. To support this, the Data Cloud was designed to provide customers with the same product experienceโ€”including security and governance capabilities โ€” across multiple cloud regions with the three major cloud providers: AWS, Azure, and Google Cloud.

article thumbnail

Powering Up with Predictive GenAI

KDnuggets

Learn what Predictive GenAI does and how it can make predictive analytics far more accessible, efficient, and meaningful for your business.

article thumbnail

Introducing the New Fully Managed BigQuery Sink V2 Connector for Confluent Cloud: Streamlined Data Ingestion and Cost-Efficiency

Confluent

The new fully managed BigQuery Sink V2 connector for Confluent Cloud offers streamlined data ingestion and cost-efficiency. Learn about the Google-recommended Storage Write API and OAuth 2.0 support.

article thumbnail

Top 7 Six Sigma Companiesย With Successful Implementation

Knowledge Hut

Although Six Sigma was primarily developed to enhance quality in the manufacturing industry, now six sigma concept is used to measure the companies to assist several business processes. Over time, I've seen a big change in how different industries work. Things like hospitality, healthcare, aviation, and finance are now using something called Six Sigma.

article thumbnail

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

article thumbnail

Top 3 Healthcare and Life Sciences Data + AI Predictions for 2024

Snowflake

This year may be the most innovative on record. Recent advances in AI are beginning to transform how we live and work. And the potential impacts of artificial intelligence (AI) on the healthcare and life sciences industries are expected to be far-reaching. Itโ€™s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment.

article thumbnail

AI Prompt Engineers are Making $300k/y

KDnuggets

Prompt engineering and generative AI are becoming hotter by the day. Be part of the heat!

article thumbnail

Metadata Management and Data Governance with Cloudera SDX

Cloudera

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control.

article thumbnail

Test Plan in Software Testing: Types and Steps to Create One

Knowledge Hut

Software testing evaluates and demonstrates that a software product or function performs as intended.โ€ฏSoftware Testing trainingโ€ฏhas advantages such as preventing problems, lowering development costs, and improving performance. I understand the importance of test plan in software testing, which outline strategies, goals, timelines, estimates, deliverables, and the necessary resources.

Project 96
article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

article thumbnail

Confluentโ€™s Customer Zero: Building a Real-Time Alerting System With Confluent Cloud and Slack

Confluent

Read how we built a real-time alerting service with Confluent Cloud and Slack to enable our field-facing teams with the data, insights, and suggested actions they need.

Cloud 70
article thumbnail

3 Crucial Challenges in Conversational AI Development and How to Avoid Them

KDnuggets

Developing a conversational AI chatbot requires substantial effort. However, understanding and addressing key challenges in natural language understanding can streamline the development process.

Process 105
article thumbnail

Mastering Airflow Variables

Towards Data Science

The way you retrieve variables from Airflow can impact the performance of your DAGs Continue reading on Towards Data Science ยป

article thumbnail

Announcing the winners of the first Databricks Asia-Pacific LLM Cup!

databricks

We're excited to announce the winners of Databricks' inaugural Asia-Pacific Large Language Model (LLM) Cup, a first-of-its-kind competition in the region, which garnered.

IT 67
article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. Itโ€™s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

article thumbnail

Revolutionizing Telemedicine with Data Streaming

Confluent

Telemedicine services need a reliable, secure, and scalable data infrastructure in order to serve patients. Learn how data streaming with Confluent helps to ensure this.

Data 67
article thumbnail

Top 16 Technical Data Sources for Advanced Data Science Projects

KDnuggets

Here are data repositories that will up your data science game and improve your data projects.

article thumbnail

Customer Engagement Trends for 2024

Precisely

Intensive digitization and the rise of artificial intelligence (AI), an uncertain economic climate, and evolving consumer expectations mean that delivering an outstanding customer experience (CX) is more important than ever. While companies are making progress , 2024 will bring new challenges in meeting rising consumer expectations. Customers expect seamless and personalized experiences that meet them wherever they are in a dynamic, non-linear journey from awareness to purchase to loyalty.

article thumbnail

Data + AI Strategy: People Focus

databricks

This post is part of a series. Check out Part 1: The Data + AI Trifecta: People, Process, and Platform In the current.

Data 79
article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineersโ€™ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.