KDnuggets

APRIL 25, 2023

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 108

Python Data Analytics Engineering Data 108

Knowledge Hut

APRIL 25, 2023

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.

Utilities 98

Utilities Project Certification Process 98

KDnuggets

APRIL 25, 2023

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

SQL 160

SQL 160

Lyft Engineering

APRIL 25, 2023

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 75

Systems Building Machine Learning Datasets 75

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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.

Database

KDnuggets

APRIL 25, 2023

Let’s go over what the Stanford Institute for Human-Centered Artificial Intelligence (HAI) found out about Artificial intelligence.

103

103

databricks

APRIL 25, 2023

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 86

SQL Machine Learning 86

databricks

APRIL 25, 2023

Generative AI has been taking the world by storm. As the data and AI company, we have been on this journey with the.

Data 89

Data 89

Confluent

APRIL 25, 2023

Explore the various types of message delivery guarantees including at most once, at least once, and exactly once delivery through the example of teleportation.

Process 57

Process 57

databricks

APRIL 25, 2023

Previously, we’ve shown you how a new technology called Predictive I/O could improve selective reads by up to 35x for CDW customers without a.

Technology 71

Technology 71

dbt Developer Hub

APRIL 25, 2023

Hello, my dear data people. If you haven’t read Nick & Roxi’s blog post about what’s coming in the future of the dbt Semantic Layer , I highly recommend you read through that, as it gives helpful context around what the future holds. With that said, it has come time for us to bid adieu to our beloved dbt_metrics package. Upon the release of dbt-core v1.6 in late July, we will be deprecating support for the dbt_metrics package.

Data Warehouse 52

Data Warehouse SQL Python Data Analytics 52

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.

Certification

databricks

APRIL 25, 2023

What is data linking and why does it matter? Availability of more, high quality data is a critical enabler for better decision making.

High Quality Data 71

High Quality Data IT Data 71

Preset

APRIL 25, 2023

Addressing a recent security vulnerability (CVE) to help open-source installations of Superset check their status and mitigate risks. Preset customers are safe, but we aim to help everyone better understand what happened and how these issues are handled.

52

52

databricks

APRIL 25, 2023

Databricks continues to lead the industry in providing the best out-of-the-box price-performance for running data analytics workloads. Today, we are excited to announce.

Data Analytics 56

Data Analytics Data 56

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! Data engineers add meaning to the data for companies, be it by designing infrastructure or developing algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

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.

Data Science

know.bi

APRIL 25, 2023

In any data engineering project, there are lots of use cases where you'll want the same process to run multiple times, e.g. to loop over a number of folders, run for every available month in a data range etc. Apache Hop offers multiple ways to loop over the same workflow or pipeline. Let's take a closer look at the different options.

Data Engineering 52

Data Engineering Data Engineer Engineering Project 52

Knowledge Hut

APRIL 25, 2023

With the rise in the job demand for product owners, more and more companies are looking out for Agile professionals. Product owners are responsible for end-to-end management and help in the strategy, implementation and continuous improvement of the deliverable. Organisations look for flexibility in the changing business needs and this is where product owner comes into the picture.

Recruitment 52

Recruitment Education Certification Computer Science 52

Towards Data Science

APRIL 25, 2023

Fixing the pandas error when attempting to append DataFrames with version 2.

Data Science 79

Data Science Data Programming Data Engineering 79

LinkedIn Engineering

APRIL 25, 2023

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.

Architecture 109

Architecture Metadata Java Transportation 109

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ 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.

Engineering

Confessions of a Data Guy

APRIL 25, 2023

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

Data 130

Knowledge Hut

APRIL 25, 2023

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

Architecture 97

Architecture Designing Project Coding 97

Monte Carlo

APRIL 25, 2023

Struggling with data quality? You’re not alone. But how should you get started? We walk through the three most common approaches and their tradeoffs. When it comes to making your data more reliable at scale, there are a few routes you can take: (1) test your most critical pipelines and hope for the best, (2) automated data quality monitoring, (3) end-to-end data observability.

Data Pipeline 52

Data Pipeline Data Algorithm Metadata 52

Knowledge Hut

APRIL 25, 2023

An end-to-end Data Science pipeline starts from business discussion to delivering the product to the customers. One of the key components of this pipeline is Data ingestion. It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., into a single master source which is then processed and analyzed further down the pipeline.

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Kafka 52

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. It’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.

Building

Snowflake

APRIL 25, 2023

In its quest to digitize drug discovery and manufacturing, Pfizer uses Snowflake to ultimately improve patient outcomes, reimagine clinical trials through robotics and automation, and perform predictive analytics for diagnosis and supply chain tracking. As a global company with teams located across the Americas, Europe, and Asia, Pfizer views data as playing a critical role in every aspect of its operations, from research and development to manufacturing and distribution.

Manufacturing 54

Manufacturing AWS Cloud Accessible 54