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

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

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 105

Python Data Analytics Engineering Data 105

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

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

Data Collection

KDnuggets

APRIL 25, 2023

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

SQL 159

SQL 159

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

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

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 84

SQL Machine Learning 84

KDnuggets

APRIL 25, 2023

Implement these tips to improve your MLOps skills and workflows.

110

110

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 87

Data 87

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

Certification

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 57

Manufacturing AWS Cloud Accessible 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 68

Technology 68

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

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 69

High Quality Data IT Data 69

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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?

Data

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 Metadata Algorithm 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 55

Data Analytics Data 55

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

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

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

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

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

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

Towards Data Science

APRIL 25, 2023

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

Data Science 80

Data Science Data Programming Data Engineering 80

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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.

Data Analysis

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