Wed.Oct 25, 2023

article thumbnail

6 Steps to Avoid Messy Data in Your Warehouse

Start Data Engineering

1. Introduction 2. Six Steps for a Clean Data Warehouse 2.1. Understand the business 2.2. Make data easy to use with the appropriate data model 2.3. Good input data is necessary for a good data warehouse 2.4. Define Source of Truth (SOT) and trace its usage 2.5. Keep stakeholders in the loop for a more significant impact 2.6. Watch out for org-level red flags ?

article thumbnail

5 Free Books to Master Machine Learning

KDnuggets

Machine Learning is one of the most exciting fields in computer science today. In this article, we will take a look at the five best yet free books to learn machine learning in 2023.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Date and DateTime Manipulation in Polars

Confessions of a Data Guy

One thing all Data Engineers are doomed to do in purgatory will be to solve different date and datetime problems in an endless loop. I’m sure of it. I can’t imagine anything worse, so that must be it. Either way the constant need to manipulate dates and datetimes are just a way of life, something […] The post Date and DateTime Manipulation in Polars appeared first on Confessions of a Data Guy.

article thumbnail

The Top 5 Cloud Machine Learning Platforms & Tools

KDnuggets

What are the top 5 cloud machine learning platforms in the market today. Our list will help provide some vital insights into which platform might best cater to your specific machine learning needs. See what KDnuggets recommends.

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

Introducing Predictive Optimization: Faster Queries, Cheaper Storage, No Sweat

databricks

Predictive Optimization intelligently optimizes your Lakehouse table data layouts for peak performance and cost-efficiency - without you needing to lift a finger.

Data 114
article thumbnail

Windows on Snapdragon Brings Hybrid AI to Apps at the Edge

KDnuggets

Let’s take a closer look at Hybrid AI, how you can take advantage of it, and how Snapdragon brings hybrid AI to apps at the edge.

IT 118

More Trending

article thumbnail

How Providence Health Built a Model marketplace using Databricks?

databricks

Providence's MLOps Platform Providence is a healthcare organization with 120,000 caregivers serving over 50 hospitals and 1,000 clinics across seven states. Providence is.

article thumbnail

Mastering the Data Universe: Key Steps to a Thriving Data Science Career

KDnuggets

This article covered the six main pillars of a data science career from learning skills to getting a job.

article thumbnail

Announcing GA of Predictive I/O for Updates: Faster DML Queries, Right Out of the Box

databricks

Announcing GA of Predictive I/O for Updates, which harnesses Photon and AI atop Deletion Vectors in order to significantly speed up MERGE, UPDATE and DELETE operations.

84
article thumbnail

3 Questions Marketers Should Ask When Evaluating AI Solutions

Snowflake

AI. It’s on everyone’s mind—and marketers are no exception. You’ve likely heard about it from co-workers, vendors and peers, and if you had a nickel for every AI mention you heard … well, you get the point. With the release of ChatGPT late last year, OpenAI supercharged the conversation around large language models (LLMs), marking 2023 as “the year of AI.

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

Apache Kafka Troubleshooting Doesn’t Need to Be Scary: Essential Resources for Developers

Confluent

Debugging Apache Kafka® issues shouldn’t send shivers down your spine. Explore the latest blog posts, on-demand videos, and demos on Kafka troubleshooting to ease your fears.

Kafka 76
article thumbnail

#Cloudera Life Employee Spotlight: Joel Martinez

Cloudera

As Hispanic Heritage Month draws to a close, we wanted to conclude the celebration with an employee spotlight featuring the new lead for the Cloudera Latin X, Employee Resource Group (ERG), Joel Martinez. We talked with Joel about his career in sales, growing up in High Point, North Carolina, and his continued rediscovery of his Hispanic heritage with his move to Austin, Texas where he currently resides.

article thumbnail

Windows on Snapdragon Brings Hybrid AI to Apps at the Edge

KDnuggets

Let’s take a closer look at Hybrid AI, how you can take advantage of it, and how Snapdragon brings hybrid AI to apps at the edge.

IT 79
article thumbnail

The State of Data Engineering in 2023: Does Your Data Program Stack Up?

Ascend.io

Data teams are consistently challenged by a rapidly evolving technological landscape and escalating demands. To navigate this environment, staying attuned isn’t just beneficial — it’s a necessity. This means not only understanding where you stand, but also recognizing how the evolving patterns in the broader industry might align with or diverge from your own data programs.

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

Release Train Engineer Salary in 2023 [Freshers to Experienced]

Knowledge Hut

A Release Train Engineer (RTE) is a pivotal figure in the realm of Agile development, holding the mantle of both a servant leader and an Agile Release Trains (ART) coach. They shoulder the responsibility of orchestrating ART events and processes, ensuring that teams consistently deliver value. Often referred to as Chief Scrum Masters or Super Scrum Masters, they possess a deep-seated expertise in guiding and mentoring team members through the scrum framework.

article thumbnail

SERVE the Force

Elder Research

A light-hearted look at the Jedi and Sith relationship from Star Wars through the lens of Elder Research’s SERVE model.

59
article thumbnail

6 Questions Companies Ask Us About Discovery.

Mutt Data

Common Questions When it comes to discoveries many companies have questions for us. Luckily we have answers! After reading this post you’ll be able to answer the following questions: What Is A Discovery Process? Why Should We Carry Out A Discovery Process? What Deliverables Can We Expect From Our Discovery? How Long Does A Discovery Take? What happens if we already have a clear project idea?

article thumbnail

nixtract 0.1.0

Tweag

Tweag is excited to announce the first release of nixtract 0.1.0 ! This is our first step towards a broader effort to make Nix the best tool to tackle tomorrow’s challenges of the Software Supply Chain. In order to understand why we need nixtract , let me tell you about the “secret” value of Nixpkgs. Is it a bird? A plane? It’s a graph! The Nix language allows you to define the “recipe” to build anything into a package, like the sources and the steps to make the package, but also the dependencie

Metadata 112
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

Cloudera and AMD Spur Data Scientists to Take Climate Action

Cloudera

The world faces multiple environmental sustainability challenges — from the climate crisis and water scarcity to food production and urban resilience. Overcoming these hurdles offers opportunities for innovation through technology and artificial intelligence. That’s why Cloudera and AMD have partnered to host the Climate and Sustainability Hackathon.

Food 96