Towards Data Science

JULY 10, 2023

A simple framework for building dbt models that actually get used. When I was researching the Ultimate Guide to dbt , I was shocked by the lack of material around actually building models from scratch. Not the exact steps to take in the tool — that is all covered in innumerable blogs and tutorials. I mean how do you know the right design? How do you make sure your stakeholders will use that model?

Designing 98

Designing Electronics Coding Engineering 98

KDnuggets

JULY 10, 2023

A guide to understanding support vector machines for classification: from theory to scikit-learn implementation.

Machine Learning 78

Machine Learning 78

ArcGIS

JULY 10, 2023

Here is a walk-through for creating spinning globe animations in ArcGIS Pro, like the ones you may have seen in the UC plenary

Designing 75

Designing 75

KDnuggets

JULY 10, 2023

The author discusses several emerging trends in Artificial Intelligence and Deep Learning such as Metaverse and Quantum Computing.

Deep Learning 73

Deep Learning 73

Advertisement

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

Yelp Engineering

JULY 10, 2023

Merging code safely can be quite time consuming for busy repositories. A common method is to test and merge branches serially, and one at a time, in order to ensure the safety of the main branch. However, this method does not scale well when many developers want to merge code at the same time. In this blog post, you’ll see how we’ve sped up code merging at Yelp by creating a batched merge queue system!

Coding 52

Coding Systems 52

Precisely

JULY 10, 2023

Did you join us for Trust ’23: the Precisely Data Integrity Summit? If you were one of the attendees at our annual virtual event in May – thank you! We hope you came away with practical and valuable insights for your data integrity journey. If you couldn’t join us live – not to worry! All keynotes and breakout sessions are now available to watch on-demand at your convenience.

Data Integration 52

Data Integration Data Architecture Government Data 52

Towards Data Science

JULY 10, 2023

Unlocking Advanced Data Analysis in SQL Continue reading on Towards Data Science »

SQL 61

SQL Data Analysis Data Science Data 61

Hevo

JULY 10, 2023

Organizations across all verticals rely on data to make informed business decisions. Drawing meaningful insights from the volumes of data allow businesses to gain a competitive edge over the others on the market and scale their growth.

Data Storage 40

Data Storage Data Data Warehouse Data Integration 40

Picnic Engineering

JULY 10, 2023

At Picnic, we dream of being the best milkman on earth. While we believe we still have a long way to go, we’re definitely on our way: Picnic was recently awarded the titles of ‘the most satisfied customers’ (Supermarkt & Ruimte 2023), the most customer-friendly supermarket (MarketResponse 2023), and ‘the best online supermarket’ (GfK: E-Commerce in FMCG Formulerapport 2023).

Designing 40

Designing Project Cloud Accessible 40

Monte Carlo

JULY 10, 2023

Making decisions based on incomplete data is like baking a cake with missing ingredients: not a good idea. You may have the right information on how much butter, sugar, and eggs to add to your batter. But if you don’t realize that the recipe writer omitted flour, you’ll end up with a soupy mess that barely resembles a cake. The same is true with data.

Data Collection 40

Data Collection Data Governance Government Data Validation 40

Advertisement

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

Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. With this new Snowpark capability, data engineers and data scientists can process any type of file directly in Snowflake, regardless if files are stored in Snowflake-managed storage or externally.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Striim

JULY 10, 2023

Striim may be pronounced stream, however the way Striim streams data is more than just classic streaming. ‘ Striiming ’ data ensures that the anytime, ever-changing story from data, is perpetually told. This story, is “Real-Time”. HOW FAR HAVE WE COME? In 1689 Newton, in his 3rd law, observed that every action has a reaction. Apple falling on head = Ouch!

Medical 40

Medical Machine Learning Data Lake Algorithm 40

KDnuggets

JULY 10, 2023

And discover how you can maximize your earnings with AI.

54

54

Striim

JULY 10, 2023

A Comprehensive Guide to Migrating On-Premise Oracle Data to Databricks Unity Catalog with Python and Databricks Notebook In today’s data-driven world, businesses are constantly seeking ways to enhance data accessibility and accelerate analytics workflows. In this comprehensive guide, we will explore how to seamlessly bring data from an on-premise Oracle database to Databricks Unity Catalog using the powerful combination of Databricks Notebook and Python.

Python 40

Python Database Programming Language Coding 40

Advertisement

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

JULY 10, 2023

When managing a project, what would you do: Hard work or Smart work? In a market where time is running, and trends are raging, you need an assortment of resources to grow your business. However, tasks like managing day-to-day operations, collaborating with the team, handling invoices and allocating resources can burden your shoulders. And you may end up wishing there were more hours in a day!

Management 52

Management Retail Project Programming 52

Zalando Engineering

JULY 10, 2023

Welcome back to our web platform blog series! It's been a while since we last talked about our approach to large-scale front-end development at Zalando. We are excited now to reconnect and share with you some substantial enhancements we've made to the streaming and rendering architecture of our Rendering Engine framework. The first post of this new series will recap how Rendering Engine works, its relationship with Concurrent React, and our journey with it including design and implementation cha

Engineering 40

Engineering Architecture Coding Utilities 40

Snowflake

JULY 10, 2023

Snowflake Native Apps introduce a new model for cloud-based software. To buy and use a traditional SaaS app, a business has to go through lengthy evaluations and verify that the application builder adhered to their standards of data security. This is a critical step because the application is processing data that belongs to the customer, and in order for the customer to use the app, the customer’s data must either be moved to where the application runs, or the application must collect or produce

Entertainment 58

Entertainment Government Retail Healthcare 58

Databand.ai

JULY 10, 2023

Observability Platforms: 8 Key Capabilities and 6 Notable Solutions Eitan Chazbani July 10, 2023 What Is an Observability Platform? Observability platforms gather, examine, and display telemetry data from various sources like logs, metrics, and trace data. By offering a comprehensive view of system performance and user experience, these platforms enable teams to proactively identify issues and enhance application performance.

Data Pipeline 52

Data Pipeline Algorithm Raw Data Aggregated Data 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

AltexSoft

JULY 10, 2023

Imagine walking through an art exhibition at the renowned Gagosian Gallery , where paintings seem to be a blend of surrealism and lifelike accuracy. One particular piece catches your eye: it depicts a child staring at the viewer with wind-tossed hair, evoking the feel of the Victorian era through its coloring and what appears to be a simple linen dress.

Medical 64

Medical Datasets Algorithm Entertainment 64