Seattle Data Guy

SEPTEMBER 13, 2023

Success in the data world hinges on team setup. I’ve delved into onboarding and standards in previous articles, but never into the structure of data teams. Typically, there are three configurations: Centralized, Decentralized, and Federated. Most companies I’ve seen use a mix of these. While the newest tech breakthroughs grab headlines, team organization is the… Read more The post How To Set Up Your Data Analytics Team For Success – Centralized vs Decentralized vs Federat

Data Analytics 130

Data Analytics Data 130

KDnuggets

SEPTEMBER 13, 2023

This blog strikes a comparison between open-source and closed-source image annotation tools and how it makes the life of AI model developers easy and convenient.

IT 113

IT 113

databricks

SEPTEMBER 13, 2023

As data enthusiasts, we love uncovering stories in datasets. With Posit’s RStudio Desktop and Databricks Lakehouse, you can analyze data with dplyr, create i.

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Datasets Data 97

KDnuggets

SEPTEMBER 13, 2023

Getting Started with SQL in 5 Steps • Introduction to Databases in Data Science • Time 100 AI: The Most Influential?

Data Science 133

Data Science SQL Database Data 133

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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

Snowflake

SEPTEMBER 13, 2023

Building your data product is only the beginning. You’ve considered a wide variety of use cases, and settled on the one you’ll focus on. Maybe you’re going to help hospitals predict emergency room visits and optimize their staffing. Or you’re going to enable restaurants to reduce their food waste. Or maybe you just have some really unique data that you think might be of use to someone.

Food 102

Food Retail Hospitality Data 102

KDnuggets

SEPTEMBER 13, 2023

KDnuggets, along with The All Things Insights Survey Committee and its partners, have created a Spend & Trends survey to provide you and your colleagues in our community with much needed benchmarking information on mindset and focus trends as well as budget and technology spend.

Data Science 91

Data Science Technology Data IT 91

LinkedIn Engineering

SEPTEMBER 13, 2023

Lekshmy has always been interested in a role in a company that would allow her to use her people skills and engineering background to help others. Working as a software engineer at various companies led her to hear about the company culture at LinkedIn. After some focused networking, Lekshmy landed her position at LinkedIn and has been continuing to excel ever since.

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Software Engineer Software Engineering Computer Science Programming 80

KDnuggets

SEPTEMBER 13, 2023

As you progress in your data science journey, here are the elementary statistics you should know.

Python 98

Python Data Science Data 98

Snowflake

SEPTEMBER 13, 2023

In August, Snowflake released new features around Snowpark for Python, DevOps, pipeline replication, and more. Read on to learn more about the full set of features that were just announced. Snowpark Python Updates Snowpark support for Python 3.9 and 3.10 – general availability Python versions 3.9 and 3.10 in Snowpark are now generally available, including support for UDFs , UDTFs, and stored procedures.

Python 79

Python SQL Data Pipeline Data Ingestion 79

Confluent

SEPTEMBER 13, 2023

Event-driven microservice architecture transforms the way this service marketplace connects customers and tradespeople with jobs, scheduling, payments, and more.

Building 73

Building Cloud Architecture 73

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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

databricks

SEPTEMBER 13, 2023

As data enthusiasts, we love uncovering stories in datasets. With Posit's RStudio Desktop and Databricks, you can analyze data with dplyr, create impressive.

Datasets 68

Datasets Data 68

Cloudyard

SEPTEMBER 13, 2023

Read Time: 3 Minute, 2 Second In continuation of my previous Dynamic Tables post, let’s delve into the implementation of SCD2 using Dynamic Tables. I’ve come across several posts suggesting that Dynamic Tables (DT) are excellent replacements for streams and an effective way to implement SCD2. Out of curiosity, I wanted to explore how DT tables ensure the preservation of historical data by creating a new record for each change.

Datasets 52

Datasets Process Data IT 52

databricks

SEPTEMBER 13, 2023

The opportunity for machine learning and AI in manufacturing is immense. From better alignment of production with consumer demand to improved process control.

Manufacturing 63

Manufacturing Machine Learning Process 63

Monte Carlo

SEPTEMBER 13, 2023

For the second consecutive quarter, Monte Carlo was named the #1 Data Observability Platform by product review site G2. And since G2 is powered by real user feedback and ratings, based on their day-to-day experience, this recognition is especially gratifying. Our teams work hard to provide great experiences and improve real business outcomes, so we’re thrilled that our customers’ reviews earned us 14 Fall 2023 Awards , including Easiest to Do Business With, Most Implementable, and Best Estimated

AWS 52

AWS Education Database Data Pipeline 52

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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

Hepta Analytics

SEPTEMBER 13, 2023

Emelyne (pictured below) works as a tour operator for Skywide Tours in Rwanda. As a tour operator, she regularly finds herself needing to pay for game park fees, hotels, and city tour transportation services on behalf of her tourist clients. Most of her clients, however, pay her in foreign currency. In order to transact, she has to convert the foreign currency into local currency from a faraway forex bureau.

Transportation 52

Transportation Banking IT 52

Cloudera

SEPTEMBER 13, 2023

The post Revolutionize your data experience with Cloudera on private cloud appeared first on Cloudera Blog.

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Cloud Data 58

Snowflake

SEPTEMBER 13, 2023

Snowflake and Salesforce have built on our existing partnership to unify the full breadth of customer and business data and generate actionable insights for our customers. We are happy to announce the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. Organizations can now leverage Salesforce data directly in Snowflake via zero-ETL data sharing to accelerate decision-making and help streamline business processes.

Finance 108

Finance AWS Accessible Accessibility 108

AltexSoft

SEPTEMBER 13, 2023

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” It points out the critical role that data quality plays in the outcomes you get from these algorithms. Watch our video about data preparation for ML tasks to learn more about this. This idea is also important when working with Generative AI models — whether they produce text, code, or images.

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Engineering Hospitality Transportation Algorithm 59

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

ThoughtSpot

SEPTEMBER 13, 2023

Semantic layers are a game changer, allowing organizations to define metrics and business logic in one, centralized location. Because business users can trust that their data is built on a single source of truth, the semantic layer also empowers self-service analytics. Looker Modeler has become a leader among semantic layers, allowing users to seamlessly layer on top of their business data.

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BI Google Cloud Data Governance Business Intelligence 80