Sat.Jul 09, 2022 - Fri.Jul 15, 2022

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Free Artificial Intelligence And Deep Learning Crash Course

KDnuggets

Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.

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Provoking Consumer-First Analytical Thinking with Drew Smith

Jesse Anderson

My guest this week is Drew Smith , Vice President of Global Data and Analytics at Little Caesars Enterprises and Ilitch Companies. Little Caesars is a pizza franchise that is mainly in the United States. Illitch Companies owns the Detroit Tigers (baseball), Detroit Red Wings (hockey), and several stadiums. Before that, Drew worked at International Institute for Analytics (IIA), an analytics consulting company, and IKEA, the furniture retailer and manufacturer.

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Beyond Data Fabrics: Cloudera Modern Data Architectures

Cloudera

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. It is changing in makeup and appearing in ever more places. Driving insight and value from it all is as much of an opportunity as it is a challenge. As a result, it’s getting ??progressively more complex for businesses to access, use, and create value from it.

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Teradata is Still the Lowest Cost for Enterprise Analytics

Teradata

Teradata provides the lowest cost per query for enterprise-scale analytics. Have your doubts? Then please read on.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Machine Learning Is Not Like Your Brain Part 5: Biological Neurons Can’t Do Summation of Inputs

KDnuggets

See why biological neurons can’t do the most fundamental process of the artificial perceptron, the summation of inputs.

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Maintain Your Data Engineers' Sanity By Embracing Automation

Data Engineering Podcast

Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows. In order to make this a tractable problem it is essential that engineers embrace automation at every opportunity.

More Trending

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Here’s Why 1k+ Business Analysts Fueled Their Learning Journeys With IIM Indore & Jigsaw

U-Next

In a world that creates 1.145 trillion MB of data per day , change is the only constant. With brand new information being seeded every other second, businesses are evolving at the speed of light. Where there’s data, there’s analytics, and thus, the demand for skilled Business Analysts. Data enthusiasts have stumbled across enough facts and figures to know what’s trending and what’s needed to master these trends, which is why over 1,000 learners hit the road to becoming highly sought-after Busine

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Machine Learning Algorithms Explained in Less Than 1 Minute Each

KDnuggets

Learn about some of the most well known machine learning algorithms in less than a minute each.

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Charting the Path of Riskified's Data Platform Journey

Data Engineering Podcast

Summary Building a data platform is a journey, not a destination. Beyond the work of assembling a set of technologies and building integrations across them, there is also the work of growing and organizing a team that can support and benefit from that platform. In this episode Inbar Yogev and Lior Winner share the journey that they and their teams at Riskified have been on for their data platform.

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Strategies for change data capture in dbt

dbt Developer Hub

There are many reasons you, as an analytics engineer, may want to capture the complete version history of data: You’re in an industry with a very high standard for data governance You need to track big OKRs over time to report back to your stakeholders You want to build a window to view history with both forward and backward compatibility These are often high-stakes situations!

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Building Kafka Storage That’s 10x More Scalable and Performant

Confluent

How Confluent built Intelligent Storage, for 10x more scalable and elastic Kafka storage with infinite retention, max cluster uptime, and zero operational burdens.

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Why SQL Will Remain the Data Scientist’s Best Friend

KDnuggets

Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.

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Rethink Shrink | The impact of a bad count

Retail Insight

The supply chain disruptions affecting the UK retail market prompted me to have another think about shrink. There are many elements of retail shrink, or rather their knock-on effects, that are barely discussed and yet they represent a significant opportunity to reduce costs as well as recover the all-important margin. Fixing these problems will in turn deliver a more rounded customer service and help meet ESG objectives that are of growing reputational importance.

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From Aspirations To Inspirations – Journeys Of Product Managers Who Upskilled With IIM Indore And Jigsaw

U-Next

A job profile famous for being among the highest-paying careers, Product Management is a very serious business. It requires the best of the best candidates who are always on their feet, ready to adorn a new hat to fit a new role that the situation demands. It’s almost heroic, the way a product manager functions. Just like you, three highly-energetic product management enthusiasts dreamed a little dream about making it big in this exciting domain.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Data Engineering Annotated Monthly – June 2022

Big Data Tools

Hi, I’m Pasha Finkelshteyn , and I’ll be your guide today through this month’s news. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. If you think I missed something worthwhile, catch me on Twitter and suggest a topic, link, or anything else you want to see. By the way, if you would prefer to get this monthly source of data engineering information delivered straight to your inbox each month, you can subscribe t

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Parallel Processing Large File in Python

KDnuggets

Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent.

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Is dbt a Good Tool for Implementing Data Models?

phData: Data Engineering

Within data engineering , one of the most frequent tasks is modeling data into data marts and data products. Traditionally, if a company wanted to model some data, there were two types of resources available that could accomplish this: data engineers or data analysts. However, the approach that a data engineer would take to model data vs. a data analyst looks very different.

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Your Quest For The Perfect Product Management Course Ends Here

U-Next

Today, much work goes into creating every product we use, whether the kitchenware or the branded watches we wear. Throughout the product life cycle, from product creation to customer service, it needs extra effort and meticulous work to succeed in the market today. Due to the ever-growing product market, businesses have taken it upon themselves to ensure their product establishes their value in the market.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Data Engineering Annotated Monthly – June 2022

Big Data Tools

Hi, I’m Pasha Finkelshteyn , and I’ll be your guide today through this month’s news. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. If you think I missed something worthwhile, catch me on Twitter and suggest a topic, link, or anything else you want to see. By the way, if you would prefer to get this monthly source of data engineering information delivered straight to your inbox each month, you can subscribe t

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Linear Algebra for Data Science

KDnuggets

In this article, we discuss the importance of linear algebra in data science and machine learning.

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Streaming SQL Joins in Rockset

Rockset

Users are increasingly recognizing that data decay and temporal depreciation are major risks for businesses, consequently building solutions with low data latency, schemaless ingestion and fast query performance using SQL, such as provided by Rockset, becomes more essential. Rockset provides the ability to JOIN data across multiple collections using familiar SQL join types, such as INNER , OUTER , LEFT and RIGHT join.

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Why Is The Online Business Analytics Program By IIM-I And Jigsaw Your Highway To Success?

U-Next

Why Do Businesses Need Analytics? Tim Berners-Lee, the inventor of the World Wide Web, once said, “Data is a precious thing, and it will last longer than the systems themselves.” Thirty-three years after the launch of the Web, his words still stand true. In fact, in 2022, data is the new diamond for businesses all across the globe. But, to tell a diamond from a stone, you need a high level of expertise and in-depth knowledge.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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How to Set KPIs for Your Data Team

Monte Carlo

As analytics professionals, we deal in data: serving ad-hoc reports on a minute’s notice, pulling queries for executives, and generally forecasting company performance across a variety of metrics. But how can we be truly successful if we don’t measure our own performance, too? In this article, we discuss six important steps to setting goals for our own data teams, from taking time for exploration to avoiding vanity stats while maintaining a constant pulse on the *actual* needs of the business.

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Why Use k-fold Cross Validation?

KDnuggets

Generalizing things is easy for us humans, however, it can be challenging for Machine Learning models. This is where Cross-Validation comes into the picture.

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DATE_TRUNC SQL function: Why we love it

dbt Developer Hub

In general, data people prefer the more granular over the less granular. Timestamps > dates , daily data > weekly data, etc.; having data at a more granular level always allows you to zoom in. However, you’re likely looking at your data at a somewhat zoomed-out level—weekly, monthly, or even yearly. To do that, you’re going to need a handy dandy function that helps you round out date or time fields.

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Confluent India’s Head of HR: “Working here has helped me grow both professionally and personally as a woman in tech”

Confluent

With Confluent's new Bangalore office, India’s Head of HR shares her experience with Confluent’s team culture, fast growth, personal and career development, and why it’s a great place to work.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Can Someone From Non-IT Background Become A Data Science Professional? Hear It From Jigsawites Who’ve Transformed Into Data Scientists In Just 6 Months!

U-Next

Data Science is only for persons with an IT background. It is a persistent myth that many people believe. Although it is true that some IT professionals seek to advance their skills in analytics, this field is not only open to people with a background in programming and IT. Many successful Data Scientists began their Data Science careers without prior coding knowledge or IT experience.

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Data Preparation and Raw Data in Machine Learning

KDnuggets

In this article, I will describe the data preparation techniques for machine learning.

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What Is a Multi-Cluster Virtual Warehouse in Snowflake Data Platform? | Propel Data Analytics Blog

Propel Data

Multi-cluster virtual warehouses auto-scale compute resources based on the demands on the data warehouse. Here’s how they work in Snowflake.

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DATEDIFF SQL function: Why we love it

dbt Developer Hub

“How long has it been since this customer last ordered with us?” “What is the average number of days to conversion?” Business users will have these questions, data people will have to answer these questions, and the only way to solve them is by calculating the time between two different dates. Luckily, there’s a handy DATEDIFF function that can do that for you.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.