Jesse Anderson

JULY 12, 2022

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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KDnuggets

JULY 15, 2022

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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SQL Big Data Machine Learning Data Analytics 159

Data Engineering Podcast

JULY 10, 2022

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.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Cloudera

JULY 11, 2022

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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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?

Business Intelligence

U-Next

JULY 13, 2022

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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Business Analyst Programming Python SQL 97

KDnuggets

JULY 14, 2022

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

Deep Learning 160

Deep Learning 160

Cloudera

JULY 13, 2022

In this article we discuss the various methods to replicate HBase data and explore why Replication Manager is the best choice for the job with the help of a use case. Cloudera Replication Manager is a key Cloudera Data Platform (CDP) service, designed to copy and migrate data between environments and infrastructures across hybrid clouds. The service provides simple, easy-to-use, and feature-rich data movement capability to deliver data and metadata where it is needed, and has secure data backup

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Management AWS Database Cloud 90

Teradata

JULY 14, 2022

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

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KDnuggets

JULY 11, 2022

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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Machine Learning IT 156

dbt Developer Hub

JULY 13, 2022

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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Electronics BI Raw Data Manufacturing 59

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

Data

Confluent

JULY 12, 2022

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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Kafka Building Cloud 59

Retail Insight

JULY 15, 2022

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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KDnuggets

JULY 14, 2022

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

Machine Learning 160

Machine Learning Process 160

U-Next

JULY 15, 2022

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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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.

Manufacturing

Big Data Tools

JULY 13, 2022

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

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

dbt Developer Hub

JULY 12, 2022

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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SQL IT Data Warehouse BI 52

KDnuggets

JULY 15, 2022

How can you showcase your data scientist skills and abilities? The answer to this question is online platforms where you can publish your portfolio and seize opportunities.

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Portfolio Data Science Data 136

U-Next

JULY 13, 2022

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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Management Media Programming Certification 52

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Systems

Big Data Tools

JULY 13, 2022

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

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

phData: Data Engineering

JULY 12, 2022

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.

Data Engineering 52

Data Engineering Data Engineer SQL Data 52

KDnuggets

JULY 15, 2022

Logistic regression is a machine learning classification algorithm that is used to predict the probability of certain classes based on some dependent variables.

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Machine Learning Algorithm 138

U-Next

JULY 13, 2022

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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Programming Business Analyst Business Intelligence Data Analytics 52

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Project

Rockset

JULY 12, 2022

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.

SQL 52

SQL AWS Datasets Raw Data 52

Monte Carlo

JULY 12, 2022

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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KDnuggets

JULY 13, 2022

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

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Process Python Data Process Data 159

Confluent

JULY 12, 2022

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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Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

Business Intelligence

U-Next

JULY 15, 2022

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.

Data Science 40

Data Science IT Hadoop Programming 40

dbt Developer Hub

JULY 12, 2022

“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.

SQL 40

SQL IT Data Warehouse Database 40

KDnuggets

JULY 14, 2022

In this blog, we will aim at discussing the reasons that make MLOps an essential aspect of pushing AI mainstream. Besides, we will highlight the capabilities of MLOps as a catalyst for AI implementation.

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Propel Data

JULY 14, 2022

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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Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

Government