Sat.Sep 03, 2022 - Fri.Sep 09, 2022

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SQL vs NoSQL: 7 Key Takeaways

KDnuggets

People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.

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A Reflection On Data Observability As It Reaches Broader Adoption

Data Engineering Podcast

Summary Data observability is a product category that has seen massive growth and adoption in recent years. Monte Carlo is in the vanguard of companies who have been enabling data teams to observe and understand their complex data systems. In this episode founders Barr Moses and Lior Gavish rejoin the show to reflect on the evolution and adoption of data observability technologies and the capabilities that are being introduced as the broader ecosystem adopts the practices.

IT 100
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Large Scale Industrialization Key to Open Source Innovation

Cloudera

We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers. Cloudera has been parlaying those patterns into clear wins for the community at large and, more importantly, streamlining the benefits of that innovation to

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KonMari your data: Planning a query migration using the Marie Kondo method

dbt Developer Hub

If you’ve ever heard of Marie Kondo, you’ll know she has an incredibly soothing and meditative method to tidying up physical spaces. Her KonMari Method is about categorizing, discarding unnecessary items, and building a sustainable system for keeping stuff. As an analytics engineer at your company, doesn’t that last sentence describe your job perfectly?!

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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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Visualizing Your Confusion Matrix in Scikit-learn

KDnuggets

Defining model evaluation metrics is crucial in ensuring that the model performs precisely for the purpose it is built. Confusion Matrix is one of the most popular and effective tools to evaluate the performance of the trained ML model. In this post, you will learn how to visualize the confusion matrix and interpret its output.

IT 145
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Introduce Climate Analytics Into Your Data Platform Without The Heavy Lifting Using Sust Global

Data Engineering Podcast

Summary The global climate impacts everyone, and the rate of change introduces many questions that businesses need to consider. Getting answers to those questions is challenging, because the climate is a multidimensional and constantly evolving system. Sust Global was created to provide curated data sets for organizations to be able to analyze climate information in the context of their business needs.

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Asking the Experts: 3 Reasons for Data Pros to Attend Current 2022

Confluent

Data streaming, analytics, and integration are at the backbone of every real-time application. Here are 3 reasons to attend Current this Oct. 2022.

Data 59
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Machine Learning Algorithms – What, Why, and How?

KDnuggets

This post explains why and when you need machine learning and concludes by listing the key considerations for choosing the correct machine learning algorithm.

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How to analyze and resolve data pipeline incidents in Databand

Databand.ai

How to analyze and resolve data pipeline incidents in Databand Niv Sluzki 2022-09-09 13:00:12 A data pipeline failure can cripple your downstream data flows. Whether it failed to start or quit unexpectedly, you need to know immediately if there is a pipeline incident. In this blog, we’re going to walk through how to analyze a failed Airflow pipeline and pinpoint the root cause of your data incidents.

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Modern Data Architecture for Telecommunications

Cloudera

In the wake of the disruption caused by the world’s turbulence over the past few years , the telecommunications industry has come out reasonably unscathed. There remain challenges in workforce management, particularly in call centers, and order backlogs for fiber broadband and other physical infrastructure are being worked through. But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. .

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

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.

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Internal services pipeline in Analytics Platform

Picnic Engineering

We continue our story on the Analytics Platform setup in Picnic. In the “Picnic Analytics Platform: Migration from AWS Kinesis to Confluent Cloud” we described why and how we migrated from AWS Kinesis to Confluent Cloud. This time we will dive into how we configure our internal services pipeline. Quick re-cap: the purpose of the internal pipeline is to deliver data from dozens of Picnic back-end services such as warehousing, machine learning models, customers and order status updates.

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How to build a model to find the most impactful paths in user journeys

KDnuggets

In this how-to, we’ll build a model to uncover which paths in user journeys have the biggest impact on product goals (e.g. conversion). You can use it to improve products or optimize marketing campaigns, or as a base for deeper user behavior analyses.

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Product Manager Detailed Role Description And Industry Best Practices

U-Next

Introduction . We all know that a Product Manager is one of the well-reputed, in-demand, and high-paying jobs in today’s world. However, the Product Manager’s detailed role description s are not always well-defined despite being a vital position in a company. Many of us know basic details, such as Product Manager salary range, skills, etc., but are unaware of real-life work experience.

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New Practices in Data Governance and Data Fabric for Telecommunications

Cloudera

“There are some unique challenges introduced by the requirement to govern data across a mixture of public cloud and on-premise data resources, ” according to the latest whitepaper published by the TM Forum , as “ their different characteristics require an awareness at the governance level in order to maintain cost, residency, performance, accessibility, and other objectives.” .

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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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Real-Time Database Streaming with Confluent and Amazon Aurora

Confluent

Aurora’s modern relational database and Confluent’s database streaming services offer real-time hybrid/multicloud data pipelines and streaming ETL for cloud-native agility, elasticity, and cost efficiency.

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Free Python for Data Science Course

KDnuggets

Ready to learn how to use Python for data science? This free course has got you covered!

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Effective Ways To Draft A Surefire Sales Strategy For A Business

U-Next

Introduction . Willing to know how to leverage the sales strategy program for your own business? Whether a business is involved in a B2B sales strategy, an inbound or outbound strategy, a small to medium business (SMB), or an enterprise, a reliable source of revenue is essential for the company to survive. A reliable revenue stream is achieved by aligning specific sales activities with solid, thoughtful, and data-supported objectives that are in line with the company’s long-term goals.

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Implementing Kafka in the Payments PCI World

Afterpay Tech

Photo by Leon S on Unsplash By: Jing Li Summary This article articulates the challenges, innovation and success of the Kafka implementation in Afterpay’s Global Payments Platform in the PCI zone. To satisfy the PCI DSS requirements, we decided to use AWS PrivateLink together with custom Kafka client libraries (producer & consumer) to form the solutions for the Payments Platform.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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You Can’t Out-Architect Bad Data?

Monte Carlo

Say it with me: bad data is inevitable. It doesn’t care about how proactive you are at writing dbt tests, how perfectly your data is modeled, or how robust your architecture is. The possibility of a major data incident (Null value? Errant schema change? Failed model?) that reverberates across the company is always lurking around the corner. That’s not to say things like data testing, validation, data contracts , domain-driven data ownership, and data diffing don’t play a role in reducing data in

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Everything You Need to Know About Data Lakehouses

KDnuggets

Learn everything you need to know about data lakehouses.

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What Is Product Backlog? Elaborate Its Characteristics and Importance

U-Next

Introduction to Product Backlog . A properly-prioritized product backlog was created to facilitate planning for iterations and releases as well as to announce all of the projects that product teams plan to work on. In product management, a rational list of potential requirements for the finished product is known as the product backlog. Scrum and Agile development methodologies generally include product backlogs as a crucial element.

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Leave Apache Kafka Reliability Worries Behind with Confluent Cloud’s 10x Resiliency

Confluent

As mission-critical data infrastructure, Apache Kafka’s resiliency is non-negotiable. Learn how Confluent Cloud builds 10x higher resilience into its cloud-native services.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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.

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Leverage Accounting Principles when Modeling Financial Data

dbt Developer Hub

Analyzing financial data is rarely ever “fun.” In particular, generating and analyzing financial statement data can be extremely difficult and leaves little room for error. If you've ever had the misfortune of having to generate financial reports for multiple systems, then you will understand how incredibly frustrating it is to reinvent the wheel each time.

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Everything You’ve Ever Wanted to Know About Machine Learning

KDnuggets

Putting the fun in fundamentals! A collection of short videos to amuse beginners and experts alike.

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Key Features of Business Intelligence Dashboard

U-Next

Introduction . As data generation and consumption continue to soar, Business Intelligence (BI) has become more relevant in this digital world. With the data generation of more than 2.5 quintillion bytes daily , the significance of Big Data and Data Analytics can be recognized. Most business organizations are motivated to transform into data-driven companies irrespective of their size.

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New Feature Recap: Data Lakehouse Support, Anomalous Row Distribution Monitors, and More! 

Monte Carlo

Our biggest priority at Monte Carlo is to make the lives of our customers easier by reducing data downtime and helping them accelerate the adoption of reliable data at their companies. As part of this mission, Monte Carlo’s product, engineering, design, and data science teams are constantly releasing new product functionalities and features to improve the user experience and reduce time to detection, resolution, and prevention of broken data pipelines.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

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.

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Arranging a Suite of Analytics for Hotel Data

Elder Research

The post Arranging a Suite of Analytics for Hotel Data appeared first on Elder Research.

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Convert Text Documents to a TF-IDF Matrix with tfidfvectorizer

KDnuggets

Convert text documents to vectors using TF-IDF vectorizer for topic extraction, clustering, and classification.

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Importance Of Employee Data Management In HRM

U-Next

Introduction . Employee database software is quickly becoming a must-have for HR and people managers. After all, a company’s biggest asset is its workforce. Companies can achieve new heights with the right management and administration tools. A firm can benefit immensely from maintaining accurate and clean employee data, as it is still a difficult task. .

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How to Make Data Anomaly Resolution Less Cartoonish

Monte Carlo

You know that cartoon trope where a leak springs in the dike and the character quickly plugs it with a finger, only to find another leak has sprung that needs to be plugged, and so on until there are no more fingers or the entire dam bursts? Data engineers know that feeling all too well. Anomalies spring up, a member of the data team is assigned to resolve it, but the root cause analysis process takes so long that by the time everything is fixed, another three leaks have sprung and there are no

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

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.