Mon.Feb 12, 2024

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Why Your Team Needs To Implement Data Quality For Your AI Strategy

Seattle Data Guy

Companies that range from start-ups to enterprises are looking to implement AI and ML into their data strategy. With that it’s important not to forget about data quality. Regardless of how fancy or sophisticated a company’s AI model might be, poor data quality will break it. It will make the outputs of these models useless… Read more The post Why Your Team Needs To Implement Data Quality For Your AI Strategy appeared first on Seattle Data Guy.

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Synthetic Data for Machine Learning

KDnuggets

You don't always have high-quality labeled datasets for supervised machine learning. Learn about why you should augment your real data with synthetic data as well as the ways to generate it.

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Meta loves Python

Engineering at Meta

By now you’re already aware that Python 3.12 has been released. But did you know that several of its new features were developed by Meta ? Meta engineer Pascal Hartig ( @passy ) is joined on the Meta Tech Podcast by Itamar Oren and Carl Meyer, two software engineers at Meta, to discuss their teams’ contributions to the latest Python release, including new hooks that allow for custom JITs like Cinder , Immortal Objects , improvements to the type system, faster comprehensions, and more.

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Free Data Engineering Course for Beginners

KDnuggets

Interested in data engineering but don't know where to start? Get up to speed in data engineering fundamentals with this free course.

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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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Apache Beam: Data Processing, Data Pipelines, Dataflow and Flex Templates

Towards Data Science

In this first article, we’re exploring Apache Beam, from a simple pipeline to a more complicated one, using GCP Dataflow.

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Learn Data Science on a Budget

KDnuggets

This blog will go through platforms and courses you can take that will get you from 0-100 on your data science knowledge.

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Solving Complex Telecom Challenges with Data Governance and Location Analytics

Precisely

The competition for subscribers is fierce. Telcos constantly seek innovative new ways to gain market share, increase efficiency, improve service, and optimize network investments. For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years.

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Column-Level Lineage, Model Performance, and Recommendations: ship trusted data products with dbt Explorer

dbt Developer Hub

What’s in a data platform? ​ Raising a dbt project is hard work. We, as data professionals, have poured ourselves into raising happy healthy data products, and we should be proud of the insights they’ve driven. It certainly wasn’t without its challenges though — we remember the terrible twos, where we worked hard to just get the platform to walk straight.

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DNS Zone Setup Best Practices on Azure

Cloudera

In Cloudera deployments on public cloud, one of the key configuration elements is the DNS. Get it wrong and your deployment may become wholly unusable with users unable to access and use the Cloudera data services. If the DNS is set up less ideal than it could be, connectivity and performance issues may arise. In this blog, we’ll take you through our tried and tested best practices for setting up your DNS for use with Cloudera on Azure.

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Snowflake Cloning Facts

Cloudyard

Read Time: 2 Minute, 26 Second During this post we are going to discuss some interesting facts about cloning. As we know Snowflake’s Zero Copy Cloning feature offers a fast and straightforward method to duplicate tables, schemas, or entire databases. Importantly, this process incurs no extra costs, as the created copy utilizes the same underlying storage as the original object.

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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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Scrum Master vs Project Manager: Key Differences Explained

Edureka

Although a project manager and a scrum master might seem like newcomers in the IT sector, they are very different when it comes to team dynamics and leadership styles. The main differences are in their approaches and the way they lead and mentor their teams through the challenges of development and project management. Table of Contents: What is a scrum master?

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Transforming Data Architecture through Data Mesh and Striim

Striim

There is a large amount of complex data that traditional data systems are not equipped to handle. However, the development of Data Mesh and the advanced capabilities of Striim represent a significant change towards a smarter and more flexible approach to organizing data. This addresses the challenges presented by modern data networks and offers many benefits for companies in various industries.

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A Completed Guide to What is Work Breakdown Structure (WBS) in Project Management?

Edureka

The work breakdown structure (WBS) in project management is like breaking down the entire project into smaller, more manageable parts, just like a project roadmap. It’s a visual tool that helps teams understand and organize the tasks in order to complete the project. WBS is a hierarchy presentation of work that simplifies a project’s planning, tracking, and execution and makes complex projects more achievable.

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5 Reasons to Connect with Snowflake at Mobile World Congress Barcelona 2024

Snowflake

The telecom industry is evolving rapidly, influenced by tech innovation and trends like generative AI and 5G, and the pressures of cost efficiency and global competition. One way telecom companies stay ahead of the curve is by attending the world’s largest and most influential telecom and connectivity event: Mobile World Congress (MWC) 2024, held February 26 – 29 in Barcelona, Spain.

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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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Requirement Traceability Matrix (RTM): A Complete Guide

Edureka

Project management tools are lifesavers for project managers as they help them plan, organize, and execute projects efficiently. Requirements Traceability Matrix is one such document that provides a centralized platform where team members can access project requirements and their test cases. This Matrix ensures that each requirement is properly validated and implemented.

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AWS Certification Path – Step-by-Step Journey Towards Your Career

Edureka

The AWS certification course is a dependent and complete program designed by Amazon Web Services (AWS) to validate the technical competencies and understanding of individuals operating in cloud computing. AWS certifications are fairly regarded inside the IT industry and offer a clean pathway for experts to demonstrate their talent in numerous AWS offerings and solutions.

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Amazon Elastic Container Service (Amazon ECS) Tutorial: How It Works?

Edureka

Introduction to AWS ECS Tutorial Welcome to the introduction to AWS ECS Tutorial (Elastic Container Service) academic. In this academic, we’ll discover the fundamentals of AWS ECS, a completely managed field orchestration carrier that lets in you to easily run, prevent, and control Docker containers on a cluster. Before that, if you are interested in learning AWS, enroll for the AWS Course here.

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AWS CloudFormation: How to Create and Deploy Easily?

Edureka

Introduction to AWS CloudFormation AWS CloudFormation is a powerful carrier that allows you to provision and manage AWS infrastructure as code (IaC). It permits you to define and install a set of AWS sources in a controlled and predictable manner. In this newsletter, we can delve into the info of AWS CloudFormation, exploring its definition, advantages, alternatives, key terms, and how to create and set up templates.

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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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What Has Changed in PRINCE2 7th Edition Launched?

Edureka

In the ever-evolving landscape of project management, staying up-to-date with the latest methodologies and best practices is crucial for success. A reliable resource for guidance on this journey is PRINCE2® (PRojects IN Controlled Environments). After PRINCE2 7th Edition is released in September 2023, you can stay ahead of the curve in your career by adopting the latest trends and enhancements that will shape project management in the future.

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The 7 Principles of PRINCE2, Themes and Processes

Edureka

In the current competitive landscape, companies are exploring a wide range of concepts and methodologies aimed at producing goods or services faster to market, with lower failure rates or no failure at all, fewer overhead costs, high quality, and very low cost profits. As a result, the project manager is under constant pressure to oversee and manage the projects in the best possible way.

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