Mon.Sep 23, 2024

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How to decide on a data project for your portfolio

Start Data Engineering

1. Introduction 2. Steps to decide on a data project to build 2.1. Objective 2.2. Research 2.2.1. Job description 2.2.2. Potential referral/hiring manager research 2.2.3. Company research 2.3. Data 2.3.1. Dataset Search 2.3.2. Generate fake data 2.4. Outcome 2.4.1. Visualization 2.5. Presentation 3. Conclusion 4. Read these 1.

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9 Mainframe Statistics That May Surprise You

Precisely

Are mainframes still relevant today? You bet! The following ten statistics paint a picture that shows mainframes are still going strong, with no signs of slowing. 1. The Mainframe Turns 60: A Milestone in Computing History. 60 years can really fly by! On April 7, 2024 , the Mainframe turned 60. At this milestone, we should all reflect on what the mainframe has done to the computing industry.

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How to Calculate Eigenvalues and Eigenvectors with NumPy

KDnuggets

NumPy is a powerful Python library, which supports many mathematical functions that can be applied to multi-dimensional arrays. In this short tutorial, you will learn how to calculate the eigenvalues and eigenvectors of an array using the linear algebra module in NumPy. Calculating the Eigenvalues and Eigenvectors in NumPy In order to explore.

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Announcing Databricks Support for Amazon EC2 G6 Instances

databricks

We are excited to announce that Databricks now supports Amazon EC2 G6 instances powered by NVIDIA L4 Tensor Core GPUs. This addition marks.

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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

Contractors today are navigating a market with 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. It integrates these digital solutions into everyday workflows, turning raw data into actionable insights.

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How to Train a Speech Recognition Model with Wav2Vec 2.0 and Hugging Face Transformers

KDnuggets

Let’s learn how to train the speech recognition model with Wav2Vec 2.0 and Transformers. Preparation Our tutorial would require the following packages, so install them with the following code: pip install transformers datasets soundfile Additionally, you should install the PyTorch package by selecting the suitable version for your environment. With the package.

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Celebrating Hispanic Heritage Month with Cloudera

Cloudera

We’re more than a week into Hispanic Heritage Month, which started on September 15 and continues through October 15. This month is an annual celebration in the United States that honors the contributions, culture, and achievements of Hispanic and Latinx Americans. Over the next few weeks, we’ll be gathering with fellow Clouderans to reflect on and celebrate, the achievements of the Hispanic and Latinx communities here in the U.S. and across the globe.

More Trending

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Metadata – Data Interoperability’s Hidden Talent (Part One)

ArcGIS

Metadata, the data about your data, is incredibly important, and Data Interoperability can help you create, manage, and maintain that data.

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Free Courses That Are Actually Free: Google Cloud Edition

KDnuggets

If you’ve been keeping up, I have been creating a series of free courses that are actually free, for example, the AI & ML Edition. Type in ‘Free courses that are actually free’ in the search bar to look at the rest. In this blog, I will dive into free courses with Google, from programming.

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Metadata – Data Interoperability’s Hidden Talent (Part Two)

ArcGIS

Metadata, the data about your data, is incredibly important, and Data Interoperability can help you create, manage, and maintain that data.

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Unlocking Effective Data Governance with Unity Catalog – Data Bricks – Part 2

RandomTrees

In the first part of Data Governance with Unity Catalog , we explored the fundamentals of Unity Catalog, including its core features, advantages, and a comparison with other data catalog tools. We also delved into the object hierarchy in the metastore, setting the foundation for a comprehensive understanding of this powerful governance solution. Now, in this part, we will continue our deep dive by examining the critical admin roles in Unity Catalog, uncovering how data lineage is captured and vi

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

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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Activities in Project Management: Roles, Activity List, Templates

Knowledge Hut

Many of us have heard about project management, especially as an upcoming career path. But only a few know the actual drill. Project management encompasses several phases: initiation, planning, execution, monitoring, and closure. Every stage is an activity in project management. Whether you are an experienced project manager looking to upgrade your skills or a curious beginner for insights into the art of successful projects, this fundamental guide will educate you with knowledge and tools to wo

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Convening With Data Streaming Engineers at Current 2024

Confluent

Check out this technical recap of Current 2024 keynotes and sessions for an overview of what data streaming engineers are learning and building today.

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Top 10+ AI skills To Boost your Career in AI

Edureka

Introduction You must be wondering what is Artificial Intelligence? Artificial Intelligence (AI) is transforming the way we live and work. As AI technologies become more prevalent, the demand for professionals with the right AI skills is growing rapidly. Whether you’re an aspiring AI/ML engineer, a data scientist, or someone interested in AI ethics, knowing the essential AI required skills can help you stand out in this competitive field.

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Michael J. Wallace Joins Confluent as Public Sector GM

Confluent

New executive to lead Confluent’s growth in public sector

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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.

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AI vs. Data Science: A Complete Guide

Edureka

Currently, two fields are critical and in demand – Data Science and Artificial Intelligence (AI). Though these terms and their usage are very close, they are two separate fields with their characteristics, and the field of statistics is narrower and focused differently. To overview data science and AI, it is necessary to explain the principles of the work of each field and their similarities and differences.

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Masking Sensitive Data in External Tables

Cloudyard

Read Time: 3 Minute, 51 Second In this post, we’ll explore the application of masking policies on external tables in Snowflake. While masking policies are commonly implemented on permanent tables, there are scenarios where sensitive data may reside in external sources, such as files in S3, which do not need to be fully ingested into Snowflake.

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Python Packaging in the Real World: Biomedical projects vs. PyPI

Tweag

The Python programming language, and its huge ecosystem (there are more than 500,000 projects hosted on the main Python repository, PyPI ), is used both for software engineering and scientific research. Both have similar requirements for reproducibility. But, as we will see, the practices are quite different. In fact, the Python ecosystem and community is notorious for the countless ways it uses to declare dependencies.

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