Sat.Sep 21, 2024 - Fri.Sep 27, 2024

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7 Steps to Mastering Coding for Data Science

KDnuggets

Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.

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Introducing Meta Llama 3.2 on Databricks: faster language models and powerful multi-modal models

databricks

We are excited to partner with Meta to launch the latest models in the Llama 3 series on the Databricks Data Intelligence Platform.

Data 135
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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.

Portfolio 130
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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.

Banking 116
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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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5 LLM Tools I Can’t Live Without

KDnuggets

Large language models (LLMs) have transformed, and continue to transform, the AI and machine learning landscape, offering powerful tools to improve workflows and boost productivity for a wide array of domains. I work with LLMs a lot, and have tried out all sorts of tools that help take advantage of the models and their potential.

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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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AI (LLMs) and Software Engineering (Writing Code)

Confessions of a Data Guy

I recently wrote on my Substack (Data Engineering Central) about how I used the new OpenAI o1 model to do some basic Data Engineering tasks surrounding PostgreSQL. It did ok. I’ve also been using CoPilot and ChatGPT for over a year now to assist me with my daily code that I have to write for […] The post AI (LLMs) and Software Engineering (Writing Code) appeared first on Confessions of a Data Guy.

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7 Free Online Python REPLs

KDnuggets

Running Python code directly in your browser is incredibly convenient, eliminating the need for Python environment setup and allowing instant code execution without dependency or hardware concerns. I am a strong advocate of using a cloud-based IDE for working with data, machine learning, and learning Python as a beginner. It helps you learn programming and.

Python 144
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Handling the Producer Request: Kafka Producer and Consumer Internals, Part 2

Confluent

Learn how your data goes from a producing client all the way to disk on a broker—along the way traversing buffers, threads, queues and more.

Kafka 111
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How to publish customized views of the same source data

ArcGIS

To publish different views of the same source data, alter map layer settings before you publish each web feature layer.

Data 111
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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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AI Powered BI for Games

databricks

Unlock the potential of your data with Databricks' AI/BI Genie spaces! This blog post explores how to create a Genie space using a World of Warcraft dataset, enabling users to interactively query data and gain insights like a data analyst. Discover the ease of setting up a Genie space, visualize character engagement, and empower your team to make data-driven decisions.

BI 104
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Feature Store Summit 2024: Data for AI – Real-Time, Batch, and LLMs

KDnuggets

Sponsored Content Once again the conference brings together researchers, professionals, and educators to present and discuss advances in Data and AI across various applications within industry. The Feature Store Summit aims to combine advances in technology and new use cases for managing data for AI. Hosted by Hopsworks, this free online conference.

Education 139
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How To Get a Higher Salary in Software Engineering

Knowledge Hut

There is an upswing in the consideration of Software Engineer as a career choice. Software engineers make a huge contribution to the success of many IT ventures or businesses, making them earn a considerable amount. You can also contribute by learning all the required skills. Learn the skills and update your software engineer profile with software development courses.

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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.

Metadata 110
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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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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.

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Has Europe Gone Too Far? The Delicate Dance of Regulation and Innovation

KDnuggets

While one can argue that Europe’s cautious regulatory approach might hinder innovation and competition in AI compared to more permissive regions like the US and China, the challenge is more nuanced.

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Essential Guide to Clearing PRINCE2 Examination

Knowledge Hut

PRINCE2 (Projects in Controlled Environments) has gained significant popularity and widespread adoption across various industries and organizations worldwide. This certification offers a comprehensive and adaptable framework tailored to suit projects of any size or complexity. This flexibility allows organizations to apply PRINCE2 principles and processes to projects, from small initiatives to large-scale endeavors.

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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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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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The Global Impact of Cloudera in Our Daily Lives

Cloudera

Cloudera customers understand the potential impact of data, analytics, and AI on their respective businesses — reducing costs, managing risk, improving customer satisfaction, and generating new business opportunities that help to increase market share. But, what is the ultimate impact of all this effort and investment on each of us in our daily lives?

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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.

Python 137
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Important Tips for Software Engineers

Knowledge Hut

If you're considering pursuing a career as a software engineer, it's an exciting field with lots of potential for growth and opportunity. But becoming a software engineer requires more than having the right degree and technical skills. It takes careful planning and preparation to ensure you'll have the best chance of landing your first job. Who is a Software Engineer?

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Snowflake’s Whitnee Hawthorne on AI Data Cloud for Travel and Hospitality

Snowflake

Today, Snowflake is officially launching the AI Data Cloud for Travel and Hospitality. Snowflake’s newest AI Data Cloud offers a unified and secure platform that streamlines AI and ML development to support the growth of travel and hospitality businesses, empowering organizations to harness their data’s full potential. With Snowflake and its ecosystem of partners, travel and hospitality businesses can integrate and analyze valuable third-party data to deliver top-notch customer experiences and m

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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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Streamlining Generative AI Deployment with New Accelerators

Cloudera

The journey from a great idea for a Generative AI use case to deploying it in a production environment often resembles navigating a maze. Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over. Cloudera recognizes the struggles that many enterprises face when setting out on this path, and that’s why we started building Accelerators for ML Projects (AMPs).

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How Natural Language Processing of Unstructured Data is Improving Healthcare Outcomes

KDnuggets

Healthcare generates a vast amount of unstructured data, including clinical notes, patient messages, and research articles. This data contains valuable insights that can significantly improve patient care, but are difficult to include in traditional modeling techniques due to its unstructured format. Natural language processing (NLP) is a subtype of artificial intelligence that is transforming how.

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Meetings And Their Relevance In Separating Governance From Management

Knowledge Hut

What is management ? What is the difference between governing body and management? What is the relevance of meetings in management? Does the management layer need to conduct so many meetings? Seems like simple questions not sure how well it is understood and applied. I am sure most of us have attended or conducted meetings as a part of management governance.

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Unlock gen AI’s potential in Retail: Start with a cloud data foundation

Snowflake

There’s no question which technology everyone’s talking about in retail. Generative AI continues to promote incredible levels of interest with its promise of next-level productivity and new kinds of employee and customer experience. It’s all happening at light speed. When ChatGPT burst onto the scene, it gained hundreds of millions of users in a matter of months.

Retail 81
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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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How to Power Successful AI Projects with Trusted Data

Precisely

Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach to AI is essential. Start with clear business use cases and ensure collaboration between business and IT teams for the greatest impact. Building data literacy across your organization empowers teams to make better use of AI tools.

Project 75
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How Machine Learning is Transforming Disease Risk Prediction in Healthcare

KDnuggets

Disease risk prediction is a cornerstone of preventative healthcare. It is used to provide guidelines for clinicians to follow to identify their most at-risk patients and provide guidance to reduce risk. Effective predictions allow for early intervention, personalized treatments, and improved outcomes. However, traditional models often struggle to account for the complexities of human health.

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25 Best Software Development Tools To Use In 2024

Knowledge Hut

The process through which programmers make various computer programs is called software development. The software development life cycle entails several phases that break down the product development method. The right method is found through thorough needs identification, requirement analysis, design, development and implementation, testing and development, and maintenance.

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Best Practices for Responsible AI Innovation and Governance Frameworks

Snowflake

With the breakneck speed of AI advancement, new innovations inevitably outpace global governments’ abilities to regulate its use. When regulations struggle to keep up, AI technologies left unchecked run the risk of infringing on fundamental rights and freedoms. Some of the most pressing risks include: Privacy: AI systems can process enormous amounts of personal data, raising concerns about how this data is used and protected.

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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.