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

Portfolio 130
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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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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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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 113
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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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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 125
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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.

More Trending

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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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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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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 108
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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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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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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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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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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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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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Transform 2D building footprint polygons into 3D buildings using 3D Object Feature Layer

ArcGIS

Interested in 3D GIS but not sure where to start? Learn the proper method to transform pre-existing 2D footprint polygons into a 3D buildings.

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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 76
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Fundamentals of Effective Prompt Engineering

KDnuggets

The launch of foundational models, popularly called Large Language Models (LLMs), created new ways of working – not just for the enterprises redefining the legacy ways of doing business, but also for the developers leveraging these models. The remarkable ability of these models to comprehend and respond in human-like language has given rise to.

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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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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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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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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 73
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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.

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How much does a PMP® Certification cost?

Knowledge Hut

Are you planning to take the PMP ® certification exam soon? If yes, you should take the next step by starting with the application process. But before that, you need to have a clear idea about the costs which are included in the process of getting PMP ® certified. PMP ® is considered as one of the most valuable and high demand certifications in the project management category.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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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 88
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Data Engineering Weekly #190

Data Engineering Weekly

Editor’s Note: Coming Next on Comparison Matrix Series - Data LakeHouse Our mission is to empower data professionals and organizations to make informed, data-driven decisions by providing a comprehensive buyer's guide and comparison matrix for selecting the best data tools. We have already published a comparison matrix for CDC and Data Observability.

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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 95
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Expanding Confluent's Integration with Microsoft Azure®: Create and Manage Confluent Resources Directly from the Azure Portal with Confluent's Fully Managed Connectors (Preview)

Confluent

Announcing the ability to create and manage Confluent resources, incl. topics, clusters, environments, and connectors—directly in the Azure portal itself (preview).

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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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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Engineering Privacy: A Technical Overview of Privacy in Data Systems

Data Engineering Weekly

Once again, I want to thank the Data Heros community. Last Friday, we discussed the challenges in bulk discovery and anonymization processes in data warehouses. The collective design choices and ideas lead to a comprehensive overview of thinking about designing data infrastructure with a privacy-first approach. Why care about privacy? Privacy and access management within data infrastructure is not just a best practice; it's a necessity.

Systems 67
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How to Use R for Data Transformation with dplyr

KDnuggets

It's important to transform data for effective data analysis. R's 'dplyr' package makes data transformation simple and efficient. This article will teach you how to use the dplyr package for data transformation in R. Install dplyr Before using dplyr, you must install and load it into your R session. Now you’re ready to.

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Revolutionizing Data Queries with TextQL: Insights from Co-Founder Ethan Ding

Striim

Can AI really make your data analysis as easy as talking to a friend? Join us for an enlightening conversation with Ethan Ding, the co-founder and CEO of TextQL, as he shares his journey from Berkeley graduate to pioneering the text-to-SQL technology that’s transforming how businesses interact with their data. Discover how natural language queries are breaking down barriers, making data analysis accessible to everyone, regardless of technical skill.

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.