Sat.Aug 17, 2024 - Fri.Aug 23, 2024

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DAIS 2024: Unit tests - configuration and declaration

Waitingforcode

Code organization and assertions flow are both important but even them, they can't guarantee your colleagues' adherence to the unit tests. There are other user-facing attributes to consider as well.

Coding 130
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What is a “Good” Data or Software Engineer?

Confessions of a Data Guy

Recently, for some unknown reason, I was pursuing the new Stackoverflow … called Reddit, for Data Engineering … and I ran across an interesting question … more or less it was related to “what makes a good Software Engineer … in a Data Engineering context.” This isn’t the first time this idea has come up […] The post What is a “Good” Data or Software Engineer?

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Mapping the most popular National Park Service lands

ArcGIS

With a new GIS mapping tool you can map the most visited national parks (and much more!) to explore your spatial data even further.

Designing 145
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Onboarding your new AI/BI Genie

databricks

Deploying an AI/BI Genie is like hiring a new data analyst. This blog covers the basics you need to successfully onboard your Genie and maximize the benefits.

BI 123
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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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DevOps Roadmap: Your Guide to Become a DevOps Engineer

Edureka

If you’re curious about learning DevOps Roadmap but don’t know where to start, you’re in the right place! I’ll guide you step-by-step on your journey to becoming a DevOps engineer. First and foremost, we will start with the basic skills required to become a DevOps engineer, then gradually explore the major milestones you need to reach to succeed in this field.

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How PyTorch powers AI training and inference

Engineering at Meta

Learn about new PyTorch advancements for LLMs and how PyTorch is enhancing every aspect of the LLM lifecycle. In this talk from AI Infra @ Scale 2024 , software engineers Wanchao Liang and Evan Smothers are joined by Meta research scientist Kimish Patel to discuss our newest features and tools that enable large-scale training, memory efficient fine-tuning, and on-device LLM capabilities.

More Trending

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Unlock Real-Time Cross-Platform Collaboration with Delta Sharing Tableau Connector

databricks

Special thanks to Kevin Glover, Martin Ko, Kuber Sharma and the team at Tableau for their valuable insights and contributions to this blog.

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Full Stack Developer Skills, Salary and Jobs

Edureka

In the 21st century, Full Stack Web Development has undoubtedly transformed the internet. Notably, it is the driving force behind all the sites we see today, as well as mobile applications installed on our devices. Therefore, To succeed in web development, it’s important for anyone hoping to make a career out of it to understand and excel in the full stack developer skills required according to the current market trend.

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Aparna Ramani discusses the future of AI infrastructure

Engineering at Meta

Delivering new AI technologies at scale also means rethinking every layer of our infrastructure – from silicon and software systems and even our data center designs. For the second year in a row, Meta’s engineering and infrastructure teams returned for the AI Infra @ Scale conference, where they discussed the challenges of scaling up an infrastructure for AI as well as work being done on our large-scale GPU clusters , open hardware designs for next-generation data center hardware, and how Meta i

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Use the Huff model to affirm site selection in Business Analyst Pro

ArcGIS

Did you catch the Huff model demo at UC 2024? Read this article for step-by-step instructions on the Business Analyst workflow.

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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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10 Free Resources to Learn LLMs

KDnuggets

Learn large language models with these free resources from Deeplearning.AI, Microsoft, AWS, and more.

AWS 131
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Raise Your Tests: Testing Functional Kotlin with Arrow and Raise

Rock the JVM

By Riccardo Cardin At Rock the JVM, we deeply understand the power of the Kotlin Arrow library and the Raise DSL, and we’ve previously shared our insights in our article on Functional Error Handling in Kotlin, Part 3: The Raise DSL. Now, we’re ready to introduce the crucial topic of testing applications that use the Raise DSL. To fully grasp the concepts we’ll be discussing, it’s essential to have a solid understanding of Kotlin, Arrow library, and the Raise DSL.

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What's new in Workflows?

databricks

Databricks Workflows is the cornerstone of the Databricks Data Intelligence Platform, serving as the orchestration engine that powers critical data and AI workloads.

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Bringing Llama 3 to life

Engineering at Meta

Llama 3 is Meta’s most capable openly-available LLM to date and the recently-released Llama 3.1 will enable new workflows, such as synthetic data generation and model distillation with unmatched flexibility, control, and state-of-the-art capabilities that rival the best closed source models. At AI Infra @ Scale 2024 , Meta engineers discussed every step of how we built and brought Llama 3 to life, from data and training to inference.

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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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Pip Install YOU: A Beginner’s Guide to Creating Your Python Library

KDnuggets

Have you ever wanted to create your library in Python? Well, it’s achievable and surprisingly quite easy!

Python 121
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AI Challenges and How Cloudera Can Help

Cloudera

By now, every organization, regardless of industry, has at least explored the use of AI, if not already embraced it. In today’s market, the AI imperative is firmly here, and failing to act quickly could mean getting left behind. But even as adoption soars, struggles remain, and scalability continues to be a major issue. Organizations are quick to adopt AI, but getting it established across the organization brings a unique set of challenges that come into play.

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North Arrow Necessity

ArcGIS

Does your map need a north arrow? It depends.

IT 136
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Inside the hardware and co-design of MTIA

Engineering at Meta

In this talk from AI Infra @ Scale 2024 , Joel Colburn, a software engineer at Meta, technical lead Junqiang Lan, and software engineer Jack Montgomery discuss the second generation of MTIA , Meta’s in-house training and inference accelerator. They cover the co-design process behind building the second generation of Meta’s first-ever custom silicon for AI workloads, including the PyTorch software ecosystem, and the model architectures for Meta’s key applications.

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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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How to Conduct Time Series Analysis in R

KDnuggets

This article explains the basics of time series analysis. Learn to prepare your data and visualize trends in R.

Data 102
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MDM for Increased Economies of Scale: Top Benefits and Best Practices

Precisely

Key Takeaways: Leverage multi-domain master data management (MDM) to achieve and increase economies of scale, driving accurate insights and operational efficiency. Implementing MDM provides advanced geospatial capabilities and cross-domain intelligence for benefits like optimized logistics and enhanced customer targeting. To build economies of scale, start small with high-value projects, focus on the larger data integrity journey, and utilize domain expertise to build a robust MDM framework for

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Cloudera’s Bangalore Center of Excellence – Local Innovation Driving Global Impact

Cloudera

In the heart of India’s tech hub, Bangalore, you’ll find our Center of Excellence (CoE), an innovation hub focused on technological advancement. Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

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Spring Into Confluent Cloud With Kotlin—Part 1: Producers and Consumers

Confluent

Get a full tutorial for interacting with Kafka on Confluent Cloud using the Spring Boot framework w/Kotlin. Includes Terraform and Stream Governance.

Cloud 75
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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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How to Apply Padding to Arrays with NumPy

KDnuggets

In this article, you will learn how to apply padding to arrays with NumPy, as well as the different types of padding and best practices when using NumPy to pad arrays.

Python 75
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Unraveling the Threads: Data Fabric vs Data Mesh for Modern Enterprises

Precisely

Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and contextual data analytics and operations. Both architectures tackle significant data management challenges such as integrating disparate data sources, improving data accessibility, automating management processes, and ensuring data governance and security.

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Databricks Marketplace Welcomes 47 New Data Providers in Q2 2024

databricks

Special thanks to David Gray @Epsilon, Tanishq Bhalla @HealthVerity, Itai Weiss @ Nimble, JB Kole @ Mostly.ai for their valuable insights and contributions.

Data 75
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Cloudera Open Data Lakehouse Named a Finalist in the CRN Tech Innovator Awards

Cloudera

The CRN Tech Innovator Awards spotlight innovative products and services across 36 categories, with winners chosen by CRN staff from over 320 product applications. This year, we’re excited to share that Cloudera’s Open Data Lakehouse 7.1.9 release was named a finalist under the category of Business Intelligence and Data Analytics. These awards, held annually, are intended to help solution providers identify IT products and services that are truly innovative and deliver customer value.

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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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5 Tips for Effective Data Visualization

KDnuggets

Looking to make your data visuals stand out? Check out these five tips for effective data visualization.

Data 98
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Data Engineering Weekly #185

Data Engineering Weekly

Try Fully Managed Apache Airflow for FREE Run Airflow without the hassle and management complexity. Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. For a limited time, new sign-ups will receive a complimentary Airflow Fundamentals Certification exam (normally $150).

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Long Weekend Wanderlust: Unpacking the Impact on Travel and Retail in 2024

Precisely

Travel Surges as Summer Kicks Off Long weekends offer the prime time for quick getaways, offering a much-needed escape and a chance to recharge. Recent insights reveal a shift in how people are planning their mini vacations, turning long weekends into a significant driver for the travel sector. By examining the changes in travel patterns for Memorial Day and July 4th in both 2023 and 2024, we can gain a clear picture of what travelers are seeking during these extended breaks.

Retail 59
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Why I Joined ThoughtSpot: James Smith, VP EMEA

ThoughtSpot

This blog is part of our ongoing ‘Why I Joined ThoughtSpot’ series. In this blog, we will learn more about our recent hire James Smith, who joined us as our VP of EMEA. James Smith recently joined ThoughtSpot as our Vice President of EMEA. As we expand our reach into the EMEA region, in this role, Smith is responsible for ThoughtSpot’s revenue growth, team culture, and customer and operational excellence.

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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.