Sat.Apr 06, 2024 - Fri.Apr 12, 2024

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Shutting Down My Job Board for Software Engineering Positions After 2.5 Years

The Pragmatic Engineer

I started The Pragmatic Engineer Job Board in October 2021. 2.5 years later, I am shutting it down permanently, despite a reasonable success in traction. The shutdown was triggered by my vendor – Pallet – discontinuing their job board and talent collective approach. However, I might have eventually come to the same decision myself, even without Pallet making this call.

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Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer

Data Engineering Podcast

Summary Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. In order to enable this use case, while maintaining a single point of access, the semantic layer has evolved as a technological solution to the problem.

Data Lake 162
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Databricks Doubles Cost. Reddit Explodes. I’m in Trouble!

Confessions of a Data Guy

I recently did a post on Linkedin and Reddit about Databricks removing Standard Tier and forcing folks into Unity Catalog. The post got big traction and blew up, more than I thought. Enough for the Databricks folk to hunt me down at work and tell me I’m naughty. I will be writing a more in-depth […] The post Databricks Doubles Cost. Reddit Explodes.

Data 130
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Data enrichment strategies in Apache Flink

Waitingforcode

Data enrichment is a crucial step in making data more usable by the business users. Doing that with a batch is relatively easy due to the static nature of the dataset. When it comes to streaming, the task is more challenging.

Datasets 130
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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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Weekend maintenance kicks an Italian bank offline for days

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of four topics from today’s subscriber-only The Pulse issue. To get full issues twice a week, subscribe here.

Banking 217
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10 GitHub Repositories to Master Python

KDnuggets

Learn Python through tutorials, blogs, books, project work, and exercises. Access all of it on GitHub for free and join a supportive open-source community.

Python 144

More Trending

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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

In 2020, Snowflake announced a new global competition to recognize the work of early-stage startups building their apps — and their businesses — on Snowflake, offering up to $250,000 in investment as the top prize. Four years later, the Snowflake Startup Challenge has grown into a premiere showcase for emerging startups, garnering interest from companies in over 100 countries and offering a prize package featuring a portion of up to $1 million in potential investment opportunities and exclusive

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Common Pitfalls of Data Analytics Projects

Seattle Data Guy

Have you ever been part of a data or software project that seems stuck in a loop? Three weeks have passed, and although you arrive at work daily, exhausted, having tackled numerous issues, the project remains stagnant. Why? Then, suddenly, a new engineer or project manager steps in, reorganizes and prioritizes tasks, and just like… Read more The post Common Pitfalls of Data Analytics Projects appeared first on Seattle Data Guy.

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Unapologetically Technical Episode 10 – Michael Drogalis

Jesse Anderson

And just like that, we’re down to the 10th episode of Unapologetically Technical! In this episode, I interview Michael Drogalis, the founder and CEO of ShadowTraffic where we talked about the early Hadoop era and how he saw the need for Kafka in the industry. He shared his journey of starting a new company in his 20s and being acquired by Confluent.

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Writing Apache Spark with Rust! Spark Connect Introduced.

Confessions of a Data Guy

I never thought I would live to see the day, it’s crazy. I’m not sure who’s idea it was to make it possible to write Apache Spark with Rust, Golang, or Python … but they are all genius. As of Apache Spark 3.4 it is now possible to use Spark Connect … a thin API […] The post Writing Apache Spark with Rust! Spark Connect Introduced. appeared first on Confessions of a Data Guy.

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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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Export Symbols and Style Items from ArcGIS Pro

ArcGIS

Starting with ArcGIS Pro 3.2, you can export all symbols in the map as style items and save them to a style in a single process.

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Bringing MegaBlocks to Databricks

databricks

At Databricks, we’re committed to building the most efficient and performant training tools for large-scale AI models. With the recent release of DBRX.

Building 131
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Snowflake Ventures Invests in Coda to Turn Data into Action for Business Users

Snowflake

One of our key objectives at Snowflake is to help enterprises fully unlock the value of their data, and an important aspect of that is making data both accessible and actionable to as many people as possible, regardless of their role or technical skill set. We’re announcing a new investment today that will transform how teams across the business work with data in the future.

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7 Steps to Mastering Data Engineering

KDnuggets

The only data engineering roadmap you need for an introduction to concepts, tools, and techniques to collect, store, transform, analyze, and model data.

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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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May I Borrow That Idea? – Pasting Feature Layer Properties

ArcGIS

Starting with ArcGIS Pro 3.2, you can copy layer properties from one feature layer and paste them to another.

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DSPy on Databricks

databricks

Large language models (LLMs) have generated interest in effective human-AI interaction through optimizing prompting techniques. “Prompt engineering” is a growing methodology for tailoring.

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Project Management Organizational Structure: Types & Examples

Knowledge Hut

Project management plays a significant role in the success of every organization. It ensures that the project is on track, aids in efficient management of resources, and also keeps the stakeholders know what is project and what's happening in it. In this blog, we will look at three different project organizational structures: functional, matrix, and process.

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7 Things Students Are Missing in a Data Science Resume

KDnuggets

Adding these 7 key elements to your resume will improve your odds of getting an interview call. Remember, after graduating from the university, your full-time job is to find a job, so put some effort into preparing your resume.

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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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High resolution data updates to Living Atlas World Elevation Layers (April 2024)

ArcGIS

In April 2024, elevation layers have been updated with high-res datasets of Wales, New Zealand & German states of Bavaria, Saxony and Brandenburg

Datasets 108
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Snowflake Achieves C5 and TISAX Certifications, Expanding Compliance Scope in Germany

Snowflake

As Snowflake continues to expand our commitment to compliance, we are pleased to announce that we have successfully completed both C5 and TISAX attestations in Germany. Cloud Computing Compliance Controls Catalog (C5) C5 is an audited standard establishing baselines for cloud security. It was initially created for government agencies and organizations that work with the government to ensure security baselines are met by their cloud service providers (CSPs).

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What is Agile and How Does It Work?

Knowledge Hut

Agile began as an iterative, collaborative, value-driven approach to developing software. It was originally conceived as a framework to help structure work on complex projects with dynamic, unpredictable characteristics. But since then, it has evolved into somewhat of a philosophy or worldview with a set of well-articulated values and principles that it shares with Agmany Agilearieties.

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Learn About Cloudera’s Partner Network

Cloudera

Businesses around the world rely on an extensive network of partnerships to deliver quality customer experiences—and it’s no different here at Cloudera. Cloudera is building a robust partner ecosystem to meet the unique needs of its customers, working to provide exceptional and fulfilling experiences that help make Cloudera a leader in the multi-cloud data platform space.

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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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The AI Transformation Strategy in the GenAI Era

KDnuggets

Similar to the iterative nature of AI projects, AI strategy also requires continuous adjustments to bring successful AI transformation.

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Databricks Wins 2024 Google Cloud Partner of the Year Award

databricks

We're excited to announce that Databricks has been honored with the 2024 Google Cloud Technology Partner of the Year award for Data -.

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Multi-Scale Contour Styling in ArcGIS Pro

ArcGIS

How to configure scale-appropriate contour lines and their labels.

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How Snowflake Enhanced GTM Efficiency with Data Sharing and Outreach Customer Engagement Data

Snowflake

Like many companies, Snowflake uses Outreach as a sales execution platform to help our sales teams improve prospecting efforts and efficiently follow up on leads. For Snowflake sales reps, Outreach is the central repository for almost all inbound and outbound communications with current and potential customers. For the sales development representative (SDR) leadership team, it’s an immensely valuable source of insights for sales enablement and automation.

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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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The Case of Homegrown Large Language Models

KDnuggets

Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.

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Creating Brand-Aligned Images Using Generative AI

databricks

Image-generating technologies offer significant benefits for retail and consumer goods companies. By using generative models that produce both stylized and photo-realistic images from.

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Combine, Visualize, and Analyze Responses from Participatory Mapping

ArcGIS

Answering regional geographers' favorite question: Where is the Midwest to you?

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Introducing the next-gen Meta Training and Inference Accelerator

Engineering at Meta

We are sharing details of our next generation chip in our Meta Training and Inference Accelerator (MTIA) family. MTIA is a long-term bet to provide the most efficient architecture for Meta’s unique workloads.

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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.