Wed.Sep 18, 2024

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How to build a data project with step-by-step instructions

Start Data Engineering

1. Introduction 2. Setup 3. Parts of data engineering 3.1. Requirements 3.1.1. Understand input datasets available 3.1.2. Define what the output dataset will look like 3.1.3. Define SLAs so stakeholders know what to expect 3.1.4. Define checks to ensure the output dataset is usable 3.2. Identify what tool to use to process data 3.3. Data flow architecture 3.

Project 130
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Unleash Your Innovation: Announcing the Databricks Generative AI Startup Challenge with Over $1 Million in Credits, Prizes, and Potential Venture Funding

databricks

The Databricks Generative AI Startup Challenge offers $1M+ in prizes for innovative startups building Generative AI use cases on Databricks. Apply by November 1, 2024!

Building 128
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Best Practices for Version Control in Data Science Projects

KDnuggets

Versioning Best Practices for Data Science Projects As I have mentioned, this article assumes you have basic versioning knowledge. You don’t necessarily need to be adept at it, but at least you already have a Git version tool in the environment. If you haven’t, please follow the instructions for installation on the Git website.

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Inference-Friendly Models with MixAttention

databricks

Transformer models, the backbone of modern language AI, rely on the attention mechanism to process context when generating output. During inference, the attention.

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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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Deep Learning Approaches in Medical Image Segmentation

KDnuggets

Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning. By harnessing neural networks, deep learning algorithms are able.

Medical 73
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Security best practices for the Databricks Data Intelligence Platform

databricks

At Databricks, we know that data is one of your most valuable assets. Our product and security teams work together to deliver an enterprise-grade Data Intelligence Platform that enables you to defend against security risks and meet your compliance obligations. In this blog, we'll explain how you can leverage our platform's security features to establish a robust defense-in-depth posture that protects your data and AI assets from risks.

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Cloudera Evaluates Integrated Data and AI Exchange Business Line to Optimize Data-Driven Generative AI Use Cases

Cloudera

According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making. More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision.

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Data Quality Power Moves: Scorecards & Data Checks for Organizational Impact

DataKitchen

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. According to DataKitchen’s 2024 market research, conducted with over three dozen data quality leaders, the complexity of data quality problems stems from the diverse nature of data sources, the increasing scale of data, and the fragmented nature of data systems.

Data 60
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Key Data Integrity Trends and Insights for Your 2025 Strategy

Precisely

Businesses around the world are facing major challenges due to higher manufacturing costs, disruptive new technologies like artificial intelligence (AI), and tougher global competition. This means it’s more important than ever to make data-driven decisions, cut costs, and improve efficiency. But this is all easier said than done, as evidenced by key findings from this year’s 2025 Outlook: Data Integrity Trends and Insights report, published in partnership between Precisely and the Center for App

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Boosting ML Pipeline Efficiency: Direct Cassandra Ingestion from Spark

Yelp Engineering

Machine Learning Feature Stores ML Feature Store at Yelp Many of Yelp’s core capabilities such as business search, ads, and reviews are powered by Machine Learning (ML). In order to ensure these capabilities are well supported, we have built a dedicated ML platform. One of the pillars of this infrastructure is the Feature Store, which is a centralized data store for ML Features that are the input of ML models.

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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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9 Ways AI Can Uplevel Your Business Right Now

Snowflake

As the frenzied hype around generative AI cools off and as we get into the year of ideation, earlier adopters of AI are starting to see the results of initial experimentation. And these conversations are increasingly shifting to a more problem-oriented mentality. A lot of people were understandably swept up in the excitement of all that AI can do, only to find that some use cases were too risky or that those problems could be solved with traditional methods that were less costly.

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Project Management Demand: Career Opportunities

Knowledge Hut

As the world economy continues to globalize, the project management demand is expected to grow rapidly. A project manager is responsible for ensuring a project is completed on time, within budget, and to the required standard. To be successful in this role, a project manager must have excellent organizational and communication skills. They must be able to work effectively with a team of people, as well as be able to take up the role of a leader whenever necessary.

Project 52
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Unlocking Real-Time Insights and Making Migrations a Breeze: 13 New Partner Solutions and Offerings Launched

Confluent

Jump-start a new use case or accelerate your migration journey with our new Build with Confluent and Confluent Migration Accelerator partners.

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How to Become an Ethical Hacker in 2024?

Knowledge Hut

Ethical hackers are in high demand by companies and organizations that need to protect their data and systems from malicious activity. As cybercrime continues to evolve and become more sophisticated, companies need people with the skills and knowledge to outsmart cyber criminals. In 2024 and the upcoming years, the demand for ethical hackers will be higher, so now is the time to start preparing for a career in this exciting field.

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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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Building Cross-street Data Into Geocoding Locators

ArcGIS

Learn how to build cross-street data into a geocoding locator using ArcGIS Data Interoperability and its no-code approach.

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Pursue a Master’s in Data Science with the 4th Best Online Program

KDnuggets

Sponsored Content “Completing the program has provided me with proficiency in essential data science methodologies and programming languages, including R, Python, SQL, and Tableau. Additionally, the program's flexibility allowed me to select project subjects aligned with my interests, fostering hands-on learning experiences. Through these projects, I gained practical experience applying a diverse.

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How does Data Interoperability relate to FME?

ArcGIS

Learn the difference between ArcGIS Data Interoperability and FME technology and how they relate to one another.

Data 60
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Monitoring The Six Dimensions of Data Quality With Monte Carlo

Monte Carlo

How do you know if data is fit for use? While it will vary a bit depending on the use case, there are six dimensions of data quality that have become a standard best practice for this type of evaluation. Let’s take a look at each of these dimensions and see how any member of the data team can deploy a relevant monitor using the extensible Monte Carlo data observabilit y platform.

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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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Data Teams Survey 2020-2024 Analysis

Jesse Anderson

Survey Changes Over Time Between 2020 and 2024 (see 2020, 2023, and 2024 for each year’s information), I’ve been conducting a data teams survey. I wanted to dedicate an entire post to examining the change in data teams over time. Total Value Creation The most important question I ask each year concerns data team value creation. I break the question into two parts: “How successful would the business say your projects are?

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Introducing Netflix’s Key-Value Data Abstraction Layer

Netflix Tech

Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability.

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Evaluating Data Observability Tools: A Comprehensive Guide

Data Engineering Weekly

Click the Link Below to Get Your Free Data Observability Buyers Guide: [link] The Buyer Guide for Data Observability is out. Please feel free to make a copy or comment to add more criteria. I w ant to extend my gratitude to the Data Heroes Community for their valuable insights and discussions, which served as the foundation for this piece. The points and thoughts shared here are largely drawn from the community's collective knowledge and contributions.