Sat.Mar 23, 2024 - Fri.Mar 29, 2024

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Schema tracking in Delta Lake

Waitingforcode

Streaming Delta tables is slightly different from streaming native streaming sources, such as Apache Kafka topics. One of the significant differences is schema enforcement. It leads to the job failure in case of schema changes of the streamed table.

Kafka 130
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A Collection Of Free Data Science Courses From Harvard, Stanford, MIT, Cornell, and Berkeley

KDnuggets

Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.

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Announcing DBRX: A new standard for efficient open source LLMs

databricks

Databricks’ mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their.

Building 144
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Building Databricks Data Pipelines 101

Confessions of a Data Guy

Have you ever wondered at a high level what it’s like to build production-level data pipelines on Databricks? What does it look like, what tools do you use? The post Building Databricks Data Pipelines 101 appeared first on Confessions of a Data Guy.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Moderating Inappropriate Video Content at Yelp

Yelp Engineering

One of Yelp’s top priorities is the trust and safety of our users. Yelp’s platform is most well-known for its reviews, and its moderation practices have been recognised in academic research for mitigating misinformation and building consumer trust. In addition to reviews, Yelp’s Trust and Safety team takes significant measures when it comes to protecting its users from inappropriate material posted through other content types.

Building 115
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The Promise of Edge AI and Approaches for Effective Adoption

KDnuggets

Organizations are adopting edge AI for real-time decision-making using efficient and cost-effective methods such as model quantization, multimodal databases, and distributed inferencing.

Database 112

More Trending

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How To Build and Open Source PYPI Python Package

Confessions of a Data Guy

Ever wondered how to build and end-to-end project for an Open Source Python Package that gets published to PYPI? I built out lakescuman open-source package to help with Databricks Unity Catalog Delta Lake tables querying with Polars, DuckDB, or PyArrow. [link] The post How To Build and Open Source PYPI Python Package appeared first on Confessions of a Data Guy.

Python 100
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Snowflake Invests in Observe to Expand Observability in the Data Cloud

Snowflake

As organizations seek to drive more value from their data, observability plays a vital role in ensuring the performance, security and reliability of applications and pipelines while helping to reduce costs. At Snowflake, we aim to provide developers and engineers with the best possible observability experience to monitor and manage their Snowflake environment.

Cloud 109
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Mastering Python for Data Science: Beyond the Basics

KDnuggets

This article serves as a detailed guide on how to master advanced Python techniques for data science. It covers topics such as efficient data manipulation with Pandas, parallel processing with Python, and how to turn models into web services.

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Top UI UX Trends to Know in 2024

Knowledge Hut

The process of developing digital assets that are both aesthetically pleasing and simple to use is known as user interface/user experience design, or UI/UX design. While UX designers concentrate on the user's journey and how they engage with the product, UI designers are more concerned with the appearance and feel of a product. Because of digital innovation and the dynamic needs of consumers, the field of UI/UX design is always developing.

Designing 105
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Phone Number Masking for Yelp Services Projects

Yelp Engineering

In this blog post, we highlight how phone number masking helps build consumer trust in the services marketplace at Yelp, decreases the friction in communication with service professionals, and allows for seamless switching between the Yelp app and a user’s phone. We present a high level overview of our in-house phone masking system and dive into the details of the engineering challenge of optimizing the usage of proxy phone number resources at Yelp’s scale.

Project 103
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Announcing the State Reader API: The New "Statestore" Data Source

databricks

Databricks Runtime 14.3 includes a new capability that allows users to access and analyze Structured Streaming 's internal state data: the State Reader.

Data 109
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5 Free Google Courses to Become a Software Engineer

KDnuggets

Want to become a software engineer? Make it happen with these free courses and guides from Google.

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Bringing HDR photo support to Instagram and Threads

Engineering at Meta

Meta’s family of apps serves trillions of image download requests every day. And if you’re into high-quality images, you’ve probably noticed that Instagram and Threads have added support for high dynamic range (HDR) photos. Now people on Threads and Instagram can upload and share images that are more true-to-life, with the full color and range their device is capable of capturing.

Media 87
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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#ClouderaLife Employee Spotlight: Jess Hohn-Cabana

Cloudera

Meet Cloudera’s new Senior Vice President of Global Communications, Jess Hohn-Cabana. In this Employee Spotlight, we’ll get to know more about Jess, her new role, and her recent award win at the 2024 Ragan Top Women in Communications Awards. Get to Know Jess: A Seasoned Leader in Tech Communications and Branding Coming to Cloudera with nearly three decades of experience in tech communications and branding, Jess is a leader and a visionary on all things storytelling.

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Announcing the General Availability of Databricks Notebooks on SQL Warehouses

databricks

Today, we are excited to announce the general availability of Databricks Notebooks on SQL warehouses. Databricks SQL warehouses are SQL-optimized compute that provide.

SQL 101
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10 GitHub Repositories to Master MLOps

KDnuggets

Begin your MLOps journey with these comprehensive free resources available on GitHub.

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Snowflake Data Clean Rooms: Securely Collaborate to Unlock Insights and Value

Snowflake

In December 2023, Snowflake announced its acquisition of data clean room technology provider Samooha. Samooha’s intuitive UI and focus on reducing the complexity of sharing data led to it being named one of the most innovative data science companies of 2024 by Fast Company. Now, Samooha’s offering is integrated into Snowflake and launched as Snowflake Data Clean Rooms , a Snowflake Native App on Snowflake Marketplace, generally available to customers in AWS East, AWS West and Azure West.

Media 74
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Don’t Get Left Behind in the AI Race: Your Easy Starting Point is Here

Cloudera

The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings.

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Managed Sportlogiq to Databricks Data Ingestion Pipelines for NHL Teams: A Game-Changing Alliance

databricks

Overview In the competitive world of professional hockey, NHL teams are always seeking to optimize their performance. Advanced analytics has become increasingly important.

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7 Steps to Mastering Large Language Model Fine-tuning

KDnuggets

From theory to practice, learn how to enhance your NLP projects with these 7 simple steps.

Project 123
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Four Data Engineering Projects That Look Great on your CV

Towards Data Science

Data pipelines that would turn you into a decorated data professional Continue reading on Towards Data Science »

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Reflections on Strong Momentum and Category Leadership in Data Observability

Monte Carlo

When we launched the data observability category in 2020, we set out to solve a very real problem: data trust. In the preceding months, I met with hundreds of data leaders about what kept them up at night. Time and again, data leaders regaled stories of how their critical dashboards broke the morning of an executive meeting or their ML model generated inaccurate predictions.

MySQL 64
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Deloitte Data as a Service for Banking: A Modern Data Solution for Banks and Capital Markets Institutions

databricks

As new Generative AI capabilities continue to emerge with heightened customer expectations, data modernization and migration to the cloud have become critical success.

Banking 81
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Pydantic Tutorial: Data Validation in Python Made Simple

KDnuggets

Want to write more robust Python applications? Learn how to use Pydantic, a popular data validation library, to model and validate your data.

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Making Predictive Customer Support a Reality for Telcos

Confluent

Use Confluent data streaming platform to proactively identify and resolve network issues for greater customer satisfaction and cost savings.

Data 73
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Data Engineering Weekly #164

Data Engineering Weekly

al6z: 16 Changes to the Way Enterprises Are Building and Buying Generative AI This report has a lot of interesting insight into the enterprise adoption of Gen AI. Companies are more open to adopting Gen AI for their internal use cases but have reservations about rolling it out to their clients. The Gen AI budget is now rolling into regular software budgeting rather than an experimental budget.

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PySpark in 2023: A Year in Review

databricks

With the releases of Apache Spark 3.4 and 3.5 in 2023, we focused heavily on improving PySpark performance, flexibility, and ease of use.

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The Art of Effective Prompt Engineering with Free Courses and Certifications

KDnuggets

Have you ever asked yourself ‘Am I using these generative AI tools correctly?

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Confluent Champion Smriti on Why We Need More Women In Tech

Confluent

Our Women’s History Month special Confluent Champion post highlights how Solutions Architect Smriti Sridhar helps drive Women in Tech initiatives.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating