November, 2023

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Use Data Enrichment to Supercharge AI

Precisely

AI transforms how we interact with technology, make decisions, and solve complex problems. It has been at the heart of many innovations over the past two years, powering everything from the chatbots that enhance our customer experiences to the predictive analytics engines that help us make financial decisions. What defines a successful AI initiative, and how can your organization ensure that your investments and hard work deliver maximum value for your organization?

Raw Data 121
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What is an Open Table Format? & Why to use one?

Start Data Engineering

1. Introduction 2. What is an Open Table Format (OTF) 3. Why use an Open Table Format (OTF) 3.0. Setup 3.1. Evolve data and partition schema without reprocessing 3.2. See previous point-in-time table state, aka time travel 3.3. Git like branches & tags for your tables 3.4. Handle multiple reads & writes concurrently 4. Conclusion 5. Further reading 6.

Data 322
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Unlocking the Power of Analytics with Dr. Swati Jain

Analytics Vidhya

In this Leading with Data episode, explore the analytics landscape with Dr. Swati Jain, a seasoned leader boasting over two decades of experience. From her unforeseen foray into analytics to steering EXL Analytics’ India business, Dr. Jain imparts invaluable insights into the ever-evolving world of data science. Read on to know more about her career, […] The post Unlocking the Power of Analytics with Dr.

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7 Machine Learning Algorithms You Can’t Miss

KDnuggets

This list of machine learning algorithms is a good place to start your journey as a data scientist. You should be able to identify the most common models and use them in the right applications.

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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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Creating a bespoke LLM for AI-generated documentation

databricks

We recently announced our AI-generated documentation feature, which uses large language models (LLMs) to automatically generate documentation for tables and columns in Unity.

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A Deep Dive Into Sending With librdkafka

Confluent

Learn how to write code that produces messages via librdkafka, how it will behave during error situations, and how your application should detect and respond to them.

Coding 130

More Trending

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Why Spatial Data Governance is Critical to Your Business Strategy

Precisely

When speaking to organizations about data integrity , and the key role that both data governance and location intelligence play in making more confident business decisions, I keep hearing the following statements: “For any organization, data governance is not just a nice-to-have! “ “Everyone knows that 80% of data contains location information. Why are you still telling us this, Monica?

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What’s New in ArcGIS Pro 3.2

ArcGIS

From oriented imagery to engaging thematic map series, there is something for everyone in this release of ArcGIS Pro 3.2.

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A Comprehensive List of Resources to Master Large Language Models

KDnuggets

Large Language Models (LLMs) have now become an integral part of various applications. This article provides an extensive list of resources for anyone interested to dive into the world of LLMs.

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Databricks + Arcion: Real-time enterprise data replication to the Lakehouse

databricks

We are excited to announce that we have completed our acquisition of Arcion, a leading provider for real-time data replication technologies. Arcion’s capabilities w.

Data 134
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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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Dialpad Turns to Confluent and StarTree for Real-Time Customer Intelligence

Confluent

Learn how AI-powered customer intelligence platform Dialpad modernized its data infrastructure and improved customer satisfaction rates with Confluent and Startree.

IT 125
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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database.

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1. Streamlining Membership Data Engineering at Netflix with Psyberg

Netflix Tech

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Many metrics in Netflix’s financial reports are powered and reconciled with efforts from our team!

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What’s new from the geodatabase team in ArcGIS Pro 3.2

ArcGIS

Here's everything new in ArcGIS Pro 3.2 from the Geodatabase Team. Schema Reports, 64-bit OIDs, Big Integer fields, new date fields, etc.

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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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11 Python Magic Methods Every Programmer Should Know

KDnuggets

Want to support the behavior of built-in functions and method calls in your Python classes? Magic methods in Python let you do just that! So let’s uncover the method behind the magic.

Python 144
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Data Intelligence Platforms

databricks

The observation that "software is eating the world" has shaped the modern tech industry. Today, software is ubiquitous in our lives, from the.

Data 142
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Top 7 Free Apache Kafka Tutorials and Courses for Beginners in 2023

Confluent

The top 7 free online courses, tutorials, get started guides, and examples for the easiest way to learn Apache Kafka.

Kafka 131
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5 Reasons to Attend BUILD 2023: The Dev Conference for AI & Apps

Snowflake

BUILD 2023 is where AI gets real. Join our two-day virtual global conference and learn how to build with the app dev innovations you heard about at Snowflake Summit and Snowday. We have more demos and hands-on virtual labs than ever before—and you won’t find a bunch of slideware here. The focus is on tools and capabilities that are generally available or in public and private preview, so you can leave BUILD and put your new skills into action immediately.

Building 105
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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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Druid Deprecation and ClickHouse Adoption at Lyft

Lyft Engineering

Written by Ritesh Varyani and Jeana Choi at Lyft. Introduction At Lyft, we have used systems like Apache ClickHouse and Apache Druid for near real-time and sub-second analytics. Sub-second query systems allow for near real-time data explorations and low latency, high throughput queries, which are particularly well-suited for handling time-series data.

Kafka 103
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Deep Learning with ArcGIS Pro Tips & Tricks: Part 1

ArcGIS

Prepare your environment to run out-of-the-box deep learning geoprocessing tools in ArcGIS Pro. Machine learning is more accessible than ever with pre-trained models enabling you to extract data from your imagery.

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Learn Probability in Computer Science with Stanford University for FREE

KDnuggets

Probability is one of the foundational elements of computer science. Some bootcamps will skim over the topic, however, it is integral to your computer science knowledge.

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Enhancing your team’s performance by building a data culture

databricks

Defining what a data culture is can vary by organization. A data culture is the shared values, attitudes, and behaviors that enable organizations.

Building 124
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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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All of Netflix’s HDR video streaming is now dynamically optimized

Netflix Tech

by Aditya Mavlankar , Zhi Li , Lukáš Krasula and Christos Bampis High dynamic range ( HDR ) video brings a wider range of luminance and a wider gamut of colors, paving the way for a stunning viewing experience. Separately, our invention of Dynamically Optimized ( DO ) encoding helps achieve optimized bitrate-quality tradeoffs depending on the complexity of the content.

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AI prompt engineering benefits

InData Labs

AI prompt engineering has taken center stage in many professional circles as of late. This is because businesses have been able to garner better results with AI using prompt engineering techniques. With the right prompt engineering strategy, the results of all AI and ML applications are improved. Many individuals have also switched careers due to. Запись AI prompt engineering benefits впервые появилась InData Labs.

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How to Get a Data Science Job at Top Companies in 2023?

Knowledge Hut

The job market today emphasizes experience as a major criterion. Employers consider experienced professionals better candidates since they provide more value to the company. Are you interested in knowing how to become a data scientist with no experience  but not sure how to go about it? Here you will learn how to get your first data science job. To make t hings easier for you, here is a quick tip.

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Introducing the Geodatabase Resources Hub

ArcGIS

This blog introduces the Geodatabase Resources Hub, a one-stop shop for all content offered by Esri's Geodatabase Team.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Navigating Data Science Job Titles: Data Analyst vs. Data Scientist vs. Data Engineer

KDnuggets

No, they’re not the same jobs! Learn what responsibilities, skills, and tools used make them different. Then, choose the right career path for you.

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Introducing Python User-Defined Table Functions (UDTFs)

databricks

Apache Spark™ 3.5 and Databricks Runtime 14.0 have brought an exciting feature to the table: Python user-defined table functions (UDTFs). In this blog p.

Python 111
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How To Install OpenCV Python On Windows

Edureka

Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. OpenCV(open source computer vision library) is an open source computer vision and machine learning software library. OpenCV was build to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.

Python 98
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Running Unified PubSub Client in Production at Pinterest

Pinterest Engineering

Jeff Xiang | Software Engineer, Logging Platform Vahid Hashemian | Software Engineer, Logging Platform Jesus Zuniga | Software Engineer, Logging Platform At Pinterest, data is ingested and transported at petabyte scale every day, bringing inspiration for our users to create a life they love. A central component of data ingestion infrastructure at Pinterest is our PubSub stack, and the Logging Platform team currently runs deployments of Apache Kafka and MemQ.

Kafka 98
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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.