Sat.Nov 11, 2023 - Fri.Nov 17, 2023

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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.

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The Data Discovery Team

Jesse Anderson

A Guest Post by Ole Olesen-Bagneux In this blog post I would like to describe a new data team, that I call ‘the data discovery team’. It’s a team that connects naturally into the constellation of the three data teams Operations team Data engineering team Data Science team as described in Jesse Anderson’s book Data Teams (2020) Before I explain what the data discovery team should do, it is necessary to add a bit of context on the concept of data discovery itself.

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Apache Druid: Who’s Using It and Why?

Seattle Data Guy

Image Source: Druid The past few decades have increased the need for faster data. Some of the catalysts were the push for better data and decisions to be made around advertising. In fact, Adtech has driven much of the real-time data technologies that we have today. For example, Reddit uses a real-time database to provide… Read more The post Apache Druid: Who’s Using It and Why?

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Apache Flink - anatomy of a job

Waitingforcode

Have you written your first successful Apache Flink job and are still wondering the high-level API translates into the executable details? I did and decided to answer the question in the new blog post.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Fleetclusters for Databricks + AWS to reduce Costs.

Confessions of a Data Guy

Show me the money. That’s what it’s all about. I have a question for you, to tickle your ears and mind. Get you out of that humdrum funk you are in. Here is my question, riddle me this all you hobbits. “Of what use is, and what good does the best and most advanced architecture […] The post Fleetclusters for Databricks + AWS to reduce Costs. appeared first on Confessions of a Data Guy.

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5 Free Courses to Master Data Science

KDnuggets

Want to break into data science? Start upskilling today with these free courses to learn programming, data analysis, and machine learning.

More Trending

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Unapologetically Technical Episode 6 – Matteo Merli

Jesse Anderson

Another month, another episode! In this episode of Unapologetically Technical, I interview Matteo Merli the co-creator of Apache Pulsar and CTO of StreamNative. We talk about his interest in creating communication protocols and how that morphed into creating Apache Pulsar. He shares why Pulsar was created at Yahoo and how they convinced and managed to create new projects.

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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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The 5 Best Vector Databases You Must Try in 2024

KDnuggets

The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications.

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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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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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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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Google Cloud vs AWS- Which is Better: A Comparison

Knowledge Hut

Cloud computing has become an integral part of the IT sector. The days of struggling with complicated networking and on-premise server rooms are long gone. Thanks to cloud computing, services are now secure, reliable, and cost-effective. When we talk of top cloud computing providers, there are 2 names that are ruling the markets right now- AWS and Google Cloud.

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Optimizing Data Analytics: Integrating GitHub Copilot in Databricks

KDnuggets

Integrating AI-powered pair programming tools for data analytics in Databricks optimizes and streamlines the development process, freeing up developer time for innovation.

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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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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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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.

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How Start Ups Can Benefit From Cloud Computing?

Knowledge Hut

From nebulous beginnings, the cloud has grown into a platform that has gained universal acceptance and is transforming businesses across industries. Companies that have adopted cloud technology have seen significant payoffs, with cloud-based tools redefining their data storage, data sharing, marketing and project management capabilities. The easy availability of affordable cloud infrastructure has made it so easy to set up new businesses that the economy is all set for a start up boom which has

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Back to Basics Week 2: Database, SQL, Data Management and Statistical Concepts

KDnuggets

Welcome back to Week 2 of KDnuggets’ "Back to Basics" series. This week, we delve into the vital world of Databases, SQL, Data Management, and Statistical Concepts in Data Science.

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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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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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3. Psyberg: Automated end to end catch up

Netflix Tech

By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Now, let’s explore the state of our pipelines after incorporating Psyberg.

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Top 10 Trending Courses in Information Technology 2023

Knowledge Hut

The best part to jump on the bandwagon of information technology or IT is, there is an enormous possibility for an individual if he or she starts studying for a diploma or a degree, does either a master's degree or a research course. He or she can get a full-fledged engineering degree. We have listed down here in order of priority, top to down for beginners to an advanced level technical course that an IT aspirant looks for. 1.

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Master Data Science with the 3rd Best Online Program

KDnuggets

Go beyond business analytics with Bay Path University's Flexible MS in Applied Data Science. Enrolling now for March.

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Deep Learning for Image Analyst – What’s New in ArcGIS Pro 3.2

ArcGIS

This blog details the new features and enhancements that were add for deep learning using the Image Analyst extension - for Pro 3.2.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Announcing the General Availability of Azure Databricks support for Azure confidential computing (ACC)

databricks

Today we are excited to announce the general availability of Azure Databricks support for Azure confidential computing (ACC)! With support for Azure confidential.

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Is Aws Certification Worth It?

Knowledge Hut

One of the biggest challenges faced by corporations today when it comes to cloud adoption is the lack of cloud expertise. There is a clear shortage of professionals certified with Amazon Web Services (AWS). As far as AWS certifications are concerned, there is always a certain debate surrounding them. It is argued that certifications are not always the best measure of competence.

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A Microsoft Engineer’s Guide to AI Innovation and Leadership

KDnuggets

Dive into the insights of AI innovation with Microsoft's Senior Software Engineer, Manas Joshi: A journey of technology, triumph, and teachings for the next generation.

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2. Diving Deeper into Psyberg: Stateless vs Stateful Data Processing

Netflix Tech

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team. In this post, we will delve into a more detailed exploration of Psyberg’s two primary operational modes: stateless and stateful.

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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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Python Dependency Management in Spark Connect

databricks

Managing the environment of an application in a distributed computing environment can be challenging. Ensuring that all nodes have the necessary environment to.

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AWS Certified Professionals' Salary for Different Roles in 2023

Knowledge Hut

Amazon Web Services, better known as AWS, has become a very popular cloud computing method over the last few years since it was launched. This is mostly due to the fact that AWS is much easier to use compared to a lot of other cloud services. So if you are wondering what is the average AWS certification salary in 2023, then this article can help you out.

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Everything you need to become a SAS Certified Machine Learning Engineer

KDnuggets

Read on to find out everything you need to become a SAS Certified Machine Learning Engineer.

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Detecting Speech and Music in Audio Content

Netflix Tech

Iroro Orife , Chih-Wei Wu and Yun-Ning (Amy) Hung Introduction When you enjoy the latest season of Stranger Things or Casa de Papel (Money Heist) , have you ever wondered about the secrets to fantastic story-telling, besides the stunning visual presentation? From the violin melody accompanying a pivotal scene to the soaring orchestral arrangement and thunderous sound-effects propelling an edge-of-your-seat action sequence, the various components of the audio soundtrack combine to evoke the very

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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.