Sat.Dec 04, 2021 - Fri.Dec 10, 2021

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Building a solid data team

KDnuggets

How do you put together a solid data science team when it comes to developing data-driven products? A variety of roles are available to consider, so which ones do you need and which are most crucial?

Building 160
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Serverless Stream Processing with Apache Kafka, AWS Lambda, and ksqlDB

Confluent

It seems like now more than ever developers are surrounded by a sea of terminology—but what does it really all mean? Here, we will take some often heard terms—some considered […].

AWS 125
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Data Driven Hiring For Data Professionals With Alooba

Data Engineering Podcast

Summary Hiring data professionals is challenging for a multitude of reasons, and as with every interview process there is a potential for bias to creep in. Tim Freestone founded Alooba to provide a more stable reference point for evaluating candidates to ensure that you can make more informed comparisons based on their actual knowledge. In this episode he explains how Alooba got started, how it is being used in the interview process for data oriented roles, and how it can also provide visibility

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Delivering High Performance for Cloudera Data Platform Operational Database (HBase) When Using S3

Cloudera

CDP Operational Database (COD) is a real-time auto-scaling operational database powered by Apache HBase and Apache Phoenix. It is one of the main Data Services that runs on Cloudera Data Platform (CDP) Public Cloud. You can access COD right from your CDP console. With COD, application developers can now leverage the power of HBase and Phoenix without the overheads related to deployment and management.

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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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Should You Become a Freelance Artificial Intelligence Engineer?

KDnuggets

Take the first step towards your machine learning engineering career and explore the UC San Diego Extension Machine Learning Engineering Bootcamp today. Those with prior software engineering or data science experience are encouraged to apply.

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Getting Started with Apache Kafka in Python

Confluent

Welcome Pythonistas to the streaming data world centered around Apache Kafka®! If you’re using Python and ready to get hands-on with Kafka, then you’re in the right place. This blog […].

Kafka 120

More Trending

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The Best Time to Kickstart Your Data Strategy Was Yesterday, the Next Best Time Is Now

Cloudera

About the report. The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. Organizations were evaluated based on their current use of data and analytics, parties championing the use of data and the extent to which data is used across processes, the presence of enterprise data strategies, and the extent to which capabilities relating to

Data 81
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Deep Neural Networks Don’t Lead Us Towards AGI

KDnuggets

Machine learning techniques continue to evolve with increased efficiency for recognition problems. But, they still lack the critical element of intelligence, so we remain a long way from attaining AGI.

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How to Visualise Confluent Cloud Audit Log Data

Confluent

At Confluent, we’re serious about security, and we’re focused on simplifying security visibility across our cloud and on-premises solution. This blog demonstrates how to monitor Confluent Cloud authorization events using […].

Cloud 113
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Snaring the Bad Folks

Netflix Tech

Project by Netflix’s Cloud Infrastructure Security team ( Alex Bainbridge , Mike Grima , Nick Siow) Cloud security is a hard problem, but an even harder one is cloud security at scale. In recent years we’ve seen several cloud focused data breaches and evidence shows that threat actors are becoming more advanced with their techniques, goals, and tooling.

AWS 78
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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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How Hybrid and Cloud-Based Architectures are Unlocking the Power of Data

Cloudera

It takes vision, purpose, and skill to unlock the power of data. It also takes the right strategy. . For ExxonMobil, Ares Trading (Merck), and the University of California San Diego (UCSD), the right strategy is taking full advantage of the cloud. All three organizations have partnered with Cloudera, leveraging a hybrid or cloud-based architecture to improve the lives of the people who depend on their organizations’ data.

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Main 2021 Developments and Key 2022 Trends in AI, Data Science, Machine Learning Technology

KDnuggets

Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

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18 New Fully Managed Connectors for AWS, Azure, Salesforce, and More!

Confluent

In our February 2020 blog post Celebrating Over 100 Supported Apache Kafka® Connectors, we announced support for more than 100 connectors on Confluent Platform. Since then, we have been focused […].

AWS 103
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Data-Driven in 2022: Data Management Opportunities in the Year Ahead

DataKitchen

The post Data-Driven in 2022: Data Management Opportunities in the Year Ahead first appeared on DataKitchen.

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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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10 Unique Business Intelligence Projects with Source Code 2023

ProjectPro

Chilly December is here! And we do want our curious readers to feel warm in their blankets and conserve their energy when searching for projects on business intelligence. Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business.

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Introduction to Binary Classification with PyCaret

KDnuggets

PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few lines only. See how to use it for binary classification.

Coding 156
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Wrap-up of Rockset at AWS re: Invent 2021

Rockset

Rockset just returned from AWS re: Invent in Las Vegas, and our team reports that interest in Rockset and real-time analytics was high. Rockset had a booth on the show floor and also held private meetings with current and potential customers. Rockset's booth was busy! Shruti Bhat, Rockset’s CTO & SVP of Marketing, described the show as amazing, and said it felt great to be back at the show in person after missing the in-person experience in 2020 due to the pandemic.

AWS 52
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What is embedded analytics, and how does it benefit BI?

DataKitchen

The post What is embedded analytics, and how does it benefit BI? first appeared on DataKitchen.

BI 97
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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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Healthcare data management & its importance for better patient outcomes

InData Labs

In today’s digitized medical landscape, effective treatment and better outcomes for patients depend on the smart use of medical data. Healthcare data management treats data as a powerful asset and improves health services. The rise of EHR/EMR systems also promotes more effective handling of patient data. Thus, over half of the surveyed US patients have.

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Using Datawig, an AWS Deep Learning Library for Missing Value Imputation

KDnuggets

A lot of missing values in the dataset can affect the quality of prediction in the long run. Several methods can be used to fill the missing values and Datawig is one of the most efficient ones.

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15 Generative Adversarial Networks (GAN) Based Project Ideas

ProjectPro

Dive into the generative adversarial networks applications through some of the cool and interesting GAN projects to work on. But let’s put first things first and look into how GANs look. Table of Contents What are Generative Adversarial Networks (GAN)? 15 Interesting Generative Adversarial Networks (GANs) Project Ideas To Work On Generative Adversarial Networks (GAN) Project Ideas for Beginners Intermediate Level Practical GAN Project Ideas Advanced GAN Based Project Ideas What are Generat

Project 52
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A Migration is Like Moving!

Teradata

Think of any upgrade, migration, or competitive migration, which at Teradata is known as “Sweep,” as if it were a move of your residence, which of course, it is - for your business.

IT 52
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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

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DataOps Therapy with DataKitchen’s Founders

DataKitchen

In a rare exclusive, DataKitchen's Founders, Eric Estabrooks, Gil Benghiat & Chris Bergh, give some much-needed DataOps Therapy & Data & Analytics advice. The post DataOps Therapy with DataKitchen’s Founders first appeared on DataKitchen.

Data 52
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Top Stories, Nov 29 – Dec 5: Why Machine Learning Engineers are Replacing Data Scientists

KDnuggets

Also: How to Get Certified as a Data Scientist; 5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022; Most Common SQL Mistakes on Data Science Interviews; 19 Data Science Project Ideas for Beginners.

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What is Data Integrity?

Grouparoo

Organizations collect and leverage data on an ever-expanding basis to inform business intelligence and optimize practices. Data allows businesses to gain a greater understanding of their suppliers, customers, and internal processes. Extracting and maximizing the value of the information contained within data can boost productivity, revenues, and profitability.

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Data Engineering Annotated Monthly – November 2021

Big Data Tools

The holiday season is almost upon us! And what better time than the holidays to catch up on the latest news and read about other interesting topics? Hi, I’m Pasha Finkelshteyn , and I’ll be your guide today through this month’s installment of the Data Engineering Annotated Monthly. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community.

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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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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more.

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Analyzing Scientific Articles with fine-tuned SciBERT NER Model and Neo4j

KDnuggets

In this article, we will be analyzing a dataset of scientific abstracts using the Neo4j Graph database and a fine-tuned SciBERT model.

Datasets 160
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Crafting Eventbrite’s Data Vision

Eventbrite Engineering

Data-driven decisions are the irrefutable holy grail for any company, especially one like Eventbrite, whose mission is to connect the world through live experiences. I joined the Briteland to lead the Data Org, merging data-platform engineering, analytics engineering, product analytics, strategic insights and data science under one umbrella with a North Star of leveraging our … Continue reading "Crafting Eventbrite’s Data Vision" The post Crafting Eventbrite’s Data Vision appea

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Data Engineering Annotated Monthly – November 2021

Big Data Tools

The holiday season is almost upon us! And what better time than the holidays to catch up on the latest news and read about other interesting topics? Hi, I’m Pasha Finkelshteyn , and I’ll be your guide today through this month’s installment of the Data Engineering Annotated Monthly. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.