Thu.Mar 02, 2023

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Understanding the Basics of Database Normalization

Analytics Vidhya

Introduction Data normalization is the process of building a database according to what is known as a canonical form, where the final product is a relational database with no data redundancy. More specifically, normalization involves organizing data according to attributes assigned as part of a larger data model. The main goals of database normalization are […] The post Understanding the Basics of Database Normalization appeared first on Analytics Vidhya.

Database 221
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ChatGPT for Data Science Cheat Sheet

KDnuggets

The latest KDnuggets cheat sheet covers using ChatGPT to your advantage as a data scientist. It's time to master prompt engineering, and here is a handy reference for helping you along the way.

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Streaming Ingestion for Apache Iceberg With Cloudera Stream Processing

Cloudera

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. In this blog post, we are going to share with you how Cloudera Stream Processing ( CSP ) is integrated with Apache Iceberg and how you can use the SQL Stream

Process 115
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What is a Data Mesh?

Confessions of a Data Guy

The post What is a Data Mesh? appeared first on Confessions of a Data Guy.

Data 130
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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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Top Free Data Science Online Courses for 2023

KDnuggets

Learn Data Science in 2023 for FREE with these online courses.

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Uber’s Sustainable Engineering Journey

Uber Engineering

As a leader in tech, Uber is a major proponent of sustainability and reducing carbon emissions. Join us in this blog post exploring some of the innovative tools, services, and practices we have developed to promote sustainable usage of engineering resources.

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7 Tips for Data Science Project Management

KDnuggets

Tips to help you plan and execute your data science projects efficiently and successfully.

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Gondola: an internal PaaS architecture for frontend app deployment

Yelp Engineering

The Yelp website serves millions of users and business owners each day, and engineers in our product teams are constantly adding and improving features across hundreds of pages. Webcore, Yelp’s frontend infrastructure team, is always looking to ensure that web developers can ship their changes quickly and safely, without the burden of maintaining complex team-specific infrastructure.

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Implementing Disaster Recovery for a Databricks Workspace

databricks

This post is a continuation of the Disaster Recovery Overview, Strategies, and Assessment and Disaster Recovery Automation and Tooling for a Databricks Workspace.

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With Data, Trust Comes First

Confluent

Perhaps the largest challenge for modern data teams is gaining and retaining trust. Insights without truth are worthless, so trustworthy results must come first.

Data 57
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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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Audacy Shifts to Data Pipeline Automation to Revitalize Radio Advertising

Ascend.io

Background Audacy is a media company that owns 235 radio stations and a portfolio of podcast channels across 48 media markets. It distributes content via branded streaming apps over the web, mobile, and smart home devices, as well as traditional over-the-air radio. Like most media companies, the revenue model consists of the delivery of advertising to segmented audiences across its media platforms.

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Latest IIM Raipur Courses: An encyclopedia of 2023

Edureka

Nobody likes to stay where they are in their careers. Everyone wants to advance quickly and reach their professional goals. But acquiring certain skills and capabilities is essential as we advance in our job. How can you do this? Can someone work and study simultaneously? Do reputed institutions offer short-duration certification courses? This article will give all the answers to the above questions.

Finance 52
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Are Healthcare Organizations Setting the Right 2023 Goals?

The Modern Data Company

Hospitals and healthcare organizations have no shortage of obstacles moving into 2023. Despite this dire proclamation, the healthcare industry has the opportunity to transform itself as long as it sets the right goals and supports them with analytics. Let’s look at some critical goals healthcare organizations can leverage data to support in order to build a strong, innovative foundation for the coming years.

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Hive to PostgreSQL Integration: 2 Easy Methods to Connect

Hevo

Data is an organization’s most important asset in the world today. Businesses need to efficiently store, handle, and analyze the growing amounts of data they produce. This article will explore the two prominent data storage systems organizations use: Hive and PostgreSQL.

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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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Must Read NLP Papers from the Last 12 Months

KDnuggets

The era of large language models is here now.

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Spatial Analytics at the 2023 Esri Developer Summit

ArcGIS

During the 2023 Esri DevSummit, explore the spatial analytics and data science capabilities in the ArcGIS ecosystem.

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Optimize Queries for Query History Metadata with Acceldata’s Data Observability Platform

Acceldata

Learn how to use Acceldata's cloud data observability platform to optimize queries for query history metadata.

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What’s new with Scene Layers (ArcGIS Pro 3.1)

ArcGIS

New functionality with Scene Layers at the ArcGIS Pro 3.1 release!

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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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Stream Rows and Kafka Topics Directly into Snowflake with Snowpipe Streaming

Snowflake

Snowflake enables organizations to be data-driven by offering an expansive set of features for creating performant, scalable, and reliable data pipelines that feed dashboards, machine learning models, and applications. But before data can be transformed and served or shared, it must be ingested from source systems. The volume of data generated in real time from application databases, sensors, and mobile devices continues to grow exponentially.

Kafka 125
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Throwing shade in wild color

ArcGIS

How to create multidirectional AND multicolored hillshade in ArcGIS Pro

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Ways to Manage Your Sales Pipeline

U-Next

Introduction One of the frequently used sales jargon is “sales pipeline.” If you spend any time with salespeople, you’ll hear them talk about “getting prospects in the pipeline,” “growing your pipeline,” and “filling your pipeline with hot leads.” A sales pipeline shows the stage of the sales process at which each of your prospects is, enabling you to estimate potential revenue and assess your company’s health.

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11 Ways To Stop Data Anomalies Dead In Their Tracks

Monte Carlo

A data anomaly is when the data is incorrect or missing as a result of bad data or broken data pipelines. Not only are data anomalies painful, they are costly to resolve. According to our research , the average organization experiences 61 data anomalies a month and takes more than 9 hours to resolve each one. That’s 549 engineering hours each month.

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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.

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Best Strategies to Proactively Pursue Your Prospect

U-Next

Introduction Prospecting is the cornerstone of the sales process. If you want your sales representatives to have a chance at hitting their financial objectives, you must offer them a significant number of prospects to deal with. Those prospects cannot be just anyone; they must be people who are a perfect match for your goods and will engage with the proposals you bring in front of them.

Media 74
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Data Governance: Concept, Models, Framework, Tools, and Implementation Best Practices

AltexSoft

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81 billion in 2020 to $5.28 billion by 2026.

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Sales Pipeline Forecasting: A Step-by-step Guideline

U-Next

Introduction Sales are the most crucial aspect of any company. Businesses need new ways to boost sales. Measuring current, historical, and prospective sales are must to accomplish this. Thus, giving businesses the capability to assess and monitor performance. According to 77% of salespeople, their company will invest significantly in AI sales products, including technology to automate sales forecasts without human errors.

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Audacy Shifts to Intelligent Data Pipelines to Accelerate Highly-Targeted Audience Growth

Ascend.io

Background Audacy is a media company that owns 235 radio stations and a portfolio of podcast channels across 48 media markets. It distributes content via branded streaming apps over the web, mobile, and smart home devices, as well as traditional over-the-air radio. Like most media companies, the revenue model consists of the delivery of advertising to segmented audiences across its media platforms.

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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.

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Build the Context You Need Around Your Data

Precisely

Data without context is like a house without a foundation. Although most organizations today agree that the effective use of data is an essential factor for business success, many struggle to use their data to drive outstanding customer experiences, automate and streamline processes, manage risk and compliance effectively, and drive more profit. The root cause of that struggle is often a lack of context.

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What is Flutter? – Discovering the Power of Flutter

Edureka

Flutter is a revolutionary framework that empowers developers to create stunning and highly performant applications for multiple platforms, including mobile, web, and desktop, using a single codebase. With Flutter, you can build beautiful and engaging user interfaces, incorporate animations and special effects, and seamlessly integrate with backend services.