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 116
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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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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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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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Career stories: Spotlighting Technical Program Management

LinkedIn Engineering

Based in Silicon Valley, Priya serves on LinkedIn Engineering’s Technical Program Management (TPM) team, supporting our large-scale, AI and Knowledge Graph programs. A mom of two and co-founder of a dance nonprofit, she spotlights for us the TPM specialty at LinkedIn, her transition from product manager to TPM, the transition from contractor to full-time, and the power of soft skills.

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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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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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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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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.

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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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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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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 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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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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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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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.

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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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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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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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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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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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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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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.