Wed.Aug 02, 2023

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Data Warehouses Vs Operational Data Stores Vs Data Lakes – How To Store Your Data For Analytics

Seattle Data Guy

A few months ago, I uploaded a video where I discussed data warehouses, data lakes, and transactional databases. However, the world of data management is evolving rapidly, especially with the resurgence of AI and machine learning. There are numerous other methods that technical teams are utilizing to handle their data effectively. In this presentation, I… Read more The post Data Warehouses Vs Operational Data Stores Vs Data Lakes – How To Store Your Data For Analytics appeared first

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The first state in Apache Spark Structured Streaming arbitrary stateful processing

Waitingforcode

When you wrote your first arbitrary stateful processing pipelines, the state expiration is maybe the first tricky point you had to deal with. Why is that? After all, it's just about setting the timeout, doesn't it? Most of the time, yes, but there is an exception.

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Precisely Women in Technology: Meet Monica Di Martino

Precisely

With an increasing number of women joining IT, it’s becoming a more inclusive environment. Precisely is committed to building a more inclusive work environment, which is why there are ample opportunities for women in the organization. One of the company’s initiatives is the Precisely Women in Technology (PWIT) program, that was established to be a place for women to come together, support each other, offer guidance, and more.

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A step-by-step guide to build an Effective Data Quality Strategy from scratch

Towards Data Science

A Step-by-Step Guide to Building an Effective Data Quality Strategy from Scratch How to build an interpretable data quality framework based on user expectations Photo by Rémi Müller on Unsplash As data engineers, we are (or should be) responsible for the quality of the data we provide. This is nothing new, but every time I join a data project I ask myself the same questions: When should I start working on data quality?

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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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KDnuggets News, August 2: ChatGPT Code Interpreter: Fast Data Science • Can’t Keep Up? Catch up on This Week in AI

KDnuggets

ChatGPT Code Interpreter: Do Data Science in Minutes • This Week in AI • Introduction to Statistical Learning, Python Edition: Free Book • 8 Programming Languages For Data Science to Learn in 2023 • Mastering GPUs: A Beginner's Guide to GPU-Accelerated DataFrames in Python

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Robinhood Reports Second Quarter 2023 Results

Robinhood

Robinhood Markets, Inc. (Nasdaq: HOOD) today reported financial results for the quarter ended June 30, 2023. Read our Q2 earnings press release here. Access more information at investors.robinhood.com. The post Robinhood Reports Second Quarter 2023 Results appeared first on Robinhood Newsroom.

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Announcing new security controls and compliance certifications for Azure Databricks and AWS Databricks SQL Serverless

databricks

We're excited to share a new set of security controls and compliance certifications that can help with regulatory compliance on Azure Databricks and.

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Using SHAP Values for Model Interpretability in Machine Learning

KDnuggets

Discover how SHAP can help you understand the impact of model features on predictions.

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Optimizing Materialized Views with dbt

dbt Developer Hub

Introduction ​ The year was 2020. I was a kitten-only household, and dbt Labs was still Fishtown Analytics. A enterprise customer I was working with, Jetblue, asked me for help running their dbt models every 2 minutes to meet a 5 minute SLA. After getting over the initial terror, we talked through the use case and soon realized there was a better option.

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Inflection-1: The Next Frontier of Personal AI

KDnuggets

Introducing Inflection-1: Inflection.AI’s in-house LLM using Pi.ai which is catered to your unique needs.

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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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Connect MySQL on Amazon RDS to BigQuery: 2 Ways to Integrate Data

Hevo

Businesses use Amazon RDS to simplify MySQL database management, enhance performance, and ensure high availability. MySQL on Amazon RDS to BigQuery migration offers a robust and scalable solution for businesses to perform advanced data analytics.

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How Windward Built Real-Time Logistics Tracking and AI Insights for the Maritime Industry

Rockset

Windward (LSE:WNWD), is the leading Maritime AI™ company, providing an all-in-one platform for risk management and maritime domain awareness needs to accelerate global trade. Windward monitors and analyzes what 500k+ vessels around the world are doing every day including where they go, what cargo is stored, how they handle inclement weather and what ports they frequent.

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Top 11 Programming Languages for Data Scientists in 2023

Edureka

In this digital transformation era, data is at the heart of decision-making. Data science has gained prominence, playing a crucial role in deriving insights from vast volumes of data. Aspiring data scientists must familiarize themselves with the best programming languages in their field. Programming Languages for Data Scientists Here are the top 11 programming languages for data scientists, listed in no particular order: 1.

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Agile Case Studies: Examples Across Various Industires

Knowledge Hut

Agile methodologies have gained significant popularity in project management and product development. Various industries have successfully applied Agile principles, showcasing experiences, challenges, and benefits. Case studies demonstrate Agile's versatility in software development, manufacturing, and service sectors. These real-world examples offer practical insights into Agile implementation, challenges faced, and strategies to overcome them.

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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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Top 10 Industrial Automation Companies to Watch in 2023?

Edureka

The automation sector is expanding quickly and advancing technologically, and a number of organisations are setting the bar for business process revolution in a variety of industries. The top automation businesses to watch in 2023 will be examined in greater detail in this article, along with their major inventions, effects on various industries, and contributions to automation.

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Ensure Reliable Data for AI Models | Acceldata

Acceldata

Learn how to create the right strategy for your AI and LLM models by ensuring accurate, healthy data.

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Two Ways to Build Event-Driven Serverless Applications Using Confluent Cloud and AWS Lambda

Confluent

Learn how to combine Lambda and Confluent to build event-driven serverless applications.

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Sunrise: Zalando's developer platform based on Backstage

Zalando Engineering

Introduction Since 2021, Zalando invested in building up a developer portal called Sunrise, aimed to become the starting point for Builders at Zalando. The portal is based on Spotify's Backstage platform with additional extensions built internally. Sunrise enables everyone at Zalando to view and discover information about teams, applications, APIs, events, CI/CD pipelines, Infrastructure accounts and costs, and much more.

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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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Top 10 Java Projects for Beginners in 2023

Edureka

Hello Everyone! The world of Java programming is yours to explore. It’s fantastic that you’re beginning a project with Java as a novice. Java is a strong and adaptable programming language used in a variety of applications, including mobile apps and web development. Here are some recommendations to help you begin your Java project : Install Java Development Kit (JDK): You must have the JDK installed on your computer before you can begin writing Java code.

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What is data processing analyst?

Edureka

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation.