Sat.Jul 01, 2023 - Fri.Jul 07, 2023

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Getting Started with Amazon SageMaker Ground Truth

Analytics Vidhya

Introduction In this era of Generative Al, data generation is at its peak. Building an accurate machine learning and AI model requires a high-quality dataset. The quality assurance of the dataset is the most critical task, as poor data causes inaccurate analytics and unidentified predictions that can affect the entire repo of any business and […] The post Getting Started with Amazon SageMaker Ground Truth appeared first on Analytics Vidhya.

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Twitter vs Instagram Threads: two different approaches to throttling

The Pragmatic Engineer

Originally published 6 July 2023 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. If you’re not yet a full subscriber, you missed this week’s deep-dive on What a senior engineer is at Big Tech. To get the full issues twice a week, subscribe here.

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Ballista (Rust) vs Apache Spark. A Tale of Woe.

Confessions of a Data Guy

Sometimes it seems like the Data Engineering landscape is starting to shoot off into infinity. With the rise of Rust, new tools like DuckDB, Polars, and whatever else, things do seem to shifting at a fundamental level. It seems like there is someone at the base of a titering rock with a crowbar, picking and […] The post Ballista (Rust) vs Apache Spark.

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Multiple queries running in Apache Spark Structured Streaming

Waitingforcode

That's often a dilemma, whether we should put multiple sinks working on the same data source in the same or in different Apache Spark Structured Streaming applications? Both solutions may be valid depending on your use case but let's focus here on the former one including multiple sinks together.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Data News — Snowflake and Databricks summits

Christophe Blefari

2 summits ( credits I cropped the image) Hey, since I said I should try to send the newsletter at a specific schedule I did not. Haha. Still here the newsletter for last week. This is a small wrap-up from the Snowflake and Databricks Data + AI summits which have taken place last week. There are so many sessions at both summits that this is impossible to watch everything, more Databricks and Snowflake do not put in free access online everything so I can't wait everything.

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How Data Engineering Teams Power Machine Learning With Feature Platforms

Data Engineering Podcast

Summary Feature engineering is a crucial aspect of the machine learning workflow. To make that possible, there are a number of technical and procedural capabilities that must be in place first. In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features.

More Trending

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Everything You Need to Know about Lean Project Management

Knowledge Hut

Lean in project management, where the word ‘lean’ is associated with less wastage and more value addition. Lean is an Agile methodology that helps industries to improve productivity, increase customer value, eliminate problems, enhance the organization’s processes, reduce waste, and encourage continuous improvement. Historically, it was first introduced in the manufacturing industry, but today it is prevalent in almost every industry, including healthcare, education, software d

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Reinforcement Learning: Teaching Computers to Make Optimal Decisions

KDnuggets

Reinforcement learning basics to get your feet wet. Learn the components and key concepts in the reinforcement loading framework: from agents and rewards to value functions, policy, and more.

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Unlocking Data Modeling Success: 3 Must-Have Contextual Tables

Towards Data Science

And how to ingest valuable data for free Photo by Tobias Fischer on Unsplash Data modeling can be a challenging task for analytics teams. With unique business entities in every organization, finding the right structure and granularity for each table becomes open-ended. But fear not! Some of the data you need is simplistic, free, and occupies minimal storage.

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3D GIS and Digital Twin at the 2023 Esri User Conference

ArcGIS

Learn more about 3D GIS and Digital Twins at the 2023 Esri User Conference, which takes place on July 11-14, 2023.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Pattern Recognition in Machine Learning [Basics & Examples]

Knowledge Hut

Pattern recognition is a field of computer science that deals with the automatic identification of patterns in data. This can be done by finding regularities in the data, such as correlations or trends, or by identifying specific features in the data. Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection.

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Unraveling the Power of Chain-of-Thought Prompting in Large Language Models

KDnuggets

This article delves into the concept of Chain-of-Thought (CoT) prompting, a technique that enhances the reasoning capabilities of large language models (LLMs). It discusses the principles behind CoT prompting, its application, and its impact on the performance of LLMs.

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The Executive’s Guide to Data, Analytics and AI Transformation, Part 6: Allocate, monitor and optimize costs

databricks

This is part six of a multi-part series to share key insights and tactics with Senior Executives leading data and AI transformation initiatives.

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Maintain Measure Attributes

ArcGIS

ArcGIS methods to maintain measure attributes on LRS routes along with samples and linear referencing use cases.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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What is Operation Research in Project Management?

Knowledge Hut

In a world of limitless possibilities driven by cutting-edge technology, innovations, and artificial intelligence, businesses can no longer rely on traditional models for opportunities and expansion. While traditional KPIs may still be important to certain aspects of business and economics, current times demand more enduring efforts to match up with the fast-paced environment and business tactics.

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How to Build a Streaming Semi-structured Analytics Platform on Snowflake

KDnuggets

Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume. At the same time analytics layer also needs to be created so as to generate value from it.

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How to Build a Credit Data Platform on the Databricks Lakehouse

databricks

Get started and build a credit data platform for your business by visiting the demo at dbdemos.ai. Introduction According to the World Bank's.

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How to Use DBT to Get Actionable Insights from Data?

Workfall

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights. With DBT, they weave powerful SQL spells to create data models that capture the essence of their organization’s information.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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The Future of Java: Top Trends and Technologies

Knowledge Hut

For over 2 decades, Java has been the mainstay of app development. It is one of the most versatile web development tools today and hence popular among app developers. Another reason for its popularity is its cross-platform and cross-browser compatibility, making applications written in Java highly portable. These very qualities gave rise to the need for reusability of code, version control, and other tools for Java developers.

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KDnuggets News, July 5: A Rotten Data Science Project • 10 AI Chrome Extensions for Data Scientists Cheat Sheet

KDnuggets

Data Science Project of Rotten Tomatoes Movie Rating Prediction: First Approach • 10 AI Chrome Extensions for Data Scientists Cheat Sheet • Generate Music From Text Using Google MusicLM • 5 Free Books on Natural Language Processing to Read in 2023 • Stable Diffusion: Basic Intuition Behind Generative AI

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How Databricks Unity Catalog Helped Amgen Enable Data Governance at Enterprise Scale

databricks

This blog authored post by Jaison Dominic, Senior Manager, Information Systems at Amgen, and Lakhan Prajapati, Director of Architecture and Engineering at ZS.

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Simplify Airflow DAG Creation and Maintenance with Hamilton in 8 minutes

Towards Data Science

How Hamilton can help you write more maintainable Airflow DAGs An abstract representation of how Airflow & Hamilton relate. Airflow helps bring it all together, while Hamilton has make the innards manageable. Image from Pixabay. This post is written in collaboration with Thierry Jean and originally appeared here. This post walks you through the benefits of having two open source projects, Hamilton and Airflow , and their directed acyclic graphs (DAGs) work in tandem.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Meet Ankit Garg, Our July Confluent Champion

Confluent

Meet Senior Software Engineer Ankit Garg. Find out about all the interesting projects he’s working on—and how Confluent provides him with opportunities for growth.

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A Guide to Data Science Project Management Methodologies

KDnuggets

Project management can be one of the biggest challenges in data science projects. Learn how you can ensure your project management methods are down-packed and effective.

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When Change Data Capture Wins

Striim

A guide on when real-time data pipelines are the most reliable way to keep production databases and warehouses in sync. Sarah Krasnik · Published in Towards Data Science · Oct 7, 2022 Photo by American Public Power Association on Unsplash Co-written with John Kutay of Striim Data warehouses emerged after analytics teams slowed down the production database one too many times.

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Examining Flights in the U.S. with AWS and Power BI

Towards Data Science

∘ Introduction ∘ Problem Statement ∘ Data ∘ AWS Architecture ∘ Data Storage with AWS S3 ∘ Designing the Schema ∘ ETL with AWS Glue ∘ Data Warehousing with AWS Redshift ∘ Extracting Insights…

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Reset Connect Conference 2023 by Anna Caulfield

Scott Logic

In this post, I share the top things that resonated with me from the Reset Connect Conference 2023 and crucially some of the topics that I felt were missing – and that we at Scott Logic are actively researching and working on. To give you some context, the event is the UK’s largest sustainability ecosystem and green investment event – the flagship event of London Climate Action Week.

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Top Posts June 26 – July 2: 3 Ways to Access GPT-4 for Free

KDnuggets

3 Ways to Access GPT-4 for Free • Evolution of the Data Landscape • AI Chrome Extensions for Data Scientists Cheat Sheet • 7 Ways ChatGPT Makes You Code Better and Faster • A Comparison of Machine Learning Algorithms in Python and R

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Improving XRP Ledger Throughput

Ripple Engineering

Throughput is the most important non-functional capability for transaction processing networks such as the XRP Ledger. This project depends on ever-increasing utilization to succeed. Therefore, the XRP Ledger needs to continuously improve its capacity. This post describes the role of analysis in improving throughput of the XRP Ledger. The process was first used at Ripple in 2015.

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Top SQL Project Ideas to Work on 2023 with Source Code

Knowledge Hut

SQL, or Structured Query Language, is one the most widely used programming languages, which has not changed in decades. It is simple to use and understand as compared to other programming languages. SQL is responsible for fetching the relevant data as per the requirement from the vast data store known as databases. This blog aims to cover SQL projects which can help you enhance your SQL skillset.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.