The hottest Data Management Substack posts right now

And their main takeaways
Category
Top Technology Topics

Operational Use case Patterns for Apache Kafka and Flink — Part 1

Tributary Data • 0 implied HN points • 03 Jan 23
🕹 Technology Data Platforms Stream Processing Microservices Data Management
  1. Operational use cases with Kafka and Flink are crucial for business operations due to their message ordering, low latency, and exactly-once delivery guarantees.
  2. Using polyglot persistency with different data stores for read and write purposes can help solve the mismatch between write and read paths in microservices data management.
  3. Implementing a backend rate limiter using Flink as a Kafka consumer can help prevent exhausting an external system (e.g., a database) due to high message arrival rates from Kafka.

Artificial Intelligence is a Compost Heap (Ideally)

Cybernetic Forests • 0 implied HN points • 19 Dec 21
🕹 Technology Artificial Intelligence Data Management Machine Learning Autonomous Vehicles
  1. Artificial Intelligence can be thought of as a living system like a compost heap, breaking down and reorganizing to produce something new.
  2. Metaphors play a crucial role in how we perceive and design AI, shifting from brain-centric models to organic and dynamic models like compost intelligence.
  3. Compost intelligence could offer benefits like data decomposition freeing up energy, designing for self-regulation, and emphasizing emergence and nurturing in creating richer outcomes.

How I re-categories 14K products using plang

Ingig • 0 implied HN points • 06 Mar 24
🕹 Technology Data Management Programming
  1. Re-categorizing 14K products using plang saved time and money by automating the process for about $20 and an hour of developer work.
  2. The strategy included exporting product data to CSV, using OpenAI Playground to construct system commands, and then running Plang code to update the database with mapped product categories.
  3. By creating an efficient process using Plang, the task of categorizing 14K products was completed with minimal cost and a low error rate.

10/28 Tech Buzz China Insider Digest

Tech Buzz China Insider • 0 implied HN points • 29 Oct 21
🕹 Technology Ecommerce Social media Data Management Software Development Open Source
  1. Douyin is posing strong competition to Alibaba's Tmall in certain product categories like bags & accessories, and clothing, with high GMV
  2. Top live streamers like Austin and Viya in China generated an impressive $3Bn in GMV within a short period, highlighting the massive impact of live shopping in the market
  3. PingCAP, a $3Bn open-source database unicorn, is prominent for its TiDB product, which serves as a distributed SQL database for elastic scale and real-time analytics
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The Rise of the Data Product Manager

The Orchestra Data Leadership Newsletter • 0 implied HN points • 17 Nov 23
🕹 Technology Data Management Product Management Data Tools Data Infrastructure Marketplaces
  1. The role of Data Product Manager is gaining importance in the data industry, with a focus on delivering value and advocating for data to drive business outcomes.
  2. Tools like Fivetran, dbt, Snowflake, and platforms like Orchestra are simplifying data team setups and enabling Product Managers with less technical skills to handle data initiatives effectively.
  3. Federated teams, marketplace functionalities by Databricks and Snowflake, and the evolving concept of data quality and productization are shaping the field of data management towards a more product-led approach.

Data Leadership #2 Understanding Data Lake Architecture

The Orchestra Data Leadership Newsletter • 0 implied HN points • 08 Oct 23
🕹 Technology Data Management Cloud Computing Data Warehousing Data Analysis
  1. Understanding the architectural structure of data lakes is crucial for data leaders to make informed decisions on data storage.
  2. File formats play a significant role in data storage efficiency, querying capabilities, and overall costs in a data lake architecture.
  3. Choosing between data lake providers or data warehouses can be complex due to the influence of underlying technologies, like object stores and file formats.

Data Leadership #1 Why being a Head of Data isn't what you think it is

The Orchestra Data Leadership Newsletter • 0 implied HN points • 04 Oct 23
🕹 Technology Data Management Data Strategy Data Literacy
  1. Being a Head of Data involves more than just solving problems, it requires aligning stakeholders, data cleanliness, and resources.
  2. Responsibilities as a Head of Data may shift towards evangelizing data tools, advocating for data strategy, and applying domain knowledge to solve business problems.
  3. Data leadership in a less mature data environment should focus on hitting crucial data use cases, getting leadership buy-in, and marketing the value of data within the organization.

Why Power Platform admins need to be SharePoint admins too.

Power Platform News • 0 implied HN points • 25 May 24
🕹 Technology Software Data Management
  1. SharePoint lists are widely used due to their ease of use and 'free' licensing, making them a popular choice for building apps.
  2. Dataverse may not always live up to its promise in practical use, and many organizations continue to prefer SharePoint lists for their applications.
  3. Microsoft sees value in maintaining both SharePoint lists and Dataverse to cater to different needs and competition in the market, leading to a need for Power Platform admins to also have SharePoint admin skills.

Automation Centre in the Power Platform

Power Platform News • 0 implied HN points • 21 May 24
🕹 Technology Automation Data Management
  1. The Automation Centre in Power Automate is a new feature that will assist makers in monitoring flows in their environment more efficiently.
  2. It provides data almost within an hour, which is an improvement from the traditional CoE kit that had a one-day delay.
  3. Premium licensing is required for the Automation Centre and it is not available for the default environment.

Gradient Flow #43: Graph Databases; Language Understanding; Program Synthesis

Gradient Flow • 0 implied HN points • 09 Sep 21
🕹 Technology Data Management Machine Learning Natural Language Processing Deep Learning Forecasting
  1. Graph databases and graph analytics are growing in interest, with use cases and applications expanding.
  2. The NLP Summit offers insights from leading organizations and researchers in the field of Natural Language Processing.
  3. Tools like Darts for time series forecasting and River for online machine learning are open-source libraries enabling easier adoption of advanced machine learning techniques.

Gradient Flow #17: RL for Recommenders, AI Assurance, Traffic Prediction

Gradient Flow • 0 implied HN points • 10 Sep 20
🕹 Technology AI Machine Learning Infrastructure Data Management Tech industry
  1. AI Assurance focuses on building tools to scale AI operations, bringing together various organizational stakeholders.
  2. Machine learning tools are evolving with a rise in natural language interfaces to databases and advancements in differential privacy techniques.
  3. Graph Neural Networks are showing promise in traffic prediction, potentially improving real-time ETA accuracy by up to 50%.

A Digital Debt Crisis?

The Digital Anthropologist • 0 implied HN points • 29 Jan 24
🕹 Technology AI Data Management
  1. A Digital Debt Crisis could lead to better technologies and innovations that benefit everyone.
  2. Technology debt in organizations may impact the market, lead to complex IT systems, and cause declines in digital technology usage.
  3. A Digital Debt Crisis may result in fewer investments in new technology but could drive improvements in software quality and better data management.

Workplace Culture & AI: It Gets Complicated Fast

The Digital Anthropologist • 0 implied HN points • 02 Jan 24
🕹 Technology AI Workplace culture Machine Learning Data Management Automation
  1. Introducing AI agents in the workplace can lead to complex cultural impacts and challenges that traditional AI tools don't pose.
  2. AI agents, with agency and social interactions, can become social actors and adopt traits of their workplace environment, which includes toxic or empowering cultures.
  3. The use of AI agents in the workplace brings forth unique complications such as knowledge management risks, governance challenges, and the need to redefine productivity metrics beyond traditional approaches.

What do we mean by ‘High Availability’ in the Cloud?

realkinetic • 0 implied HN points • 25 May 23
🕹 Technology Cloud Computing Infrastructure Data Management System Architecture Incident Response
  1. Availability is expressed as a percentage of uptime; higher percentages require substantial investment and multi-team efforts
  2. Achieving high availability in the cloud involves significant costs and considerations like multi-master databases, multi-zonal deployments, and failover testing
  3. Five nines (99.999%) availability is considered the gold standard, but it requires extensive resources, multi-region support, and rigorous infrastructure and data replication

Clash of Tech Civilisations

Sector 6 | The Newsletter of AIM • 0 implied HN points • 05 Jan 23
🕹 Technology Cloud Computing Database Systems Market Trends Data Management Tech industry
  1. Cloud database providers like Redis and MongoDB are facing major challenges from big companies like AWS, Microsoft, and Google.
  2. These cloud giants have recently grabbed a larger share of the database market, taking 6% from traditional leaders like IBM and Oracle.
  3. In the past, the top companies controlled almost all of the market, but now their dominance is slipping due to the rise of cloud solutions.

LangGraph Introduced SubGraphs

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 30 Jul 24
🕹 Technology Artificial Intelligence Software Development UI/UX Design Machine Learning Data Management
  1. LangGraph allows users to create and manage states using graphs. This helps in making complex conversation flows simpler and more organized.
  2. Sub-graphs can perform specific tasks like summarizing logs separately while still connecting back to a main graph. This lets each section work independently but share important information.
  3. LangGraph is flexible and lets users visualize and modify conversation flows easily. It works with regular Python functions, making it adaptable for various applications.

LangChain Just Launched LangGraph Cloud

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 01 Jul 24
🕹 Technology Artificial Intelligence Software Development Cloud Computing Data Management NLP
  1. LangGraph Cloud is a new service that helps users build and host their LangGraph applications easily. It's like having a managed platform to run your projects without worrying about servers.
  2. Agents are becoming more common and can handle complicated user questions automatically. They break tasks into smaller steps, making it easier to manage them.
  3. LangGraph Studio lets users visualize how data flows in their applications. This tool helps with debugging and understanding processes, even though you can't change the code directly in it.

LLamaIndex Agentic RAG Demo

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 01 Feb 24
🕹 Technology AI Software Machine Learning Data Management Systems Architecture
  1. Agentic RAG uses a system of smaller agents to answer questions across multiple documents. Each smaller agent focuses on its own document, which helps organize the information better.
  2. This setup allows for comparing different documents and summarizing specific ones easily. It's a flexible way to dig into complex topics.
  3. The architecture is designed to scale by adding more agents as needed. This means it can grow and adapt to handle more information over time.

Prompt-RAG: Vector Embedding Free Retrieval-Augmented Generation

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 26 Jan 24
🕹 Technology AI Language Models Data Management Machine Learning Software Development
  1. Prompt-RAG is a simpler way to use language models without needing complex data setups like vector embeddings. This makes it easier to apply for specific tasks.
  2. It uses a Table of Contents to find the right information quickly, which helps generate more accurate responses to user questions.
  3. While it's great for small projects, it may face challenges with larger data or technical scaling as needs grow.

LLM Drift, Prompt Drift, Chaining & Cascading

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 27 Sep 23
🕹 Technology AI Language Models Automation Data Management User Interaction
  1. LLM Drift refers to the changes in the responses of language models over time, where their accuracy can significantly decline.
  2. Prompt Drift happens when the same prompt gives different responses because of changes in the model or data, even if the prompt itself hasn't changed.
  3. Cascading occurs when errors from one part of a process affect subsequent parts, making issues worse as they go along.

Foundation Conversational AI Technologies

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 10 Feb 23
🕹 Technology AI NLP Voicebots Chatbots Data Management
  1. Conversational AI (CAI) technologies are grouped by their areas, but sometimes it's tricky to fit them into just one category. Many technologies overlap.
  2. The focus is mainly on foundational technologies instead of specific products or solutions, which are too numerous to cover in detail.
  3. Feedback and suggestions for improvement are encouraged to make future versions better.

The Cobus Quadrant™ Of NLU Design

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 09 Feb 23
🕹 Technology AI NLP Chatbots Data Management
  1. Understanding customer intent is key to making chatbots work well. Starting with what customers want helps create better and more trusted AI experiences.
  2. NLU Design is about turning messy data into clear information for chatbots. It involves organizing unstructured data and using both human input and machine help to label and manage it.
  3. Improving chatbots requires ongoing evaluation and fine-tuning. Regularly checking their performance and making adjustments helps keep them responsive to users' needs.

Stop using UUIDs: The Modern ID Spec

Getting Traction • 0 implied HN points • 12 May 24
🕹 Technology Web Development Software Engineering Data Management User Experience Programming Languages
  1. UUIDs are not always the best choice for identifiers because they're long and hard to read. A new approach suggests using shorter, more human-friendly IDs that are easier to copy and work with.
  2. The modern ID format uses a prefix for the table and a suffix for uniqueness, allowing for better organization and user experience. This means URLs can be cleaner and easier to understand.
  3. Different tables can have different suffix lengths based on their volume and sensitivity, making it flexible. It also makes it easier to manage potential ID conflicts as your database grows.

LLM and GenAI future from a business perspective

Thoughts from the trenches in FAANG + Indie • 0 implied HN points • 17 Aug 24
💼 Business Tech Trends Data Management Productivity Tools Market Analysis Software Development
  1. LLM and GenAI are helpful tools that boost human productivity, even though they can't think creatively on their own.
  2. The cost of using these models is decreasing, making it easier for businesses to choose vendors based on price and convenience.
  3. To get the most value from LLM, companies must control and organize their data properly, which may create new job opportunities in data management and security.

The simple button that makes data easier to use

CommandBlogue • 0 implied HN points • 28 May 24
🕹 Technology Data Management User Experience Product Design Software Development
  1. Adding a reset button in dashboards helps users easily undo multiple customizations with one click. It saves time and makes exploring data more efficient.
  2. This feature allows users to quickly return to the default view, which is helpful when working with multiple users in an app.
  3. Just like pressing delete to start over, users prefer easy solutions that let them change their paths without wasting time.

GroupBy #9: FDAP stack, Iceberg and Hudi ACID Guarantees, Data Driven Management

VuTrinh. • 0 implied HN points • 14 Nov 23
🕹 Technology Data Engineering Data Analytics Machine Learning Software Development Data Management
  1. The FDAP stack is important in building reliable data systems. It helps to manage data more efficiently by using advanced technologies.
  2. Learning about data quality is crucial. It ensures that the information used for decision-making is accurate and trustworthy.
  3. Data-driven management is all about making decisions based on solid data insights. It helps businesses understand what works and what doesn't.

GroupBy #3

VuTrinh. • 0 implied HN points • 22 Sep 23
🕹 Technology Data Engineering Big Data Cloud Computing Software Development Data Management
  1. Docker commands can be simplified with a cheat sheet, making it easier for developers to use container technologies effectively.
  2. Apache Spark was created at UC Berkeley to improve cluster computing, focusing on faster interactive computations than previous systems like Hadoop.
  3. There are key differences between HDFS and S3, especially in how they handle data, and many people confuse them even though they serve different purposes.

Master Dynamic Queries in Spring JPA

Curious Devs Corner • 0 implied HN points • 13 Jul 24
🕹 Technology Software Development Programming Data Management Web Development Database Design
  1. You can create fully dynamic queries in Spring JPA based on user input. This allows users to choose which columns to select and how to group them.
  2. When using 'group by', all non-aggregated columns from the select statement must be included in the group clause. Otherwise, you'll get an error.
  3. Using the Java Persistence Criteria API can help effectively manage these dynamic queries and avoid common issues.

HN blogs -24/10/24

HackerNews blogs newsletter • 0 implied HN points • 24 Oct 24
🕹 Technology Software Development Web Development Data Management Programming Languages Tech Reviews
  1. Migrating from I3 to Sway on Wayland can improve your user experience. It's a process worth exploring for better desktop management.
  2. Using PostgreSQL recursive CTEs can help in effectively retrieving data from graph structures. This technique can be a game changer for handling complex data queries.
  3. Thinking carefully about framework choices in software development is important. Relying too much on convenient tools can stifle innovation and creativity.

HN blogs - 19/10/24

HackerNews blogs newsletter • 0 implied HN points • 20 Oct 24
🕹 Technology AI Software Development Digital Tools Data Management
  1. Using the terminal can be enjoyable and enhances productivity for tech tasks. It's about finding the right setup that works for you.
  2. Understanding how auctions work can be useful, whether you're buying or selling. They have their own set of rules and strategies to consider.
  3. Navigating workplace hierarchies is tricky, especially for junior developers. It's important to know when to follow the rules and when it's okay to break them for your career growth.

HN blogs - 6/10/24

HackerNews blogs newsletter • 0 implied HN points • 06 Oct 24
🕹 Technology Software Development Web Design Data Management Artificial Intelligence
  1. Learning about bypassing authentication can help understand security weaknesses in websites. It's important to know how these vulnerabilities can be exploited.
  2. SVG cursors can be a fun way to enhance user experience on websites. They allow for creative and customizable mouse pointers.
  3. Regularly interviewing, even when not looking for a job, helps keep your skills sharp and prepares you for future opportunities.

Mastering Data at Scale: A Young Professional's Guide to Partitioning and Replication

DataSketch’s Substack • 0 implied HN points • 29 Feb 24
🕹 Technology Data Management Database Systems Information Architecture Data Structures Performance optimization
  1. Partitioning is like organizing a library into sections, making it easier to find information. It helps speed up searches and makes handling large amounts of data simpler.
  2. Replication means making copies of important data, like having extra copies of popular books in a library. This ensures data is safe and can be accessed quickly.
  3. Using strategies like hashing and range-based partitioning allows for better performance and scalability of data systems. This means your data can grow without slowing things down.

Is dbt Labs cannibalizing the modern data stack with dbt Cloud?

clkao@substack • 0 implied HN points • 18 Oct 24
🕹 Technology Data Management Software Development Cloud Computing Data Analytics Machine Learning
  1. dbt Labs is expanding its features to create a more unified data platform. This means users won’t need multiple tools since dbt can handle many basic data needs.
  2. Applying software development practices to data workflows can be tricky. The way we test data is different, and adopting these practices hasn’t been easy for everyone.
  3. Recce is designed to improve the software development workflow for data. It helps users validate changes easily and ensures everyone understands what correctness means in the data context.

Three lines that define search

Talking to Computers: The Email • 0 implied HN points • 18 Mar 24
🕹 Technology Search User Experience Information Retrieval Data Management Machine Learning
  1. Users often want to find information with the least amount of actions. A well-designed interface can let them get what they need in just one action, like typing a query.
  2. The difference between finding and discovery is important. Finding is when users know what they want and search for it, while discovery is about stumbling upon things they didn't even know they wanted.
  3. Precision and recall are two key ideas in search results. Precision means showing only the most relevant results, while recall means showing all relevant results, even if some are less relevant.

Bug Story: Laravel, CSVs and UTF-8 Explosions

inelegant puzzles • 0 implied HN points • 30 Aug 24
🕹 Technology Software Web Development Coding Data Management Programming
  1. The app faced an issue with CSV imports that resulted in unexpected 500 errors. It turned out that the problem was linked to the handling of UTF-8 encoding in the JSON responses.
  2. Initially, the error seemed to come from how the request or CSV was processed, but a deeper look revealed that the data was not the issue; the request was actually successful.
  3. The solution involved adding a UTF-8 check to ensure all rows in the CSV were correctly formatted. This helps prevent similar issues in the future, but there’s some concern about its impact on performance.

How to load a Hugging Face dataset into Qdrant?

machinelearninglibrarian • 0 implied HN points • 08 Nov 23
🕹 Technology Machine Learning Data Management Software Development Artificial Intelligence Programming
  1. You can easily load a Hugging Face dataset into Qdrant using simple Python code. Just install the necessary libraries and use the load_dataset function.
  2. Once your dataset is loaded, you can create a Qdrant collection to store and manage your data. This lets you perform tasks like searching for similar articles based on their embeddings.
  3. There are ways to optimize the process of adding data and searching within Qdrant. For example, batching the data can make it faster and smoother.