Knowledge Hut
MAY 3, 2023
Did you know that data is now an essential component of modern business operations? With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data. The roles of data analyst and data engineer have emerged as two of the most in-demand professions in today's job market.
KDnuggets
MAY 24, 2023
When it's all said and done, and AI has been universally recognized as our rightful overlords, the idea of data science as a standalone field will have been but a blip on our collective radar.
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The Pragmatic Engineer
MAY 11, 2023
The internet has been speculating the past few days on which crypto company spent $65M on Datadog in 2022. I confirmed it was Coinbase, and here are the details of what happened. Originally published on 11 May 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.
Seattle Data Guy
MAY 8, 2023
If you’re relying on your OLTP system to provide analytics, you might be in for a surprise. While it can work initially, these systems aren’t designed to handle complex queries. Adding databases like MongoDB and CassandraDB only makes matters worse, since they’re not SQL-friendly – the language most analysts and data practitioners are used to.… Read more The post OLTP Vs OLAP – What Is The Difference appeared first on Seattle Data Guy.
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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?
Confessions of a Data Guy
MAY 7, 2023
Polars is one of those tools that you just want … no … NEED a reason to use it. It’s gotten so bad, I’ve started to use it in my Rust code on the side, Polars that is. I mean you have a problem if you could use Polars Python, and you find yourself using […] The post Polars – Laziness and SQL Context. appeared first on Confessions of a Data Guy.
Analytics Vidhya
MAY 24, 2023
As modern companies rely on data, establishing dependable, effective solutions for maintaining that data is a top task for each organization. The complexity of information storage technologies increases exponentially with the growth of data. From physical hard drives to cloud computing, unravel the captivating world of data storage and recognize its ever-evolving role in our […] The post What is Data Storage and How is it Used?
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
KDnuggets
MAY 1, 2023
Get ready to discover the next big thing in AI with HuggingGPT. Read this article to develop an understanding of how it works and how it handles complex AI tasks.
The Pragmatic Engineer
MAY 25, 2023
👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and high-growth startups through the lens of engineering managers and senior engineers. In this issue, we cover one out of six topics from today’s subscriber-only The Scoop issue. To get full articles twice a week, subscribe here.
Netflix Tech
MAY 4, 2023
Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience.
Tweag
MAY 16, 2023
Today, I am very excited to announce the 1.0 release of Nickel. A bit more than one year ago, we released the very first public version Nickel (0.1). Throughout various write-ups and public talks ( 1 , 2 , 3 ), we’ve been telling the story of our dissatisfaction with the state of configuration management. The need for a New Deal Configuration is everywhere.
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.
Analytics Vidhya
MAY 17, 2023
How can we sift through many variables to identify the most influential factors for accurate predictions in machine learning? Recursive Feature Elimination offers a compelling solution, and RFE iteratively removes less important features, creating a subset that maximizes predictive accuracy. By leveraging a machine learning algorithm and an importance-ranking metric, RFE evaluates each feature’s impact […] The post Recursive Feature Elimination: Working, Advantages & Examples ap
Data Engineering Podcast
MAY 21, 2023
Summary Batch vs. streaming is a long running debate in the world of data integration and transformation. Proponents of the streaming paradigm argue that stream processing engines can easily handle batched workloads, but the reverse isn't true. The batch world has been the default for years because of the complexities of running a reliable streaming system at scale.
KDnuggets
MAY 29, 2023
Check out our latest cheat sheet to get you up to speed and provide a handy reference for using Google's LLM chat tool Bard for data science.
The Pragmatic Engineer
MAY 9, 2023
Insights from 50 publicly traded tech companies, and a list of those paying the most and the least in median total compensation. 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover two out of seven topics from today’s subscriber-only deep-dive on Compensation at publicly traded tech companies.
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.
LinkedIn Engineering
MAY 9, 2023
Co-Authors: Estella Pham and Guanlin Lu At peak, LinkedIn serves over 1.4 million member profiles per second. The number of requests to our storage infrastructure doubles every year. In the past, we addressed latency, throughput and cost issues by migrating off Oracle onto Espresso , an open-source document platform, and adding more nodes. We are now at the point where some of the core components are straining under the increasing load, and we can no longer address scaling concerns with the node
Confluent
MAY 11, 2023
Running Kafka is costly, but Confluent has created a far more efficient product to lower your costs. Join the Cost Savings challenge to see for yourself.
databricks
MAY 30, 2023
We are excited to announce that bit.io is joining Databricks. At Databricks, we’ve always been focused on empowering organizations to solve their toughest p.
Tweag
MAY 31, 2023
In November 2022, Tweag engineers merged a WebAssembly back end into the Glasgow Haskell Compiler (GHC). The back end includes a new translation for control flow , which enables GHC to avoid depending on external tools like Binaryen. Because the translation is new, we wanted to test it before submitting a merge request. And classic unit testing was not a good fit—we would have needed to know what the WebAssembly code was expected to be generated from any given fragment of Haskell, and that’s a j
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.
KDnuggets
MAY 1, 2023
Have you thought of using ChatGPT to help augment your machine learning tasks? Check out our latest cheat sheet to find out how.
The Pragmatic Engineer
MAY 16, 2023
There are a growing number of AI coding tools that are alternatives to Copilot. A list of other popular, promising options.
Snowflake
MAY 8, 2023
As of December, customers got a whole new level of insight into Snowflake query performance and query execution statistics when Snowflake announced the public preview of the new get_query_operator_stats function, opening up programmatic access to Snowflake query profiles and providing customers a whole new level of insight into Snowflake query performance and query execution statistics.
Confluent
MAY 15, 2023
Take a tour of the internals of Confluent’s Apache Kafka® service, powered by Kora: the next-generation, cloud-native streaming engine.Kora.
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.
databricks
MAY 12, 2023
Download the Databricks Insurance NLP Solution Accelerator Introduction The current economic and social climate has redefined customer expectations and preferences. Society has been.
Tweag
MAY 24, 2023
Tweagers have an engineering mantra — Functional. Typed. Immutable. — that begets composable software which can be reasoned about and avails itself to static analysis. These are all “good things” for building robust software, which inevitably lead us to using languages such as Haskell, OCaml and Rust. However, it would be remiss of us to snub languages that don’t enforce the same disciplines, but are nonetheless popular choices in industry.
KDnuggets
MAY 1, 2023
Has there always been a rise in ChatOps and LMOps, or will it happen after the release of ChatGPT and Google Bard?
The Pragmatic Engineer
MAY 12, 2023
This is a response to a tweet asking: "Why is there no competition to PagerDuty/Opsgenie? People in my team say it’s “just connecting to the Twilio API” but if it were that easy, there’d probably be a ton of competition." PagerDuty is the market-leading incident alerting tool. OpsGenie is Atlassian's incident management tool, which is widespread thanks to distribution.
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.
Engineering at Meta
MAY 3, 2023
We’re sharing our latest threat research and technical analysis into persistent malware campaigns targeting businesses across the internet, including threat indicators to help raise our industry’s collective defenses across the internet. These malware families – including Ducktail, NodeStealer and newer malware posing as ChatGPT and other similar tools – targeted people through malicious browser extensions, ads, and various social media platforms with an aim to run unauthorized ads from compromi
Data Engineering Weekly
MAY 16, 2023
In the first part of this series, we talked about design patterns for data creation and the pros & cons of each system from the data contract perspective. In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective. Why is Data Quality Expensive? I posted this LinkedIn post that sparked some exciting conversation.
databricks
MAY 18, 2023
Today, we are thrilled to announce that serverless compute for Databricks SQL is Generally Available on AWS and Azure! Databricks SQL (DB SQL).
Confluent
MAY 9, 2023
Low utilization and operational complexity dramatically increases Kafka costs, so we reinvented Kafka as a cloud-native and complete service to reduce costs for thousands of businesses at any scale.
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Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.
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