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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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?
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 31, 2023
AutoML frameworks are powerful tool for data analysts and machine learning specialists that can automate data preprocessing, model selection, hyperparameter tuning, and even perform complex tasks like feature engineering.
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.
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.
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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.
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
Netflix Tech
MAY 19, 2023
Tycho Andersen The Compute team at Netflix is charged with managing all AWS and containerized workloads at Netflix, including autoscaling, deployment of containers, issue remediation, etc. As part of this team, I work on fixing strange things that users report. This particular issue involved a custom internal FUSE filesystem : ndrive. It had been festering for some time, but needed someone to sit down and look at it in anger.
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 16, 2023
There are a growing number of AI coding tools that are alternatives to Copilot. A list of other popular, promising options.
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.
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.
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 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.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
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 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.
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.
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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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).
Monte Carlo
MAY 26, 2023
What is data freshness and why is it important? Data freshness, sometimes referred to as data timeliness, is the frequency in which data is updated for consumption. It is an important dimension of data quality and a pillar of data observability because recently refreshed data is more accurate, and thus more valuable. Since it is impractical and expensive to have all data refreshed on a near real-time basis, data engineers ingest and process most analytical data in batches with pipelines designed
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.
Precisely
MAY 10, 2023
Technology is a vast industry that has something for everybody. Because of this, it attracts people from all backgrounds and areas of expertise. At Precisely, having diverse representation is the key to success, and as a result, it’s been highly important for the organization to support the unique perspective that employees bring to the table. The Precisely Women in Technology (PWIT) program was designed to connect women from across the organization to one another to offer support, an internal n
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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.
Confluent
MAY 10, 2023
Confluent manages 30,000+ Kafka clusters, produces over 3 trillion messages, and does durability checks on over 80 trillion Kafka messages per day while offering 99.99% uptime. Check out our cool stats!
Booking.com Engineering
MAY 1, 2023
At Booking.com we’re passionate about making the life of our users easier by providing the best property search capabilities. We want our users to have all the information to choose the best accommodation. It’s probably no secret that the location of the property is one of the most important criteria when choosing an accommodation, as it’s a major part of the trip experience.
The Modern Data Company
MAY 2, 2023
The Modern Data Company Brief The Modern Data Company is radically simplifying data architecture with its paradigm-shifting data operating system, DataOS. We’re replacing overwhelm with composability, reinventing governance, and connecting legacy systems to your newest tools. Find out how DataOS can put you on the fastest path from data to decisions.
databricks
MAY 16, 2023
The Databricks Lakehouse Platform provides a unified set of tools for building, deploying, sharing, and maintaining enterprise-grade data solutions at scale. Databricks integrates.
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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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