KDnuggets
MARCH 4, 2022
While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.
Cloudera
MARCH 3, 2022
Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s Information Commissioner’s Office fined Marriott International over £99 million ($136 million) for violating the General Data Protection Regulation (GDPR), a European law govern
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Rockset
MARCH 3, 2022
Today Rockset is announcing an early access program for Oracle and Microsoft SQL Server integrations. Oracle and Microsoft SQL Server (MSSQL) are both incredibly popular database products for transactional workloads at large enterprises. The amount of data companies generate, transform, store and query is growing exponentially. This data has material financial value when it’s both fresh and easy to access, however, customers commonly face scalability challenges running both transactional and ana
Pipeline Data Engineering
MARCH 2, 2022
Data engineering salon. News and interesting reads about the world of data. The Unbundling of Airflow Gorkem Yurtseven, Co-Founder, Features and Labels A diverse set of tools is unbundling Airflow and this diversity is causing substantial fragmentation in modern data stack. Rebundling the Data Platform Nick Schrock, Founder, Elementl A fundamentally new approach to orchestration that orients around assets rather than tasks.
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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.
KDnuggets
MARCH 4, 2022
How do you keep up with all the news and trends, and navigate through the endless stream of AI information? Check out this author's list of favorite AI papers sources that help you float effortlessly in the info ocean.
Trio
MARCH 1, 2022
What Is a Tech Stack and How To Choose the Right One? In spite of its name, a tech stack has little to do with pancakes or money. Instead a tech stack, is a necessary part of every software development project.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Elder Research
MARCH 3, 2022
The post Defying Gravity appeared first on Elder Research.
KDnuggets
MARCH 2, 2022
Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.
Trio
MARCH 1, 2022
As business strategists and project managers scramble to create seamless user experiences (UX) and user interfaces (UI), front end web development teams have never been more crucial than before.
Cloudera
MARCH 2, 2022
Apache Impala is used today by over 1,000 customers to power their analytics in on premise as well as cloud-based deployments. Large user communities of analysts and developers benefit from Impala’s fast query execution, helping them get their work done more effectively. For these users performance and concurrency are always top of mind. . An important technique to ensure good performance and concurrency is through efficient usage of memory.
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.
dbt Developer Hub
MARCH 1, 2022
Executive Summary: If your company is struggling to leverage analytics, dealing with an overgrown ecosystem of dashboards/databases or simply want to avoid the mistakes of others, this story is for you. In this article, I will walk through forming the first analytics engineering team at Smartsheet including how momentum built around forming the team, the challenges we faced, and the solutions we developed within the first year.
KDnuggets
MARCH 3, 2022
In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a malfunction in the model. .
Trio
MARCH 1, 2022
Chatbots stimulate conversations between computers and humans. Artificial intelligence is the principal technology powering this faculty. Everyday examples of chatbots include Siri and Google Assistant. In the past, such a feat as sentient computers was feared. At least in science fiction movies, the idea of a machine with human capabilities could hardly be a favorable outcome.
Cloudera
MARCH 2, 2022
Risk management is a highly dynamic discipline these days. Stress testing is a particular area that has become even more important throughout the pandemic. Stress tests conducted by authorities such as the Federal Reserve Bank in the US are designed to keenly monitor the financial stability of the banking sector, especially during economic downturns such as those brought on by the pandemic.
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.
Data Engineering Podcast
FEBRUARY 27, 2022
Summary There are a wealth of options for managing structured and textual data, but unstructured binary data assets are not as well supported across the ecosystem. As organizations start to adopt cloud technologies they need a way to manage the distribution, discovery, and collaboration of data across their operating environments. To help solve this complicated challenge Krishna Subramanian and her co-founders at Komprise built a system that allows you to treat use and secure your data wherever
KDnuggets
MARCH 1, 2022
Also: Decision Tree Algorithm, Explained; The Complete Collection of Data Science Cheat Sheets – Part 1; Essential Machine Learning Algorithms: A Beginner’s Guide; An Easy Guide to Choose the Right Machine Learning Algorithm.
Trio
MARCH 1, 2022
There are many difficulties associated with software development. It may be that you have a good idea for a software application – that unlike the other dozen – could seriously gain some traction in the market. But you just don’t know how to make it happen.
Monte Carlo
MARCH 1, 2022
Our Python SDK gives data engineers programmatic access to Monte Carlo to augment our data observability platform’s lineage, cataloging, and monitoring functionalities. We are excited to announce the release of Monte Carlo’s Python SDK (Pycarlo), a new way for data engineers to create data applications directly on top of our data observability platform.
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.
Data Engineering Podcast
FEBRUARY 27, 2022
Summary Building a data platform is a complex journey that requires a significant amount of planning to do well. It requires knowledge of the available technologies, the requirements of the operating environment, and the expectations of the stakeholders. In this episode Tobias Macey, the host of the show, reflects on his plans for building a data platform and what he has learned from running the podcast that is influencing his choices.
KDnuggets
MARCH 1, 2022
Many companies have been capturing customer data in some form or another for decades. Petabytes of data are traversing networks worldwide every day, and all of that data means big money. Here's how companies can best utilize this data to influence positive outcomes.
Trio
MARCH 1, 2022
Agile frameworks are by no means neglected in the software development world. Agile methodologies are praised for their ability to reduce risks and keep consumers satisfied.
Rockset
MARCH 4, 2022
Amazon Kinesis is a platform to ingest real-time events from IoT devices, POS systems, and applications, producing many kinds of events that need real-time analysis. Due to Rockset 's ability to provide a highly scalable solution to perform real-time analytics of these events in sub-second latency without worrying about schema, many Rockset users choose Kinesis with Rockset.
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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
KDnuggets
MARCH 3, 2022
This article will solely focus on learning linear algebra, as it forms the backbone of machine learning model implementation.
KDnuggets
MARCH 4, 2022
CV has the potential to transform industries and how they operate. Here are some of the most notable applications worth exploring.
KDnuggets
MARCH 2, 2022
When it comes to Data Science, many people affiliate the career path as being ‘nerdy’. An industry for men, smart men; pushing women further and further away from the career. What can be done about this, and why is it important?
KDnuggets
MARCH 2, 2022
Telling a Great Data Story: A Visualization Decision Tree; What Is the Difference Between SQL and Object-Relational Mapping (ORM)?; Top 7 YouTube Courses on Data Analytics ; How Much Do Data Scientists Make in 2022?; Design Patterns in Machine Learning for MLOps.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
KDnuggets
FEBRUARY 28, 2022
The analytics team at Intelligence Node have been working on developing a Limited Memory model (which first started as a Reactive model) aka the 'The Probability of Future Success' model. This model explores a new market driven approach to identifying future trends and probability of success for specific product attributes based on a series of dynamic metrics and attributes.
KDnuggets
MARCH 1, 2022
Check out this curated collection for new and popular tools to add to your data stack this year.
KDnuggets
FEBRUARY 28, 2022
Unless you have a basic knowledge of calculus, you cannot understand how machine learning algorithms are developed. Calculus for Machine Learning is designed for developers to get you up to speed on the calculus that you need for applied machine learning. The book has more math than our other books and over 85 code examples to help you understand the concepts.
KDnuggets
FEBRUARY 28, 2022
If you’re looking to put your skills to the test, here are the top six startups you should consider working for in 2022.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
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