KDnuggets

AUGUST 4, 2022

Artificial Intelligence (AI) is the process of programming a computer that can reason and learn like a human being and make decisions for itself.

Programming 159

Programming Process 159

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Because of its centrality to your data systems it is valuable for debugging, governance, understanding context, and myriad other purposes. This means that it is important to have an accurate and complete lineage graph so that you don’t have to perform your own detective work when time is in s

IT 100

IT Metadata MongoDB MySQL 100

Teradata

AUGUST 3, 2022

Teradata’s approach to the Smart City is an analytics-centric, city-data-ecosystem approach designed to give access across all relevant data. Find out more.

Data 98

Data Designing Accessible Accessibility 98

Cloudera

AUGUST 3, 2022

Fine grained access control (FGAC) with Spark. Apache Spark with its rich data APIs has been the processing engine of choice in a wide range of applications from data engineering to machine learning, but its security integration has been a pain point.t Many enterprise customers needi finer granularity of control, in particular at the column and row level (commonly known as Fine Grained Access Control or FGAC).

Datasets 85

Datasets BI Machine Learning Accessible 85

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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.

Database

KDnuggets

AUGUST 4, 2022

Check out this guide to implementing different types of encoding for categorical data, including a cheat sheet on when to use what type.

Machine Learning 160

Machine Learning Data 160

Confluent

AUGUST 2, 2022

The reseller program allows consulting partners to receive wholesale Confluent Cloud pricing, own their customer relationships, and help them maximize the value of their data.

Programming 62

Programming Cloud Consulting Data 62

U-Next

AUGUST 4, 2022

As a career option, Data Science is India’s latest youth buzz. And the reasons for it are a dynamic work sector, great compensation, and a prestigious job rep. . After-placement payment Introduction to Data Science. Data are considered new age gold mines. Companies from all sectors recognise the value of utilising data to analyse performances and predict outcomes to facilitate judgement calls.

Data Science 52

Data Science Medical BI Healthcare 52

KDnuggets

AUGUST 3, 2022

Want to get started with SQL? Check out the latest cheatsheet from KDnuggets to get up to speed on the basics of one of the most popular, useful, and in-demand languages in the world of data science.

SQL 138

SQL Data Science Data 138

Confluent

AUGUST 4, 2022

Move to any cloud, modernize any database, and integrate data in real-time with Confluent, reducing the costs of syncing on-prem and cloud deployments.

Database 62

Database Cloud Data 62

dbt Developer Hub

AUGUST 2, 2022

At dbt Labs, we have best practices we like to follow for the development of dbt projects. One of them, for example, is that all models should have at least unique and not_null tests on their primary key. But how can we enforce rules like this? That question becomes difficult to answer in large dbt projects. Developers might not follow the same conventions.

Python 52

Python SQL Data Warehouse Project 52

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.

Certification

Yelp Engineering

AUGUST 2, 2022

At Yelp, we have a reasonably large Android community for a company of Yelp’s size. These talented and skilled Android engineers work on Yelp’s client and business applications. We would like to share some of the unique challenges that we’ve experienced along with our various efforts to overcome those challenges. Analytics Infra is a team at Yelp that works on experimentation and logging platforms and supports them across the entire Yelp ecosystem.

Engineering 52

Engineering 52

KDnuggets

AUGUST 3, 2022

A year ago, Objectiv started a community of 50 companies to develop a Hugging Face like open-source project for customer data modeling. They key objective: enable building data models on one team/company’s dataset, and then run them seamlessly on another.

Datasets 122

Datasets Data Project Building 122

Confluent

AUGUST 2, 2022

Learn how we built a practical data pipeline use case, powering real-time alerts for when to water houseplants using Apache Kafka and ksqlDB.

Kafka 62

Kafka Systems Data Pipeline Data 62

U-Next

AUGUST 3, 2022

It’s always a great idea to check salary beforehand when considering joining a new field. Here you can read everything about monthly Cyber Security Analyst salaries and the highest paying Cyber Security jobs. Introduction to Cyber Security Analyst Salary. The salary of a Cyber Security Analyst depends on lots of different factors. Salary varies as per experience, the number of jobs available in the market corresponding to the supply of professionals, and the level of qualification a person

Consulting 52

Consulting Certification Hospitality Government 52

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 Science

Eventbrite Engineering

AUGUST 2, 2022

Sapna Nair joins Eventbrite as our new Managing Director and Vice President of Engineering in India. Sapna is a dynamic leader who will lead Eventbrite’s expansion into India and add to our engineering expertise. Her experience building distributed teams will accelerate hiring of top-tier talent in India, helping to deliver on our ambitious technical vision … Continue reading "3 Questions With Sapna Nair — Eventbrite’s New VP of Engineering in India" The post 3 Questions With Sapna Nair —

Engineering 52

Engineering Building Management 52

KDnuggets

AUGUST 1, 2022

Interest in, and demand for, MLOps is growing exponentially. What, exactly, is it? Why is it important? Where should you turn next to learn more? Check out this crash course to find the answers to these questions and more.

IT 116

IT 116

Monte Carlo

AUGUST 2, 2022

Initial thoughts on our data team’s data mesh implementation plan and moving toward the four data mesh principles of domain data ownership, data as a product, self-service, and federated governance. The buzz around the data mesh is interesting in that many data professionals have opinions about it, some are even moving towards it, but very few are bold enough to claim they have done it.

Pipeline-centric 52

Pipeline-centric Government Finance Data 52

U-Next

AUGUST 2, 2022

The demand for cyber security experts and engineers is prevalent worldwide. You just need the right guidance to study and fetch a job as a cyber security professional. Read on to learn more about cyber security. Introduction . Every network and gadget has the potential to be dangerous. Cybersecurity hazards are one of these dangers. Explore how to be a cybersecurity expert and contribute to the safety of the digital world.

Recruitment 52

Recruitment Computer Science Certification Programming 52

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.

Building

Elder Research

AUGUST 3, 2022

The post The Modern-Day AI Executive: Most AI Investments Return Zero appeared first on Elder Research.

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52

KDnuggets

AUGUST 5, 2022

In Part Six, I’ll show how limitations in synapses are even more of a problem. Precise synapse weights and the ability to set them quickly to a specific value are crucial to ML and biological neurons offer neither.

Machine Learning 110

Machine Learning 110

Propel Data

AUGUST 3, 2022

Snowflake uses credits, which are analogous to CPU nodes, in order to pay for the virtual warehouses that power its analytical query engine.

Data Analytics 40

Data Analytics Engineering Data IT 40

U-Next

AUGUST 3, 2022

Ever wondered what cryptography is all about and its relationship with encryption? If yes, here’s a detailed way to understand cryptography in cyber security. Introduction to Cryptography . Cryptography and cybersecurity are ideal for locking and unlocking your digital worlds. Although they each developed and grew independently to claim their positions of honour, encryption and computer security are embedded to ensure that only those you approve have access.

Electronics 40

Electronics Transportation Algorithm Utilities 40

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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.

Project

Netflix Tech

AUGUST 1, 2022

Data Mesh?—?A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users. Our previous generation of streaming pipeline solution Keystone has a proven track record of serving multiple of our key business needs.

Process 108

Process Transportation Kafka Entertainment 108

KDnuggets

AUGUST 2, 2022

The interview process for the job can sometimes be a bit daunting. However, with the right knowledge and preparation, you can make sure you ace the interview and land your dream job. Read this summary of DataCamp’s full article on how to prepare for a data analyst interview, presenting some of the key points. .

Data 110

Data Process 110

Propel Data

AUGUST 1, 2022

Snowflake data platform is referred to as a data warehouse or data lake because it separates storage (data) from compute (processing power).

Data Warehouse 40

Data Warehouse Data Analytics Data Lake Data 40

U-Next

AUGUST 3, 2022

Hundreds and thousands of aspirants dream of landing a job in the cyber security field, but only those with the wisdom of the best cyber security books reach their goals. Here’s a compilation of books for you to study for cyber security exams. Introduction to Cyber Security Books. Before we dive directly into the topmost books of cybersecurity, let us first understand cybersecurity as a service.

Python 40

Python Food Banking Programming 40

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.

Engineering

Data Engineering Podcast

JULY 31, 2022

Summary Exploratory data analysis works best when the feedback loop is fast and iterative. This is easy to achieve when you are working on small datasets, but as they scale up beyond what can fit on a single machine those short iterations quickly become long and tedious. The Arkouda project is a Python interface built on top of the Chapel compiler to bring back those interactive speeds for exploratory analysis on horizontally scalable compute that parallelizes operations on large volumes of data

Data Analysis 100

Data Analysis MongoDB Scala Algorithm 100

KDnuggets

AUGUST 5, 2022

In this article, we will go over the top five ways to collect or receive data, whether to help optimize an AI-driven machine or simply forecast future consumer demand.

Data 108

Data Data Science 108

Cloudera

AUGUST 4, 2022

Z-order is an ordering for multi-dimensional data, e.g. rows in a database table. Once data is in Z-order it is possible to efficiently search against more columns. This article reveals how Z-ordering works and how one can use it with Apache Impala. In a previous blog post , we demonstrated the power of Parquet page indexes, which can greatly improve the performance of selective queries.

Telecommunication 103

Telecommunication Algorithm Raw Data Python 103

Monte Carlo

AUGUST 2, 2022

As companies increasingly leverage data-driven insights to innovate and maintain their competitive edge, it’s essential that this data is accurate and reliable. With Monte Carlo and Databricks’ partnership, teams can trust their data through end-to-end data observability across their lakehouse environments. Has your CTO ever told you that the numbers in a report you showed her looked way off?

Building 52

Building Data Lake Business Intelligence Data Pipeline 52

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

Building