Azure Data Engineering

MAY 28, 2022

ARM or Azure Resource Manager templates make it easy to manage deployments for Data Factory. When we connect Data Factory to a source control repository (e.g. GitHub or Azure DevOps Git), the data factory along with all its artefacts ( pipelines , datasets , linked services etc.) is saved in the repository in the form of ARM templates. We can then create DevOps pipelines to manage deployments by overriding the parameters to deploy to the production environments.

Datasets 130

Datasets Coding Data Management 130

KDnuggets

MAY 30, 2022

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

Data Science 160

Data Science Algorithm Machine Learning Python 160

Data Engineering Podcast

MAY 29, 2022

Summary The latest generation of data warehouse platforms have brought unprecedented operational simplicity and effectively infinite scale. Along with those benefits, they have also introduced a new consumption model that can lead to incredibly expensive bills at the end of the month. In order to ensure that you can explore and analyze your data without spending money on inefficient queries Mingsheng Hong and Zheng Shao created Bluesky Data.

Cloud 100

Cloud Data Warehouse Data Lake Data 100

Confluent

MAY 30, 2022

Kafka is horizontally scalable, but it's not enough. So we made Confluent Cloud 10x more elastic - 10x faster to scale up to GB/s or down to zero, easier to use, and cost-effective.

Kafka 113

Kafka Cloud IT 113

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

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Over the last few years, we have had a front-row seat in our customers’ hybrid cloud journey as they expand their data estate across the edge, on-premise, and multiple cloud providers.

Systems 99

Systems Data Lake Google Cloud Data Collection 99

KDnuggets

MAY 30, 2022

A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.

Machine Learning 160

Machine Learning Engineering Computer Science Designing 160

Confluent

MAY 30, 2022

What we’ve done to evolve from cloud Kafka to Confluent Cloud, a data streaming platform that’s 10X better than Kafka in elasticity, storage, resiliency, and more.

Kafka 95

Kafka Cloud Data 95

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Due to the lack of tooling specifically designed for data discovery, exploration, and preliminary analysis, this presents a significant challenge for these teams. .

Data Analysis 89

Data Analysis PostgreSQL Data Science SQL 89

KDnuggets

JUNE 1, 2022

This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

Data Science 160

Data Science Data IT 160

Rockset

JUNE 3, 2022

Zembula is a Portland, Oregon-based venture-backed startup that is breaking new ground in real-time customer personalization. Expanding Smart Banners to all kinds of promotional emails caused our traffic to explode 10x. We needed a lower-ops, cost-effective and scalable database to pave the way for our next 100x of growth. — Robert Haydock, CEO, Zembula We have developed technology enabling companies to deliver emails that are dynamic and hyper relevant to every recipient.

Hospitality 52

Hospitality Datasets Aggregated Data Retail 52

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

Monte Carlo

MAY 31, 2022

This article is sourced based on the interview between Lior Solomon, (now the former) VP of Engineering, Data, at Vimeo with the co-founders of Firebolt on their Data Engineering Show podcast which took place August 18, 2021. Watch the full episode. Vimeo is a leading video hosting, sharing, and services platform provider. The 1,000+ company helps small, medium and enterprise businesses scale with the impact of video.

BI 52

BI Data Warehouse Unstructured Data Data Schemas 52

Cloudera

JUNE 1, 2022

Imagine you’re the superintendent of a school district and you discover that your district has a problem with bullying. How do you go about enacting an informed policy that will help stem that problem? Where would you find the data to support your decision? Even if you could collect all the data around bullying incidents in the district over the past several years, do you have the time and knowledge to analyze that data?

Education 87

Education Government Data Accessible 87

KDnuggets

JUNE 1, 2022

Join the best data science professional groups on LinkedIn to share insights and experiences, ask for guidance, and build valuable connections.

Data Science 143

Data Science Data Building 143

know.bi

MAY 31, 2022

Workflow Log

Metadata 52

Metadata Data Engineering Data Engineer Engineering 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

AltexSoft

MAY 30, 2022

In the modern world, there’s hardly a business that doesn’t need a communication channel with its customers. Here’s the catch though. According to Meta (formerly Facebook), 64 percent of people would prefer to message rather than speak to a human call center agent on the phone. Besides that, customers want timely responses to whatever questions they have.

Banking 52

Banking Machine Learning Deep Learning Insurance 52

Data Engineering Podcast

MAY 29, 2022

Summary A large fraction of data engineering work involves moving data from one storage location to another in order to support different access and query patterns. Singlestore aims to cut down on the number of database engines that you need to run so that you can reduce the amount of copying that is required. By supporting fast, in-memory row-based queries and columnar on-disk representation, it lets your transactional and analytical workloads run in the same database.

Architecture 100

Architecture Database Data Architecture PostgreSQL 100

KDnuggets

JUNE 3, 2022

In this article, we will go beyond the theoretical realm of what a data science manager does and focus more on how to become an “effective” data science manager.

Data Science 130

Data Science Management Data 130

Monte Carlo

MAY 31, 2022

When a data pipeline breaks, data engineers need to immediately understand where the rupture occurred and what has been impacted. Data downtime is costly. Without data lineage –a map of how assets are connected and data moves across its lifecycle–data engineers might as well conduct their incident triage and root cause analysis blindfolded. Field-level data lineage (not necessarily Spark lineage) with hundreds of connections between objects in upstream and downstream tables.

Data Lake 52

Data Lake Building Scala Metadata 52

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Project

DataKitchen

JUNE 1, 2022

DataOps Mission Control. Data Teams can’t answer very basic questions about the many, many pipelines they have in production and in development. For example: Data. Is there a troublesome pipeline (lots of errors, intermittent errors)? Did my source files/data arrive on time? Is the data in the report I am looking at “fresh”? Is my output data the right quality?

Management 52

Management Data Data Analytics Data Architecture 52

KDnuggets

JUNE 1, 2022

Also: Python Libraries Data Scientists Should Know in 2022; The Complete Collection Of Data Repositories - Part 1; Top YouTube Channels for Learning Data Science; 7 Steps to Mastering SQL for Data Science; A Brief Introduction to Papers With Code.

Data Science 116

Data Science Python Coding SQL 116

KDnuggets

MAY 30, 2022

Get into the highly in-demand world of data engineering for free and earn 6 figures salary.

Data Engineering 160

Data Engineering Data Engineer Engineering Data 160

KDnuggets

MAY 30, 2022

Interested in a survey of important database concepts and terminology? This post concisely defines 16 essential database key terms.

Database 133

Database Data Science Data 133

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

KDnuggets

JUNE 3, 2022

Check out a this article for a better understanding of activation functions.

Deep Learning 158

Deep Learning Machine Learning 158

KDnuggets

MAY 31, 2022

This article will explore a few areas that we feel are essential when assessing data management solutions for computer vision.

Data Management 112

Data Management Management IT Data 112

KDnuggets

JUNE 2, 2022

This article presents the top industries and companies that are currently actively hiring data scientists.

Data 116

Data 116

KDnuggets

JUNE 3, 2022

Learn the basics of Q-learning in this article, a model-free reinforcement learning algorithm.

Algorithm 118

Algorithm Machine Learning 118

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Certification

KDnuggets

MAY 31, 2022

Add Layer to your existing ML code and quickly get a rich model and data registry with experiment tracking!

Metadata 108

Metadata Coding Data 108

KDnuggets

JUNE 1, 2022

The Complete Collection of Data Science Books - Part 2; Data Science Projects That Will Land You The Job in 2022; How to Become a Machine Learning Engineer; Dynamic Time Warping Algorithm in Time Series, Explained; Free Data Engineering Courses.

Data Science 83

Data Science Project Algorithm Machine Learning 83