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 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.

Database 100

Database Architecture Data Architecture PostgreSQL 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 115

Kafka Cloud IT 115

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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?

Business Intelligence

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 104

Systems Data Lake Google Cloud Cloud 104

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 159

Machine Learning Engineering Computer Science Designing 159

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 91

Data Analysis PostgreSQL Data Science Machine Learning 91

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

Teradata

JUNE 2, 2022

Learn how data and analytics can enable airlines to navigate towards more streamlined operations. Read more.

Data 98

Data 98

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.

Data

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 Aggregated Data Datasets Retail 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 91

Education Government Data Accessible 91

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 151

Data Science Data Building 151

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

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.

Manufacturing

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 Algorithm 52

Rock the JVM

JUNE 1, 2022

Scala Options are among the first concepts we encounter: Discover what they do, why they're useful, and their importance in programming

Scala 52

Scala Programming 52

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 140

Data Science Management Data 140

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 Machine Learning 52

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.

Systems

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 Analytics Data Data Architecture 52

know.bi

MAY 31, 2022

Workflow Log

Metadata 52

Metadata Data Engineering Data Engineer Engineering 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 123

Data Science Python Coding SQL 123

KDnuggets

MAY 30, 2022

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

Database 144

Database Data Science Data 144

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.

Project

KDnuggets

MAY 30, 2022

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

Data Engineer 160

Data Engineer Data Engineering Engineering Data 160

KDnuggets

JUNE 3, 2022

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

Deep Learning 159

Deep Learning Machine Learning 159

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 116

Data Management Management IT Data 116

KDnuggets

JUNE 2, 2022

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

Data 123

Data 123

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

Business Intelligence

KDnuggets

JUNE 3, 2022

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

Algorithm 126

Algorithm Machine Learning 126

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