Simon Späti

JUNE 20, 2022

Data consumers, such as data analysts, and business users, care mostly about the production of data assets. On the other hand, data engineers have historically focused on modeling the dependencies between tasks (instead of data assets) with an orchestrator tool. How can we reconcile both worlds? This article reviews open-source data orchestration tools (Airflow, Prefect, Dagster) and discusses how data orchestration tools introduce data assets as first-class objects.

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Start Data Engineering

JUNE 24, 2022

1. Introduction 2. Steps 2.1. Choosing companies to work for 2.2. Optimizing your Linkedin & resume 2.3. Landing interviews 2.4. Preparing for interviews 2.5. Offers & Negotiation 3. Conclusion 4. Further reading 5. Reference 1. Introduction The data industry is booming! & data engineering salaries are skyrocketing. But landing a new job is not an easy task.

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Data Engineering Data Engineer Engineering Data 130

Azure Data Engineering

JUNE 19, 2022

While we have discussed various ways for running custom SQL code in Azure Data Factory in a previous post , recently, a new activity has been added to Azure Data Factory called Script Activity , which provides a more flexible way of running custom SQL scripts. Azure Data Factory: Script Activity As shown in the screenshot above, this activity supports execution of custom Data Query Language (DQL) as well as Data Definition Language (DDL) and Data Manipulation Language (DML).

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Marc Lamberti

JUNE 19, 2022

Dynamic Task Mapping is a new feature of Apache Airflow 2.3 that puts your DAGs to a new level. Now, you can create tasks dynamically without knowing in advance how many tasks you need. This feature is for you if you want to process various files, evaluate multiple machine learning models, or process a varied number of data based on a SQL request. Excited?

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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

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. A variety of platforms have been developed to capture and analyze that information to great effect, but they are inherently limited in their utility due to their nature as storage systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data g

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KDnuggets

JUNE 21, 2022

Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.

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Datasets Data 160

Confluent

JUNE 23, 2022

Set up a hybrid cloud environment with Confluent for Kubernetes to enable seamless cloud and on-preem integrations, a cloud-native, declarative API, and cluster linking.

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Cloud Management Data 59

Data Engineering Podcast

JUNE 19, 2022

Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data systems. In order to lower the barrier to entry Ryan Buick created the Canvas application with a spreadsheet oriented workflow that is understandable to a wide audience. In this episode Ryan explains how he and his team have designed their platform to bring everyone onto a level playing field and the benefits that it provides to the organization.

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Metadata Unstructured Data MongoDB MySQL 130

KDnuggets

JUNE 23, 2022

Essential Linux commands to improve the data science workflow. It will give you the power to automate tasks, build pipelines, access file systems, and enhance development operations.

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Cloudera

JUNE 22, 2022

Across the globe, cloud concentration risk is coming under greater scrutiny. The UK HM Treasury department recently issued a policy paper “ Critical Third Parties to the Finance Sector.” The paper is a proposal to enable oversight of third parties providing critical services to the UK financial system. The proposal would grant authority to classify a third party as “critical” to the financial stability and welfare of the UK financial system, and then provide governance in order to minimize the p

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Cloud Insurance Banking Government 83

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

know.bi

JUNE 22, 2022

This guide will teach you the process of exporting data from a relational database (MySQL) and importing it into a graph database (Neo4j). You will learn how to take data from the relational system and to the graph by translating the schema and using Apache Hop as import tools. This Tutorial uses a specific data set, but the principles in this tutorial can be applied and reused with any data domain.

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Pipeline Data Engineering

JUNE 22, 2022

It’s time to share some important news with you: we’re taking time off to focus on our health and families, the launch of new data engineering cohorts is on hold until further notice. Health and family Running a bootstrapped company in times of repeated economic crises and data industry vibe shifts is a gift and a curse at the same time. No surprises here: it can be highly rewarding and joyful, but it can be exhausting and stressful as well.

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Data Architect Education Data Architecture Data Engineering 52

KDnuggets

JUNE 20, 2022

Check out Super Study Guide: Algorithms and Data Structures, a free ebook covering foundations, data structures, graphs, and trees, sorting and searching.

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Algorithm Data Data Science 146

Cloudera

JUNE 24, 2022

Much of the hype around big data and analytics focuses on business value and bottom-line impacts. Those are enormously important in the private and public sectors alike. But for government agencies, there is a greater mission: improving people’s lives. Data makes the most ambitious and even idealistic goals —like making the world a better place — possible.

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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

Zalando Engineering

JUNE 22, 2022

What were the biggest learnings in your career so far? And what advice would you give your younger self today? How do you get ahead in your career? We’re celebrating International Women in Engineering Day by talking to three senior Zalando Women in Tech: Mahak Swami , Engineering Manager; Floriane Gramlich , Director of Product Payments; and Ana Peleteiro Ramallo , Head of Applied Science.

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Yelp Engineering

JUNE 21, 2022

Our community of users will always come first, which is why Yelp takes significant measures to protect sensitive user information. In this spirit, the Database Reliability Engineering team implemented a data sanitization process long ago to prevent any sensitive information from leaving the production environment. The data sanitization process still enables developers to test new features and asynchronous jobs against a complete, real time dataset without complicated data imports.

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MySQL Datasets Data Database 52

KDnuggets

JUNE 20, 2022

Tech visionaries to address accelerating machine learning, unifying AI platforms and taking intelligence to the edge, at the fifth annual AI Hardware Summit & Edge AI Summit, Santa Clara.

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Machine Learning 136

U-Next

JUNE 22, 2022

Scrum is a framework for developing complicated products under the Agile product development umbrella. The term scrum is also used during a sprint to describe the daily standup sessions. A sprint is one iteration of a continuous development cycle that is timed. During a Sprint, the team must complete a set amount of work and prepare it for review. Sprints are the smallest and most reliable time intervals used by scrum teams.

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Process IT Management 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

Rockset

JUNE 21, 2022

We’re excited to announce that Rockset’s new connector with Snowflake is now available and can increase cost efficiencies for customers building real-time analytics applications. The two systems complement each other well, with Snowflake designed to process large volumes of historical data and Rockset built to provide millisecond-latency queries , even when tens of thousands of users are querying the data concurrently.

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Kafka Data Warehouse BI Analytics Application 52

Emeritus

JUNE 20, 2022

Data is the new oil. In a crude, unrefined form, it is of no real use. But once it is cleaned and processed, its value shoots up. From understanding customer behavior to sales performance, everything makes more sense when data is analyzed the right way. The ability to take existing data, and process it with… The post 10 Best Online Data Science Courses Hand-Picked for You appeared first on Emeritus Online Courses.

Data Science 52

Data Science Data Process IT 52

KDnuggets

JUNE 24, 2022

In this article we introduce a few tools and techniques for studying relationships between the stock market and the news. We explore time series processing, anomaly detection, and an event-based view of the news. We also generate intuitive charts to demonstrate some of these concepts, and share the code behind all of this in a notebook.

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Coding Process Data 129

U-Next

JUNE 21, 2022

The distinction between hashing and encryption is that hashing refers to converting permanent data into message digests, but encryption operates in two ways: decoding and encoding the data. Hashing serves to maintain the information’s integrity, while md5 encryption and decryption are used to keep data out of the hands of third parties. Encryption and Hashing difference appears to be indistinguishable, yet they are not.

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Algorithm Banking Utilities Data Security 52

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

Teradata

JUNE 21, 2022

Companies have started to explore deployment of 5G networks across their value chains. This post will look at the impact of 5G on manufacturing value chain activities.

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Manufacturing 52

Confluent

JUNE 22, 2022

How to use data pipelines, unlock the benefits of real-time data flow, and achieve seamless data streaming and analytics at scale with Confluent.

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Data Pipeline Kafka Data 52

KDnuggets

JUNE 20, 2022

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Primary Supervised Learning Algorithms Used in Machine Learning.

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Algorithm Machine Learning Data Science Python 129

U-Next

JUNE 21, 2022

Introduction. People naturally spend a substantial portion of their day online now that digital media has become an essential part of their lives. As a result, digital platforms have become a very familiar location for individuals worldwide, and people have begun to trust the information provided on digital platforms. The term refers to any electronic information on our computers or cell phones.

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Digital Media Insurance Electronics Media 52

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

Rock the JVM

JUNE 20, 2022

Discover Slick: The popular Scala library for seamless database interactions

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Scala Database 52

Monte Carlo

JUNE 23, 2022

When it comes to big data quality, bigger data isn’t always better data. But at times we are guilty of forgetting this. At some point in the last two decades, the size of our data became inextricably linked to our ego. The bigger the better. We watched enviously as FAANG companies talked about optimizing hundreds of petabyes in their data lakes or data warehouses.

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Big Data Management Machine Learning Data Warehouse 40

KDnuggets

JUNE 22, 2022

Let’s get into some of the expectations of data scientists – and the reality they face.

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Data Science Data 158

U-Next

JUNE 21, 2022

Principal component analysis in machine learning. Principal component analysis in machine learning is a statistical procedure that employs an immaterial transformation to convert a set of correlated variables into uncorrelated variables. PCA in machine learning is the most widely used tool in exploratory data analysis and predictive modeling in machine learning.

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Machine Learning Datasets Data Science Data Analysis 52

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

Government