Data Engineering Podcast

JULY 17, 2022

Summary There are extensive and valuable data sets that are available outside the bounds of your organization. Whether that data is public, paid, or scraped it requires investment and upkeep to acquire and integrate it with your systems. Crux was built to reduce the total cost of acquisition and ownership for integrating external data, offering a fully managed service for delivering those data assets in the manner that best suits your infrastructure.

Data Management 130

Data Management Management Metadata MongoDB 130

Azure Data Engineering

JULY 16, 2022

Web Activity is the easiest way to call any REST API endpoints within a Data Factory Pipeline. In today’s post, we will discuss the basic settings of Web activity. To create a new web activity , search for ‘web’ in the activities pane. Alternatively, it can be located under the General group in the activities pane. As seen in the screenshot below, the main settings for the web activity are as follows: Azure Data Factory: Web Activity URL: This is the REST API endpoint address that we would like

Datasets 130

Datasets Certification Data Coding 130

Jesse Anderson

JULY 12, 2022

My guest this week is Drew Smith , Vice President of Global Data and Analytics at Little Caesars Enterprises and Ilitch Companies. Little Caesars is a pizza franchise that is mainly in the United States. Illitch Companies owns the Detroit Tigers (baseball), Detroit Red Wings (hockey), and several stadiums. Before that, Drew worked at International Institute for Analytics (IIA), an analytics consulting company, and IKEA, the furniture retailer and manufacturer.

Recruitment 130

Recruitment Manufacturing Retail Consulting 130

KDnuggets

JULY 22, 2022

The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.

IT 160

IT 160

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Confluent

JULY 26, 2022

Explore GitHub Actions for your Kafka CI/CD pipeline, automate Schema Registry, and transform the development and testing of Kafka client applications.

Kafka 141

Kafka 141

Cloudera

JULY 20, 2022

This month, Cloudera Cares is excited to spotlight Burt Wagner, senior solutions engineer from Alexandria, Virginia. Burt — who joined Cloudera earlier this year — volunteers regularly with the Boy Scouts of America. He started Scouting as an eight year old; it has always been an integral part of his life and something he now enjoys sharing with his son.

Engineering 115

Engineering Programming Utilities IT 115

U-Next

JULY 13, 2022

In a world that creates 1.145 trillion MB of data per day , change is the only constant. With brand new information being seeded every other second, businesses are evolving at the speed of light. Where there’s data, there’s analytics, and thus, the demand for skilled Business Analysts. Data enthusiasts have stumbled across enough facts and figures to know what’s trending and what’s needed to master these trends, which is why over 1,000 learners hit the road to becoming highly sought-after Busine

Business Analyst 97

Business Analyst Programming Python SQL 97

Teradata

JULY 5, 2022

In the current age of AI, all digital transformations must be analytics-led. Learn the 7 steps needed to realize the promise of an analytics-led digital transformation.

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98

KDnuggets

JULY 15, 2022

Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.

SQL 159

SQL Big Data Machine Learning Data Analytics 159

Netflix Tech

JULY 21, 2022

by Aryan Mehra with Farnaz Karimdady Sharifabad , Prasanna Vijayanathan , Chaïna Wade , Vishal Sharma and Mike Schassberger Aim and Purpose?—?Problem Statement The purpose of this article is to give insights into analyzing and predicting “out of memory” or OOM kills on the Netflix App. Unlike strong compute devices, TVs and set top boxes usually have stronger memory constraints.

Machine Learning 73

Machine Learning Datasets Big Data Data Pipeline 73

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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

JULY 11, 2022

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. It is changing in makeup and appearing in ever more places. Driving insight and value from it all is as much of an opportunity as it is a challenge. As a result, it’s getting ??progressively more complex for businesses to access, use, and create value from it.

Data Architecture 105

Data Architecture Architecture Data Government 105

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 Algorithm Scala 100

U-Next

JULY 20, 2022

Every layer of business operations today uses the power of metrics and analytics to enhance their market growth and business success. With the fourth industrial revolution increasing the dependency on emerging technologies like Data Science, Cloud Computing, IoT, Business Analytics, etc., the need to master the nuances of the same is relatively high.

Programming 75

Programming Business Analyst Education Data Science 75

Teradata

JULY 25, 2022

For many, banking is now a digital activity. But the financial services industry still trails many others in leveraging cloud technologies to build deeper, emotional attachments to their customers.

Banking 94

Banking Cloud Technology Building 94

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

KDnuggets

JULY 14, 2022

Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.

Deep Learning 160

Deep Learning 160

Confluent

JULY 18, 2022

Newest features in Confluent’s fully managed, cloud-native data streaming platform: Confluent Terraform provider, Independent Network Lifecycle Management, and more.

Management 64

Management Cloud Data 64

Cloudera

JULY 13, 2022

In this article we discuss the various methods to replicate HBase data and explore why Replication Manager is the best choice for the job with the help of a use case. Cloudera Replication Manager is a key Cloudera Data Platform (CDP) service, designed to copy and migrate data between environments and infrastructures across hybrid clouds. The service provides simple, easy-to-use, and feature-rich data movement capability to deliver data and metadata where it is needed, and has secure data backup

Management 89

Management AWS Database Cloud 89

Data Engineering Podcast

JULY 24, 2022

Summary The current stage of evolution in the data management ecosystem has resulted in domain and use case specific orchestration capabilities being incorporated into various tools. This complicates the work involved in making end-to-end workflows visible and integrated. Dagster has invested in bringing insights about external tools’ dependency graphs into one place through its "software defined assets" functionality.

MongoDB 100

MongoDB Scala MySQL Data Lake 100

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

JULY 29, 2022

What does it take to store all New York Times articles published between 1855 and 1922? Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The biggest star of the Big Data world, Hadoop was named after a yellow stuffed elephant that belonged to the 2-year son of computer scientist Doug Cutting.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Teradata

JULY 14, 2022

Teradata provides the lowest cost per query for enterprise-scale analytics. Have your doubts? Then please read on.

105

105

KDnuggets

JULY 8, 2022

The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.

Machine Learning 155

Machine Learning Algorithm 155

Confluent

JULY 28, 2022

Complete guide to data pipelines, data integration, and modern data flow, the key to next generation, data-driven applications, systems, and organizations.

Data Pipeline 64

Data Pipeline Building Data Data Integration 64

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

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. In this blog we will conclude the implementation of our fraud detection use case and understand how Cloudera Stream Processing makes it simple to create real-time stream processing pipelines that

Process 89

Process Kafka Scala SQL 89

Data Engineering Podcast

JULY 24, 2022

Summary Data engineering is a difficult job, requiring a large number of skills that often don’t overlap. Any effort to understand how to start a career in the role has required stitching together information from a multitude of resources that might not all agree with each other. In order to provide a single reference for anyone tasked with data engineering responsibilities Joe Reis and Matt Housley took it upon themselves to write the book "Fundamentals of Data Engineering" In thi

Data Engineer 100

Data Engineer Data Engineering Lambda Architecture Engineering 100

dbt Developer Hub

JULY 13, 2022

There are many reasons you, as an analytics engineer, may want to capture the complete version history of data: You’re in an industry with a very high standard for data governance You need to track big OKRs over time to report back to your stakeholders You want to build a window to view history with both forward and backward compatibility These are often high-stakes situations!

Electronics 59

Electronics BI Raw Data Manufacturing 59

Rockset

JULY 29, 2022

Enterprise data warehouses (EDWs) became necessary in the 1980s when organizations shifted from using data for operational decisions to using data to fuel critical business decisions. Data warehouses differ from operational databases in that while operational transactional databases collate data for multiple transactional purposes, data warehouses aggregate this transactional data for analytics.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 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

KDnuggets

JULY 20, 2022

14 Essential Git Commands for Data Scientists • Statistics and Probability for Data Science • 20 Basic Linux Commands for Data Science Beginners • 3 Ways Understanding Bayes Theorem Will Improve Your Data Science • Learn MLOps with This Free Course • Primary Supervised Learning Algorithms Used in Machine Learning • Data Preparation with SQL Cheatsheet.

Data Science 154

Data Science Data Preparation Algorithm Machine Learning 154

Confluent

JULY 12, 2022

How Confluent built Intelligent Storage, for 10x more scalable and elastic Kafka storage with infinite retention, max cluster uptime, and zero operational burdens.

Kafka 59

Kafka Building Cloud 59

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). Many organizations are hoping to leverage these massive amounts of data by investing heavily in big data solutions – solutions that they hope can meet business goals such as increasing customer satisfaction, uncovering alternative revenue streams, or improving operational efficiency.

Data Architecture 87

Data Architecture Architecture Unstructured Data Government 87

Data Engineering Podcast

JULY 17, 2022

Summary Data engineering is a large and growing subject, with new technologies, specializations, and "best practices" emerging at an accelerating pace. This podcast does its best to explore this fractal ecosystem, and has been at it for the past 5+ years. In this episode Joe Reis, founder of Ternary Data and co-author of "Fundamentals of Data Engineering", turns the tables and interviews the host, Tobias Macey, about his journey into podcasting, how he runs the show behind the sc

Data Engineer 100

Data Engineer Data Engineering Engineering MongoDB 100

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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