Data Engineering Podcast

NOVEMBER 6, 2022

He also describes the considerations involved in bringing behavioral data into your systems, and the ways that he and the rest of the Snowplow team are working to make that an easy addition to your platforms. Can you share your definition of "behavioral data" and how it is differentiated from other sources/types of data?

Building 130

Building IT Metadata MongoDB 130

Knowledge Hut

MARCH 7, 2024

Two, it creates a commonality of data definitions, concepts, metadata and the like. The traditional data management and data warehouses, and the sequence of data transformation, extraction and migration- all arise a situation in which there are risks for data to become unsynchronized.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Knowledge Hut

APRIL 23, 2024

Small Data is well-suited for focused decision-making, where specific insights drive actions. Big Data vs Small Data: Storage and Cost Big Data: Managing and storing Big Data requires specialized storage systems capable of handling large volumes of data.

Big Data 52

Big Data Datasets Data Analysis Media 52

Data Engineering Podcast

SEPTEMBER 18, 2022

He discusses the challenges of making data collection purposeful and efficient without distracting employees from their primary duties and how business owners can use the provided analytics to support their staff in their duties. Can you describe what OpsAnalitica is and the story behind it?

Hospitality 100

Hospitality Food MongoDB Scala 100

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge.

Manufacturing 105

Manufacturing Data Warehouse Kafka Retail 105

Knowledge Hut

JUNE 20, 2023

This research will yield innovative solutions for data management. Childhood Obesity: Data Management Childhood obesity is a growing public health concern, with rates of obesity among children and adolescents rising around the world. In this section, we will explore the topic of childhood obesity data management.

Database 52

Database Java Education Data Collection 52

The Modern Data Company

APRIL 15, 2024

Transforming Data Complexity into Strategic Insight At first glance, the process of transforming raw data into actionable insights can seem daunting. The journey from data collection to insight generation often feels like operating a complex machine shrouded in mystery and uncertainty.

Building 52

Building Raw Data Food Data 52

Monte Carlo

JANUARY 10, 2024

You might discover, for example, that a particular data source is consistently producing errors, indicating a need for better data collection methods. Or you might find that a certain type of data is particularly valuable for your analyses, suggesting a focus area for future data collection efforts.

Data Cleanse 52

Data Cleanse Data Engineering Data Engineer Engineering 52

Cloudera

FEBRUARY 23, 2023

Solving this crisis can and should be supported by insights gained from the vast amounts of data available to healthcare providers and government agencies. With CDP, KMC was able to develop the aptly named Controlled Substance Analytics platform to leverage data analytics in the fight against opioid abuse and misuse.

Data Analytics 75

Data Analytics Electronics Pharmaceutical Medical 75

Cloudera

FEBRUARY 8, 2021

Adding more wires and throwing more compute hardware to the problem is simply not viable considering the cost and complexities of today’s connected cars or the additional demands designed into electric cars (like battery management systems and eco-trip planning).

Manufacturing 106

Manufacturing Machine Learning Data Ingestion Electronics 106

Cloudera

SEPTEMBER 29, 2021

93% of enterprise leaders have taken advantage of their data, compared to 81% of leaders of smaller-size companies. . Before mid-size firms can start spending on data management platforms and analytics tools, they seek assurances of a pay-off. But once the company size is taken into account, the numbers change.

Data Collection 75

Data Collection Data Analytics Accessible Accessibility 75

Data Engineering Podcast

FEBRUARY 24, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

IT 100

IT Data Lake Data Pipeline Media 100

Cloudera

OCTOBER 11, 2022

The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. The challenge for AI is how to do data in all its complexity – volume, variety, velocity. And that data is likely in clouds, in data centers and at the edge.

Data Science 90

Data Science Aggregated Data Data Consulting 90

Data Engineering Podcast

JULY 20, 2020

This was a great conversation about using data to improve the way the world works. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering?

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Systems Machine Learning Manufacturing Algorithm 100

Data Engineering Podcast

JULY 1, 2018

Cheryl Martin, Chief Data Scientist for Alegion, discusses the importance of properly labeled information for machine learning and artificial intelligence projects, the systems that they have built to scale the process of incorporating human intelligence in the data preparation process, and the challenges inherent to such an endeavor.

Metadata 100

Metadata Machine Learning Data Preparation Data Collection 100

Data Engineering Podcast

SEPTEMBER 16, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. What is unique about customer event data from an ingestion and processing perspective?

Google Cloud 100

Google Cloud Hadoop Business Intelligence Consulting 100

Data Engineering Podcast

MAY 27, 2018

In this episode CTO and co-founder of Alooma, Yair Weinberger, explains how the platform addresses the common needs of data collection, manipulation, and storage while allowing for flexible processing. What is Alooma and what is the origin story? How is the Alooma platform architected? What are your plans for the future of Alooma?

Data Pipeline 100

Data Pipeline MongoDB Scala Google Cloud 100

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Data Engineering Podcast

JULY 8, 2018

They also explained how it fits in the broad landscape of data tools, the interesting and challenging aspects of the project, and how to build new extensions. How do you manage versioning and backup of data flows, as well as promoting them between environments? How is that data collected and managed?

Building 100

Building Transportation Kafka Java 100

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. The primary distinction lies in the sequence and location of the data transformation process. ELT: An In-Depth Comparison.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Cloudera

SEPTEMBER 23, 2021

Streaming data from edge devices enables real-time insight and autonomous decision-making, which can revolutionize industries. But driving data into the enterprise from the edge requires fast and effective data management. That’s where a real-time, scalable and reliable data management system comes into play.

Data 80

Data Cloud Data Collection Designing 80

Databand.ai

JUNE 8, 2023

By implementing an observability pipeline, which typically consists of multiple technologies and processes, organizations can gain insights into data pipeline performance, including metrics, errors, and resource usage. This ensures the reliability and accuracy of data-driven decision-making processes.

Data Pipeline 52

Data Pipeline Bytes Raw Data Data Collection 52

Snowflake

JULY 26, 2023

With a comprehensive range of data and the application of advanced analytics, organizations will be able to make better decisions about which interventions to invest in and implement. Predictive analytics can also continuously improve the accuracy of predictions based on additional data collected from ongoing experience.

Hospitality 75

Hospitality Healthcare Medical Insurance 75

Data Engineering Podcast

FEBRUARY 25, 2018

Your host is Tobias Macey and today I’m interviewing Sam Stokes about his work at Honeycomb, a modern platform for observability of software systems Interview Introduction How did you get involved in the area of data management? What is Honeycomb and how did you get started at the company?

Kafka 100

Kafka AWS Data Pipeline Data 100

Precisely

JULY 25, 2023

Organizations that run SAP can use Excel-to-SAP automation to do more with less, while also increasing agility and improving their SAP master data management process automation. Automate Evolve is designed to digitize a specific class of processes in which process and data are decidedly interdependent.

Data Process 52

Data Process Process Data Data Integration 52

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Cloudera

MARCH 29, 2022

How does hybrid cloud help turn data into a strategic asset? Like with the best-of-both-worlds approach to core infrastructure, a hybrid data cloud strategy combines the data management, analytics, transactional, and data science services of public and private clouds.

Government 93

Government Cloud Cloud Computing Data Science 93

Ascend.io

JANUARY 10, 2024

Visual representation of Conway’s Law ( source ) Read More: The Chief AI Officer: Avoid The Trap of Conway’s Law Process: Ensuring Data Readiness The backbone of successful AI implementation is robust data management processes. AI models are only as good as the data they consume, making continuous data readiness crucial.

Data Pipeline 52

Data Pipeline Government Data Governance Raw Data 52

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JULY 26, 2023

These datasets typically involve high volume, velocity, variety, and veracity, which are often referred to as the 4 v's of Big Data: Volume: Volume refers to the vast amount of data generated and collected from various sources. Managing and analyzing such large volumes of data requires specialized tools and technologies.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

JUNE 15, 2023

That is why every organization works towards designing and building structures for proper data storage and analysis. This process of data management is called data engineering. Companies hire experts who are well-versed in data engineering best practices and keep their data management sorted with their help.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Data Engineering Weekly

OCTOBER 30, 2022

There is no mention of data management in general, but mainly of usage and operational factors. Nothing groundbreaking will happen on data management in 2023, but I expect a little momentum behind data management towards the end.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Cloudera

APRIL 22, 2022

CSPs could become involved in the “networked cloud” and data-management across these areas — but they need to look beyond narrow views of edge-compute. . Location-specific data. As a result, the next couple of years may see something of a shift in telecoms’ discussions and ambitions around enterprise data.

Data Solutions 133

Data Solutions Amazon Web Services Data Storage Google Cloud 133

Knowledge Hut

MAY 9, 2024

Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Data Science Blog: Data Engineering

SEPTEMBER 18, 2020

Unless there are systematic procedures in place to guide data management and data analysis in the development lifecycle, many promising digital products will not meet expectations. These methodologies aim at introducing principles for systematic data management and data analysis.

Data Science 52

Data Science Consulting Software Engineer Software Engineering 52

Knowledge Hut

JANUARY 24, 2024

They excel in handling unstructured data, a crucial asset for businesses in today's data-driven landscape. The skill set of a data scientist encompasses proficiency in statistics, data science, Big Data management , and expertise in programming languages such as R, Python, and SAS.

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Database-centric Data Science Machine Learning Datasets 52