Data Engineering Podcast

SEPTEMBER 14, 2020

In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems. If you hand a book to a new data engineer, what wisdom would you add to it? What are the benefits and tradeoffs of in-memory computation for data-intensive workloads?

Process 100

Process Unstructured Data Metadata Data Engineering 100

Data Engineering Podcast

OCTOBER 12, 2020

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? If you hand a book to a new data engineer, what wisdom would you add to it?

Business Intelligence 100

Business Intelligence BI Consulting Data Ingestion 100

AltexSoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Towards Data Science

OCTOBER 25, 2023

Not too long ago, almost all data architectures and data team structures followed a centralized approach. To meet these needs, the latest version of your company data strategy may have moved towards decentralization. Notice also how we have tagged the tests as “contract-test-source”.

Data Pipeline 82

Data Pipeline SQL Data Architecture Data 82

Data Engineering Podcast

JUNE 29, 2020

This was a great conversation about the complexities of working in a niche domain of data analysis and how to build a pipeline of high quality data from collection to analysis. If you hand a book to a new data engineer, what wisdom would you add to it? Can you describe how your overall data management system is architected?

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Snowflake

JUNE 14, 2023

Automation and management of the applications resources By building a centralized dashboard to monitor long-running queries, Komodo enabled alerts to notify users about anomalies. Komodo also used multi-cluster compute, resulting in a 70% performance improvement in elapsed query time, with the aforementioned 15% cost reduction.

Healthcare 52

Healthcare SQL Algorithm Architecture 52

Data Engineering Podcast

DECEMBER 17, 2017

How are metrics identified in Siri and is there any support for tagging? Contact Info joente on Github LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? How are metrics identified in Siri and is there any support for tagging?

Database 100

Database Data Pipeline Data Engineering Data Engineer 100

Data Engineering Podcast

APRIL 19, 2021

After listening to this you’ll look at your data pipelines in a new light and start to wonder how you can bring more advanced strategies into the cleaning and transformation process. Interview Introduction How did you get involved in the area of data management? Lots, buildings, units.

Data Pipeline 100

Data Pipeline Machine Learning Data Warehouse Datasets 100

Cloudera

JUNE 27, 2023

Navigating this challenge requires robust data governance controls that permit a holistic view of data, track how data is used and by whom, allow for role-based access, and enable authorized users to access data easily and securely. By correlating network performance with behavioral and hygiene data (e.g.

Data Architecture 62

Data Architecture Architecture Data Governance Government 62

Knowledge Hut

MARCH 13, 2024

The big data engineer then analyzes this data using unique algorithms and data models to gain valuable insights. What Does A Big Data Engineer Do? Roles and Responsibilities] What does a big data engineer do? A big data engineer is crucial to any company’s data management team.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

The big data engineer then analyzes this data using unique algorithms and data models to gain valuable insights. What Does A Big Data Engineer Do? Roles and Responsibilities] What does a big data engineer do? A big data engineer is crucial to any company’s data management team.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Cloudera

DECEMBER 11, 2020

In turn, this created a place for Merck KGaA to discover, analyze, store, mine, and govern relevant data, which is then utilized for advanced analytics and to uncover insights used to fuel the life-altering work Merck KCaA carries out.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Knowledge Hut

NOVEMBER 16, 2023

This enables programmers to insert Java code into HTML pages using particular JSP tags. It is an integrated system of software products that help to perform critical data-entry, data-retrieval, data-management, data-mining, report writing and graphics.

Technology 98

Technology MySQL MongoDB Google Cloud 98

Snowflake

AUGUST 21, 2023

How Roche is putting data mesh principles into action Roche Diagnostics, the Swiss multinational healthcare organization, was relying on legacy data architectures that were prone to bottlenecks, slow release cycles, massive engineering pipelines, and frequent data siloing.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Cloudera

NOVEMBER 10, 2021

These Ranger plugins cache the access privileges and tags at client side. They also periodically poll the privilege and tag store for any changes. Ranger is a comprehensive solution that can enable, manage, and monitor data security across the entire CDP ecosystem.

Hadoop 77

Hadoop SQL Database Kafka 77

Knowledge Hut

FEBRUARY 1, 2024

Understanding the subtleties of Python variables and scope sets the groundwork for successful data management and algorithm implementation in this widely-used and sophisticated programming language. They are crucial for the adaptability of the Python language, enabling programmers to create efficient and adaptable solutions.

Python 98

Python Programming Language Programming Algorithm 98

Cloudera

JANUARY 20, 2021

In order to enable connected manufacturing and emerging IoT use cases, ECC needs a solution that can handle all types of diverse data structures and schemas from the edge, normalize the data, and then share it with any type of data consumer including Big Data applications. . Fig 2: Data collection flow diagram.

Manufacturing 108

Manufacturing Data Warehouse Kafka Retail 108

Knowledge Hut

APRIL 20, 2023

It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements. The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

phData: Data Engineering

DECEMBER 16, 2021

This can help a user avoid wasting their time with bad data or even making sure they are working with correct data according to company policies — all in real-time. Informatica Informatica offers a wide range of tools for your data needs.

Metadata 52

Metadata Datasets ETL Tools Cloud 52

Knowledge Hut

NOVEMBER 18, 2023

Azure Data Lake Storage is for big data. Managed and unmanaged disks store VM data. Azure Backup secures data backups. Monitoring and Management Azure Monitor tracks performance and health. Log Analytics collects and analyzes data. Azure Resource Management Resource Groups group related resources.

Certification 52

Certification SQL PostgreSQL NoSQL 52

Knowledge Hut

APRIL 20, 2023

React Query is a preconfigured data management toolkit for ReactJS that gives you straightforward, declarative power and control over server-side state management, data fetching and caching, and error handling without changing the overall state of your application. So, what is React Query?

Architecture 52

Architecture Food Coding Building 52

Knowledge Hut

SEPTEMBER 29, 2023

Design and implementation of data security (10–15%): In this phase, a data security protocol is designed and put into action. Monitoring and enhancing data processing and storage (10–15%): This section may test your proficiency with data management , optimization, and troubleshooting.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 28, 2023

There is also Apache OpenNLP, which is a toolkit for natural language processing that includes features like text tokenization, part-of-speech tagging, and named entity identification. Working on Hadoop projects is a great way for professionals to get experience in areas like data analysis, data management, and data visualization.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

JUNE 20, 2023

The top five tools are mentioned below: Apache Spark: An open-source data analytics engine that notable firms like Apple, Microsoft, and IBM use. It is one of the swiftest systems for stream processing and data management. Spark is an efficient solution for big data engineering.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Rockset

JANUARY 28, 2020

Their autonomous checkout system only requires easy-to-install overhead cameras, with no other sensors or RFID tags needed on shelves or merchandise. In the real-time analytics scenario, data from disparate sources—structured data managed by Standard and unstructured third-party data—is loaded into Rockset.

Retail 40

Retail Google Cloud Raw Data Data Lake 40

dbt Developer Hub

JULY 2, 2023

Together with dbt tags , the feature allows you to orchestrate your project in an efficient and powerful way. Auditable data ​ One of the main selling points of Data Vault is its auditability. Choosing the right methodology for building your data warehouse is crucial for your system’s capabilities in the long run.

Cloud 52

Cloud Data Warehouse Data BI 52

U-Next

AUGUST 4, 2022

Whenever an image is identified, data from one’s Facebook friends are analysed, and if the features in the images match somebody else’s account after evaluation, Facebook proposes auto-tagging. Targeted Recommendations: The most significant use of Data Science is target suggestions. The compensation ranges from 14.8

Data Science 52

Data Science Medical BI Machine Learning 52

Zalando Engineering

OCTOBER 23, 2017

Smart Products Smart Product Platform (SPP) is Zalando’s new product platform which enables the collection, management and exposure of fashion product data across the organization, at scale. What occasions would you wear it for? What celebrity/influencer is wearing it? Where is it being worn? Where is it popular?

Media 40

Media Manufacturing Data Ingestion Metadata 40

ProjectPro

JUNE 18, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Organizations with on-premise or in cloud big data managements systems will not merely have to invest in hardware or software costs but also will have to incur various other significant startup costs.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

Cloudera

NOVEMBER 19, 2020

For many agencies, 80 percent of the work in support of anomaly detection and fraud prevention goes into routine tasks around data management. Inordinate time and effort are devoted to cleaning and preparing data, resulting in data bottlenecks that impede effective use of anomaly detection tools.

Government 118

Government Machine Learning Algorithm Raw Data 118

Data Engineering Podcast

JUNE 3, 2021

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.

SQL 100

SQL Building Big Data BI 100

The Modern Data Company

MARCH 7, 2023

A data taxonomy uses a system of unambiguous metadata terms (such as a filename or tags attached to a file) that allow an enterprise to classify a file or dataset into important business categories. Data that is properly classified, catalogued, and tagged is usually well-governed data.

Data Governance 52

Data Governance Government Metadata Datasets 52

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. In keeping up with ever-evolving data management needs, we’re announcing new capabilities that support customers across all of these patterns.

Data Lake 91

Data Lake Data Warehouse Cloud Unstructured Data 91

Snowflake

MARCH 30, 2023

3EJHjvm Once a business need is defined and a minimal viable product ( MVP ) is scoped, the data management phase begins with: Data ingestion: Data is acquired, cleansed, and curated before it is transformed. Data governance As a data management framework, feature stores must consider data privacy and data governance.

Engineering 84

Engineering Raw Data Data Science Scala 84

ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming Objective and Summary of the project: Healthcare industries produce massive data every year and to do data management for this industry is one of their topmost priorities. Scalability 4.Link Link Prediction 5.Cloud Cloud Hosting 6.Specialized

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

JULY 26, 2023

Data Management and Visualization: Smartsheet enables you to store and manage data within sheets. Through collaboration and communication, team members can comment on issues, tag other team members and attach files or screenshots. You can also use @mentions to notify specific users and facilitate communication.

Project 52

Project Management Certification Utilities 52

Knowledge Hut

DECEMBER 26, 2023

Features: CloudZero offers various features, such as digital asset management, anomaly detection, real-time alerts, and extensive reporting. It quickly identifies infrastructure vulnerabilities and customizable menus that let users filter data.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98