Data Engineering Podcast

JANUARY 25, 2021

In this episode they describe the data integration challenges facing many B2B companies, how their work on the Hotglue platform simplifies their efforts, and how they have designed the platform to make these ETL workloads embeddable and self service for end users. Can you start by describing what you are building at Hotglue?

Data Integration 100

Data Integration IT Python BI 100

Databand.ai

JUNE 21, 2023

Eric Jones June 21, 2023 What Are Data Integrity Tools? Data integrity tools are software applications or systems designed to ensure the accuracy, consistency, and reliability of data stored in databases, spreadsheets, or other data storage systems. Data integrity tools are vital for several reasons.

Data Integration 52

Data Integration Data Cleanse Data Validation Telecommunication 52

Monte Carlo

JUNE 16, 2023

Data integrity and quality may seem similar at first glance, and they are sometimes used interchangeably in everyday life, but they play unique roles in successful data management. You can have data quality, without data integrity.

Data Integration 52

Data Integration Hospitality Banking Healthcare 52

Ascend.io

APRIL 12, 2023

So when we talk about making data usable, we’re having a conversation about data integrity. Data integrity is the overall readiness to make confident business decisions with trustworthy data, repeatedly and consistently. Data integrity is vital to every company’s survival and growth.

Data Pipeline 52

Data Pipeline Data Integration Datasets Data 52

Data Engineering Podcast

FEBRUARY 26, 2023

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Are you tired of dealing with the headache that is the 'Modern Data Stack'?

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Building Metadata Machine Learning Data Integration 147

Data Engineering Podcast

MARCH 5, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Hey there podcast listener, are you tired of dealing with the headache that is the 'Modern Data Stack'? It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze.

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Building Database Design Metadata Machine Learning 147

Data Engineering Podcast

MARCH 18, 2023

He also explains why data security is distinct from application security and some methods for reducing the challenge of working across different data systems. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Join in with the event for the global data community, Data Council Austin.

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Data Security Machine Learning Data Science Metadata 130

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

The Modern Data Company

FEBRUARY 2, 2024

This efficiency doesn’t just speed things up; it fundamentally changes how swiftly and effectively you can harness the power of your data assets. These data products are not mere collections of data; they are ready-to-use, trustworthy resources that fundamentally change the game.

Raw Data 75

Raw Data Utilities Government Data 75

Knowledge Hut

APRIL 23, 2024

In the current digital era, data has become a crucial asset for businesses in all industries. Effective data management is essential for businesses to make informed decisions, enhance customer experiences, and acquire a competitive edge. Data accuracy, completeness, and consistency depend on efficient ETL operations.

Database 52

Database Management Relational Database SQL 52

Databand.ai

AUGUST 30, 2023

Data Testing Tools: Key Capabilities and 6 Tools You Should Know Helen Soloveichik August 30, 2023 What Are Data Testing Tools? Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

Data Engineering Podcast

AUGUST 20, 2023

In this episode Greg Werner explains how they are using generative AI as an assistive tool for creating educational material, as well as building a data driven experience for learners. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

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Education BI SQL Database 130

Knowledge Hut

MARCH 27, 2024

depending on the specific data structure used. Purpose Designed to store and retrieve large volumes of data efficiently and support complex queries. Primarily used for organizing and optimizing data to perform specific operations within a program efficiently. Varied formats like arrays, linked lists, trees, etc.,

Database 52

Database Algorithm Relational Database PostgreSQL 52

Databand.ai

MAY 30, 2023

Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration. Maintaining high data quality is crucial for organizations to gain valuable insights, make informed decisions, and achieve their goals. capitalization).

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

The Modern Data Company

APRIL 15, 2024

Understands how different pieces of data (books) relate to each other, helping users find related information. Keeps the library orderly, adjusting as new data arrives. Tracks key performance indicators to understand the use and value of the data. Manages information about data access and monitors data quality.

Government 52

Government Metadata Data Data Lake 52

Data Engineering Podcast

FEBRUARY 13, 2022

In this episode CEO and founder Soumyadeb Mitra explains how Rudderstack compares to the various other tools and platforms that share some overlap, how to set it up for your own data needs, and how it is architected to scale to meet demand. What are the main use cases that Rudderstack is designed to support? How does it work?

Building 100

Building Hadoop Data Pipeline Metadata 100

Knowledge Hut

APRIL 23, 2024

The Emergence of Data Storage and Processing Technologies A data storage facility first appeared in the form of punch cards, developed by Basile Bouchon to facilitate pattern printing on textiles in looms. Herman Hollerith, a US Bureau employee, developed the analytical engine and strengthened its capacity to store data.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

ProjectPro

FEBRUARY 8, 2023

ETL developers play a vital role in designing, implementing, and maintaining the processes that help organizations extract valuable business insights from data. ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. 3. Expansion beyond core data management. It accomplishes this while avoiding issues around interoperability among the workloads.

Data Management 43

Data Management Management Metadata Government 43

Data Engineering Podcast

SEPTEMBER 25, 2022

Summary Data integration from source systems to their downstream destinations is the foundational step for any data product. With the increasing expecation for information to be instantly accessible, it drives the need for reliable change data capture. What do you have planned for the future of CDC at Fivetran?

Food 100

Food MongoDB Scala MySQL 100

Knowledge Hut

NOVEMBER 17, 2023

Their job entails Azure data engineer skills like using big data, databases, data lakes, and analytics to help firms make efficient data-driven decisions. The DP 203 syllabus is designed by incorporating real-world business case studies and activities, you can make sure that your abilities are applicable to the workplace.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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. In ELT, the process of loading data into the target system is typically automated for efficiency and reliability. What Is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

SEPTEMBER 25, 2023

Who is an Azure Data Engineer? As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. Azure Data Engineers work with these and other solutions. They guarantee that the data is efficiently cleaned, converted, and loaded.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Data Cleanse 66

Data Cleanse Data Governance Unstructured Data Cloud Storage 66

Knowledge Hut

JULY 27, 2023

With cyber threats becoming increasingly complex and sophisticated, it is crucial for organizations and individuals to implement strong security measures to safeguard sensitive information and maintain data integrity. Moreover, hash functions in cyber security are widely used in data deduplication and indexing systems.

IT 52

IT Algorithm Utilities Data Integration 52

The Modern Data Company

APRIL 15, 2024

However, integrating data-driven approaches into our operations can seem daunting, primarily due to longstanding habits and traditional methods. But a chef needs the right tools and ingredients to make that perfect dish, and businesses require a well-designed system—or “machine”—to harness the power of data efficiently.

Building 52

Building Raw Data Food Data 52

Precisely

MARCH 27, 2023

We help enterprise leaders deliver transformational results, focusing first on the “why” and then proceed to design and execution that helps them to attain a measurable ROI for an enterprise data strategy. We help companies design, implement, operationalize, and ultimately optimize their enterprise data solutions.

Food 52

Food Consulting Pharmaceutical Data Lake 52

Data Engineering Podcast

MARCH 22, 2021

In this episode Raghu Murthy, founder and CEO of Datacoral, does a deep dive on how he and his team manage change data capture pipelines in production. What are the factors that you need to consider when deciding whether to implement a CDC system for a given data integration? What are the alternatives to CDC?

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Databand.ai

JULY 11, 2023

Data Quality Platform: Benefits, Key Features, and How to Choose Eric Jones July 11, 2023 What Is a Data Quality Platform? A data quality platform is a software solution designed to help organizations manage, maintain, and improve the quality of their data.

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52

Knowledge Hut

MARCH 26, 2024

Growing Technology Landscape: With the rapid advancements in technology, there's an increasing demand for professionals who can design and implement complex IT solutions. Role Level: Typically a senior-level position requiring extensive experience in architecture design and implementation across various domains and industries.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

JANUARY 30, 2024

This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins. The extracted data is then duplicated or transferred to a designated destination, often a data warehouse optimized for Online Analytical Processing (OLAP).

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

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. Data Integrity Today’s innovators take proactive steps to improve the quality and integrity of their most important data.

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Data Process Process Data Data Integration 52

Knowledge Hut

MARCH 22, 2024

You maintain the data integrity, security, and performance by monitoring, optimizing, and troubleshooting database operations. Proficiency in MongoDB query language and database design principles. You work with stakeholders to collect requirements and create data models, schema designs, and replication strategies.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Data Engineering Podcast

SEPTEMBER 7, 2020

For analytical use cases you often want to combine data across multiple sources and storage locations. This frequently requires cumbersome and time-consuming data integration. If you hand a book to a new data engineer, what wisdom would you add to it? What was the motivation for releasing Presto as open source?

Architecture 100

Architecture Data Architecture SQL Engineering 100

Knowledge Hut

SEPTEMBER 27, 2023

At KnowledgeHut, we offer the Microsoft Power BI Data Analyst Associate certification , a specialized course tailored to equip data analysts with essential skills for harnessing the full potential of Microsoft Power BI. Power BI is a robust data analytics tool, that enable analysis, dynamic dashboards, and seamless data integration.

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BI Datasets Data Security Data Analysis 52