Precisely

AUGUST 8, 2023

Data governance is rapidly shifting from a leading-edge practice to a must-have framework for today’s enterprises. Although the term has been around for several decades, it is only now emerging as a widespread practice, as organizations experience the pain and compliance challenges associated with ungoverned data.

Data Governance 52

Data Governance Government Data Education 52

Data Engineering Podcast

MAY 20, 2021

Summary Data governance is a phrase that means many different things to many different people. This is because it is actually a concept that encompasses the entire lifecycle of data, across all of the people in an organization who interact with it. data stewards, business glossaries, etc.)

Data Governance 100

Data Governance Government Data Warehouse Data Pipeline 100

Monte Carlo

JANUARY 24, 2024

Data is among your company’s most valuable commodities, but only if you know how to manage it. More data, more access to data, and more regulations mean data governance has become a higher-stakes game. At the same time, data governance technologies are growing more intelligent.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52

Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Data Engineering Podcast

MAY 12, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. Code Comments Podcast Logo]([link] Putting new technology to use is an exciting prospect. Want to see Starburst in action?

Management 130

Management Data Lake High Quality Data Machine Learning 130

Data Engineering Podcast

APRIL 21, 2024

Summary Generative AI has rapidly transformed everything in the technology sector. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines.

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Data Engineering Podcast

MARCH 24, 2024

In this episode Pete Hunt, CEO of Dagster labs, outlines these new capabilities, how they reduce the burden on data teams, and the increased collaboration that they enable across teams and business units. What are the most interesting, unexpected, or challenging lessons that you have learned while working on the design and launch of Dagster+?

Data Lake 162

Data Lake High Quality Data Hadoop Data Pipeline 162

Data Engineering Podcast

FEBRUARY 4, 2024

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Data Engineering Podcast

FEBRUARY 18, 2024

In this episode Dain Sundstrom, CTO of Starburst, explains how the combination of the Trino query engine and the Iceberg table format offer the ease of use and execution speed of data warehouses with the infinite storage and scalability of data lakes. What do you have planned for the future of Trino/Starburst?

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. Potential downsides of data lakes include governance and integration challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. Potential downsides of data lakes include governance and integration challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. Potential downsides of data lakes include governance and integration challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52

Data Engineering Podcast

MARCH 31, 2024

Identifying and accounting for those errors is a critical piece of building trust in the organization that your data is accurate and up to date. While there are numerous products available to provide that visibility, they all have different technologies and workflows that they focus on. How is Elementary designed/implemented?

Project 130

Project Data Lake High Quality Data Data Workflow 130

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Can you describe your experiences with Kafka?

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Data Engineering Podcast

JANUARY 28, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. SIEM) A query engine is useless without data to analyze. What are the data acquisition paths/sources that you are designed to work with?-

Data Lake 147

Data Lake Building High Quality Data AWS 147

Data Engineering Podcast

JULY 12, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management You listen to this show to learn about all of the latest tools, patterns, and practices that power data engineering projects across every domain. Can you start by giving your definition of the modern data stack?

Designing 100

Designing Data Warehouse Data Governance Consulting 100

Data Engineering Podcast

MARCH 10, 2024

In this episode Alex Merced explains how the branching and merging functionality in Nessie allows you to use the same versioning semantics for your data lakehouse that you are used to from Git. What are the core problems/complexities that Nessie is designed to solve? What is involved in integrating Nessie into a given data stack?

Data Lake 147

Data Lake High Quality Data Data Pipeline Architecture 147

Data Engineering Podcast

MARCH 3, 2024

Summary Artificial intelligence technologies promise to revolutionize business and produce new sources of value. Colleen Tartow has worked across all stages of the data lifecycle, and in this episode she shares her hard-earned wisdom about how to conduct an AI program for your organization.

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Data Engineering Podcast

NOVEMBER 16, 2020

In this episode CEO and co-founder of Isima Darshan Rawal explains how the biOS platform is architected to enable ease of use, the challenges that were involved in building an entirely new system from scratch, and how it can integrate with the rest of your data platform to allow for incremental adoption. What is the story behind the name?

Data Management 100

Data Management Management BI Business Intelligence 100

The Modern Data Company

JANUARY 22, 2024

In response, The Modern Data Company emerged, driven by a clear mission: to revolutionize data management and address challenges posed by a diverse and rapidly evolving data environment. Data fabric design support We’ve always been forward-thinking in our approach to data integration.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

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

Snowflake

JANUARY 15, 2024

Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Enterprise Data Integrator is fueled by Informatica Superpipe for Snowflake, which enables up to 3.5x

Data Integration 97

Data Integration BI Cloud Data 97

Data Engineering Podcast

DECEMBER 17, 2023

Summary The "modern data stack" promised a scalable, composable data platform that gave everyone the flexibility to use the best tools for every job. In this episode founder Tarush Aggarwal explains how the realities of the modern data stack are impacting data teams and the work that they are doing to accelerate time to value.

Data Lake 130

Data Lake High Quality Data SQL Architecture 130

The Modern Data Company

JANUARY 22, 2024

In response, The Modern Data Company emerged, driven by a clear mission: to revolutionize data management and address challenges posed by a diverse and rapidly evolving data environment. These independently deployable units encapsulate and orchestrate functionalities essential for robust and efficient data management.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

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

Data Engineering Podcast

NOVEMBER 26, 2023

In this episode Tobias Macey shares his thoughts on the challenges that he is facing as he prepares to build the next set of architectural layers for his data platform to enable a larger audience to start accessing the data being managed by his team. Closing Announcements Thank you for listening!

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

The Modern Data Company

FEBRUARY 15, 2023

Technology moves fast. Companies must then take creative measures to “fix” technology challenges, leaving them with temporary solutions that quickly obsolesce. You can’t blame companies for playing the cards they’re given, but now data debt is costing companies more than they think, even when solutions seem to be working…for now.

Government 98

Government Data Governance Raw Data Data 98

Data Engineering Podcast

DECEMBER 10, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management You shouldn't have to throw away the database to build with fast-changing data. How did this focus on ease of adoption influence the way that you approached the overall design of the project?

Data Lake 130

Data Lake High Quality Data SQL Architecture 130

Zalando Engineering

JULY 28, 2021

The Master Data Management Challenge Master data management (MDM) is a technology-enabled discipline in which business and Information Technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.

Technology 52

Technology Data Systems Data Governance 52

Snowflake

APRIL 29, 2024

This regulation aims to strengthen the operational resilience of financial entities (FEs), and their third-party information and communication technology (ICT) providers. The second batch of DORA policy products, which aims to strengthen oversight and risk management for third-party ICT providers, is currently under development.

Transportation 83

Transportation Data Governance Government Consulting 83

Data Engineering Podcast

NOVEMBER 19, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data projects are notoriously complex. With multiple stakeholders to manage across varying backgrounds and toolchains even simple reports can become unwieldy to maintain. What was your path to adoption of dbt?

Project 147

Project Data Lake High Quality Data SQL 147

Databand.ai

AUGUST 30, 2023

Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics. Technical Challenges Choosing appropriate tools and technologies is critical for streamlining data workflows across the organization.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Data Engineering Podcast

NOVEMBER 5, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.

PostgreSQL 147

PostgreSQL Data Lake High Quality Data SQL 147

Data Engineering Weekly

MARCH 3, 2024

The article explains the challenges with frequent updates in the vanilla data lake setup and how Hudi allows for faster writes and guarantees atomicity, consistency, isolation, and durability (ACID). Part 1: Why did we need to build our own SIEM? link] All rights reserved ProtoGrowth Inc, India.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Striim

FEBRUARY 19, 2024

Central to unlocking the potential of these frameworks is Striim, a platform that facilitates real-time data integration, analytics, and event processing, providing businesses can fully leverage their data. Data Fabric uses advanced technology, such as AI and machine learning, to automatically find, manage, and combine data.

Data Integration 52

Data Integration Government Data Data Governance 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