Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor.

Data Governance 130

Data Governance Government Cloud Building 130

Cloudera

JULY 16, 2021

Did you know Cloudera customers, such as SMG and Geisinger , offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? The Data Warehouse on Cloudera Data Platform provides easy to use self-service and advanced analytics use cases at scale.

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Data Warehouse SQL PostgreSQL MySQL 117

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. RudderStack’s smart customer data pipeline is warehouse-first.

Data Governance 100

Data Governance Government Data Warehouse Data Pipeline 100

Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . Cloudera Data Warehouse vs HDInsight.

Data Warehouse 118

Data Warehouse Cloud Storage Metadata Cloud 118

Monte Carlo

APRIL 16, 2022

The data warehouse is the foundation of the modern data stack, so it caught our attention when we saw Convoy head of data Chad Sanderson declare, “ the data warehouse is broken ” on LinkedIn. Treating data like an API. Immutable data warehouses have challenges too.

Data Warehouse 52

Data Warehouse Architecture Data Government 52

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. Data Governance Trends The biggest data governance trend isn’t really a trend at all—rather, it’s a state of mind.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52

Monte Carlo

OCTOBER 17, 2022

Platform and data warehouse migrations aren’t something you do everyday or even every few years, but they’re becoming much more frequent as organizations seek to modernize their data infrastructure with the new capabilities being offered by Snowflake, Databricks, Google, AWS, and others. Editor’s note: We agree.

Data Warehouse 59

Data Warehouse AWS MySQL Data 59

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. Introduction.

Data Warehouse 94

Data Warehouse Cloud Consulting SQL 94

Grouparoo

JANUARY 11, 2022

This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle. There are two main options available, a data lake and a data warehouse. What is a Data Warehouse? What is a Data Lake?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Cloudera

DECEMBER 11, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 Cloudera Data Warehouse vs EMR. Learn more about Cloudera Data Warehouse on CDP.

Data Warehouse 108

Data Warehouse Metadata Datasets Data 108

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. There are times when the data is structured , but it is often messy since it is ingested directly from the data source. What is Data Warehouse? . Data Warehouse in DBMS: .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Monte Carlo

AUGUST 25, 2023

Different vendors offering data warehouses, data lakes, and now data lakehouses all offer their own distinct advantages and disadvantages for data teams to consider. So let’s get to the bottom of the big question: what kind of data storage layer will provide the strongest foundation for your data platform?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cloud Data Architecture 58

Cloudera

JANUARY 11, 2021

LoB users who run these projects often lack expertise in security and governance requirements. How self-service data warehousing frees IT resources. Cloudera Data Warehouse (CDW) is a cloud service and an integral part of the newly released Cloudera Data Platform (CDP). Cloudera Data Platform Architecture.

Data Warehouse 62

Data Warehouse Pharmaceutical Data Lake BI 62

Data Engineering Podcast

FEBRUARY 18, 2024

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Multiple open source projects and vendors have been working together to make this vision a reality.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Cloudera

SEPTEMBER 23, 2022

These operations are part of the service and a key feature that drives lower total cost of ownership — you do not have to hire or staff an operations team to manage the data lakehouse. Your data warehouse dashboards might be running during business hours and remain unused during other hours. Cost : CDP One is consumption-based.

Data Governance 107

Data Governance Government Amazon Web Services Cloud Computing 107

Cloudera

MAY 28, 2024

Data architecture is what defines the structures and systems within an organization responsible for collecting, storing, and accessing data, along with the policies and processes that dictate how data is governed. When we talk about modern data architecture, there are several unique benefits to this kind of approach.

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Data Architecture Architecture Data Lake Data Warehouse 75

Data Engineering Podcast

JANUARY 21, 2024

A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Christophe Blefari

MARCH 15, 2024

Assisted AI wars are around the corner — I'm only following the French news, but the government is proudly doubling its budget for "AI defense" From what I know, AI is mainly used as an information companion to find signals in the huge amount of data we generate, creating more efficient agents.

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Metadata Datasets Data Data Warehouse 272

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Governing digital transformation. Governing digital transformation.

Government 57

Government Data Governance Data Science Machine Learning 57

Monte Carlo

OCTOBER 17, 2022

Remove the gatekeeper but keep the gate Don’t get me wrong: everyone should care about data quality, security, governance, and usability. Privatize” the commons The most successful data governance programs I’ve come across have domain-driven processes with clear lines of ownership and manageable scopes.

Data Warehouse 52

Data Warehouse Government Data Governance Data 52

Data Engineering Podcast

FEBRUARY 4, 2024

What are the situations where RisingWave can/should be a system of record vs. a point-in-time view of data in transit, with a data warehouse/lakehouse as the longitudinal storage and query engine? What are the user/developer experience elements that you have prioritized most highly?

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Cloudera

NOVEMBER 25, 2020

Protect data and create trust in providers. At the same time, Matthew knows that his patients’ data needs to be secure, governed, and protected – sometimes anonymized and masked. The Vision of a Discovery Data Warehouse. A Discovery Data Warehouse is cloud-agnostic.

Data Warehouse 58

Data Warehouse Unstructured Data Medical Pharmaceutical 58

Simon Späti

SEPTEMBER 30, 2022

Image by Rachel Claire on Pexels Ever wanted or been asked to build an open-source Data Lake offloading data for analytics? Didn’t know the difference between a Data Lakehouse and a Data Warehouse? Asked yourself what components and features would that include.

Data Lake 130

Data Lake Data Warehouse Government Data 130

Simon Späti

AUGUST 25, 2022

Image by Rachel Claire on Pexels Ever wanted or been asked to build an open-source Data Lake offloading data for analytics? Didn’t know the difference between a Data Lakehouse and a Data Warehouse? Asked yourself what components and features would that include.

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Data Lake Data Warehouse Government Data 130

Data Science Blog: Data Engineering

MAY 20, 2024

Enter AnalyticsCreator AnalyticsCreator, a powerful tool for data management, brings a new level of efficiency and reliability to the CI/CD process. It offers full BI-Stack Automation, from source to data warehouse through to frontend. It supports a holistic data model, allowing for rapid prototyping of various models.

Data Pipeline 52

Data Pipeline BI Data Lake Data Warehouse 52

Jesse Anderson

NOVEMBER 15, 2022

My guest this week is Kulani Likotsi , the Head of Data Management and Data Governance at one of the four biggest banks in Africa. She’s had a rising career journey going from an analyst, to a Business Intelligence developer, to the data warehouse team, to the data governance team.

Data Governance 130

Data Governance Government Banking Business Intelligence 130

Knowledge Hut

MARCH 28, 2024

Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. Familiarity with ETL tools and techniques for data integration.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Christophe Blefari

SEPTEMBER 15, 2023

How to reduce warehouse costs? — Hugo propose 7 hacks to optimise data warehouse cost. teej/titan — Titan is a Python library to manage data warehouse infrastructure. Titan allows you to create Snowflake Databases, Warehouses, Role and RoleGrant in a programmatic manner. Crazy amounts.

Data Warehouse 130

Data Warehouse Data SQL Python 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

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used.

IT 147

IT Data Lake Metadata Data Warehouse 147

Christophe Blefari

JANUARY 20, 2024

Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. My advice on this point is to learn from others.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Monte Carlo

MARCH 28, 2023

As part of this movement, Fivetran and dbt fundamentally altered the data pipeline from ETL to ELT. Hightouch interrupted SaaS eating the world in an attempt to shift the center of gravity to the data warehouse. The modern data stack didn’t arise because it did everything better than its predecessor.

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Data Warehouse Raw Data Data Pipeline Software Engineer 126

RandomTrees

NOVEMBER 29, 2023

So, here the argument on what to use and where to use become an important topic to be considered and here we can rather focus on some of the adaptable and sensitive models and we begin to consider the data vaults’ technique. So, what is a data vault model or modelling approach? post which is the ML model trainings.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 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. However, data warehouses can experience limitations and scalability 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. However, data warehouses can experience limitations and scalability challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52