Data Engineering Podcast

JULY 22, 2019

Summary The current trend in data management is to centralize the responsibilities of storing and curating the organization’s information to a data engineering team. This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access.

Data Lake 100

Data Lake Hadoop Data Architecture 100

Data Engineering Podcast

NOVEMBER 2, 2020

Summary Data lakes are gaining popularity due to their flexibility and reduced cost of storage. Along with the benefits there are some additional complexities to consider, including how to safely integrate new data sources or test out changes to existing pipelines.

Data Lake 100

Data Lake PostgreSQL Datasets Machine Learning 100

phData: Data Engineering

APRIL 4, 2023

Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading scalability, data availability, security, and performance.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Seattle Data Guy

FEBRUARY 10, 2024

Photo by Tiger Lily Data warehouses and data lakes play a crucial role for many businesses. It gives businesses access to the data from all of their various systems. As well as often integrating data so that end-users can answer business critical questions.

Data Lake 162

Data Lake Data Warehouse Data Accessible 162

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Enterprises here and now catalyze vast quantities of data, which can be a high-end source of business intelligence and insight when used appropriately. Delta Lake allows businesses to access and break new data down in real time.

Data Lake 215

Data Lake Business Intelligence Designing Accessible 215

Cloudera

SEPTEMBER 15, 2020

Cloudera Data Platform 7.2.1 introduces fine-grained authorization for access to Azure Data Lake Storage using Apache Ranger policies. Cloudera and Microsoft have been working together closely on this integration, which greatly simplifies the security administration of access to ADLS-Gen2 cloud storage.

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Accessible Accessibility Cloud Cloud Storage 75

Towards Data Science

SEPTEMBER 27, 2023

Data Access API over Data Lake Tables Without the Complexity Build a robust GraphQL API service on top of your S3 data lake files with DuckDB and Go Photo by Joshua Sortino on Unsplash 1. Likewise, we will need some ETL jobs that can handle and transform data files in S3 and load them into the database.

Data Lake 93

Data Lake Accessible Accessibility SQL 93

Data Engineering Podcast

FEBRUARY 19, 2023

Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. Can you describe what Iceberg is and its position in the data lake/lakehouse ecosystem? Can you describe what Iceberg is and its position in the data lake/lakehouse ecosystem?

IT 147

IT Data Lake Metadata Data Warehouse 147

ProjectPro

JULY 22, 2016

For the same cost, organizations can now store 50 times as much data as in a Hadoop data lake than in a data warehouse. Data lake is gaining momentum across various organizations and everyone wants to know how to implement a data lake and why.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Data Engineering Podcast

AUGUST 20, 2021

Summary Data lakes have been gaining popularity alongside an increase in their sophistication and usability. Despite improvements in performance and data architecture they still require significant knowledge and experience to deploy and manage. Can you describe what Cuelake is and the story behind it?

Building 100

Building Data Lake Data Warehouse SQL 100

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. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

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Data Lake Building High Quality Data AWS 147

Ascend.io

AUGUST 31, 2023

Secondly , the rise of data lakes that catalyzed the transition from ELT to ELT and paved the way for niche paradigms such as Reverse ETL and Zero-ETL. Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape.

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Data Lake ETL Tools Data Warehouse Data Pipeline 52

François Nguyen

MARCH 22, 2021

With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services. The core idea of Data Mesh is how you can develop the data usages and remove the centralized and monolitich data warehouse where you have very less access.

Architecture 130

Architecture Technology Google Cloud Metadata 130

Cloudera

JUNE 2, 2022

Over the last decade, we have often heard about the proliferation of data creating sources (mobile applications, laptops, sensors, enterprise apps) in heterogeneous environments (cloud, on-prem, edge) resulting in the exponential growth of data being created. What are the key capabilities that a data distribution service has to have?

Systems 99

Systems Data Lake Google Cloud Data Collection 99

Cloudera

JUNE 25, 2021

This blog post outlines detailed step by step instructions to perform Hive Replication from an on-prem CDH cluster to a CDP Public Cloud Data Lake. CDP Data Lake cluster versions – CM 7.4.0, Pre-Check: Data Lake Cluster. Understanding Ranger Policies in Data Lake Cluster. Runtime 7.2.8.

Cloud 69

Cloud Data Lake Cloud Storage Metadata 69

Data Engineering Weekly

MARCH 3, 2024

This approach led to a successful expansion of Copilot access across the engineering team, resulting in a significant increase in productivity and adoption, demonstrating a commitment to enhancing developer experience while maintaining safety and security standards.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Cloudera

MARCH 17, 2023

The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data. The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse.

Education 61

Education Unstructured Data Data Lake Data Warehouse 61

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. Toolsets and strategies have had to shift to ensure controlled access to data. It established a data governance framework within its enterprise data lake.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for.

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Data Lake Data Storage Government Kafka 86

Knowledge Hut

NOVEMBER 2, 2023

Professionals deploy databases, manage credentials and access, and integrate with other AWS services or applications. Implementing Basic IAM Security Difficulty Level: Beginner AWS cloud practitioner projects permit the implementation of Identity and Access Management (IAM) fundamental security controls.

AWS 52

AWS Coding Cloud Project 52

Cloudyard

AUGUST 22, 2023

This feature significantly contributes to enhancing your data management capabilities within the Snowflake ecosystem. One challenge when it comes to loading data into Snowflake database tables and querying external data lakes pertains to the Cost of data transfer. Zero egress fees mean zero vendor lock-in.”

Bytes 52

Bytes Data Lake Cloud Storage Cloud 52

Scott Logic

APRIL 22, 2024

Large-model AI is becoming more and more influential in the market, and with the well-known tech giants starting to introduce easy-access AI stacks, a lot of businesses are left feeling that although there may be a use for AI in their business, they’re unable to see what use cases it might help them with. Responsible use is key.

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BI Software Engineer Software Engineering Algorithm 97

The Modern Data Company

MARCH 23, 2023

However, to unlock the maximum power of corporate data, it is necessary to mix data from different systems and allow each data source to enhance the others. Various architectures, from data warehouses to data lakes, have attempted to help solve this problem over the years.

Data Lake 95

Data Lake Data Warehouse Architecture Systems 95

Monte Carlo

JUNE 28, 2022

To help organizations realize the full potential of their data lake and lakehouse investments, Monte Carlo, the data observability leader, is proud to announce integrations with Delta Lake and Databricks’ Unity Catalog for full data observability coverage. billion in 2020 to 17.60 billion in 2020 to 17.60

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

Knowledge Hut

MARCH 19, 2024

Cloud computing is a technology that allows remote access to computing resources such as servers, storage, databases, networks, software, and analytics via the Internet. Remote Cooperation Cloud services facilitate seamless communication across teams regardless of physical locations by enabling remote access to data and applications.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services AWS 52

DataKitchen

NOVEMBER 4, 2021

Cloud computing has made it much easier to integrate data sets, but that’s only the beginning. Creating a data lake has become much easier, but that’s only ten percent of the job of delivering analytics to users. It often takes months to progress from a data lake to the final delivery of insights.

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Process Data Process Pharmaceutical Data Lake 98

Data Engineering Weekly

MAY 5, 2024

The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset. link] LinkedIn: LakeChime - A Data Trigger Service for Modern Data Lakes LinkedIn points out two critical flaws in a partitioned approach to data management.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). The data is protected but it is also accessible by the people who need it.

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Government Metadata Data Lake Data 79

Knowledge Hut

NOVEMBER 17, 2023

To provide end users with a variety of ready-made models, Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs. Data Security : Data engineers often play a role in data security by implementing access controls and encryption measures to protect data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Snowflake

SEPTEMBER 14, 2023

Unbound by the limitations of a legacy on-premises solution, its multi-cluster shared data architecture separates compute from storage, allowing data teams to easily scale up and down based on their needs. Business users have better access to data with less IT oversight needed.

Data Architecture 95

Data Architecture Architecture Hadoop Data Warehouse 95

U-Next

MARCH 1, 2023

They are also responsible for ensuring that the data is clean and organized, as well as making sure that it’s easily accessible to other departments within the company. They often work closely with database administrators to ensure they have access to all of the tools and resources needed to meet their goals.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Monte Carlo

MARCH 4, 2024

Made For The Lakehouse: Iceberg and Delta There was a point in time not too long ago that data lake vs. data warehouse was a heated and important debate. Most major data cloud providers support both use cases. Now data teams can have their lake and eat it too.

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Metadata Data Lake Data Warehouse Data Engineering 52