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 96

Data Warehouse Cloud Consulting SQL 96

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. . benchmark.

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Data Warehouse Cloud Storage Metadata Cloud 120

ProjectPro

JUNE 6, 2025

To gain a deeper understanding of Databricks Delta Lake and how it can revolutionize the way we approach data management, read on. Data Warehouse and its Limitations Data Lake and Its Limitations Data Lakehouse What is Databricks Delta Lake? Support streaming data applications to provide near real-time analysis.

Data Lake 63

Data Lake Data Warehouse Metadata BI 63

Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Data Warehouse 90

Data Warehouse Cloud Government Metadata 90

Christophe Blefari

MARCH 15, 2024

Attributing Snowflake cost to whom it belongs — Fernando gives ideas about metadata management to attribute better Snowflake cost. Forward thinking Dataviz is hierarchical — Malloy, once again, provides an excellent article about a new way to see data visualisations. This is Croissant.

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Metadata Software Engineering Software Engineer Data Warehouse 272

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.

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Data Warehouse Metadata Government Data 110

ProjectPro

JUNE 6, 2025

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

ProjectPro

JUNE 6, 2025

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. Another leading European company, Claranet, has adopted Glue to migrate their data load from their existing on-premise solution to the cloud. How Does AWS Glue Work?

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AWS Scala Metadata Data Lake 66

ProjectPro

JUNE 6, 2025

This growth is due to the increasing adoption of cloud-based data integration solutions such as Azure Data Factory. If you have heard about cloud computing , you would have heard about Microsoft Azure as one of the leading cloud service providers in the world, along with AWS and Google Cloud.

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Data Lake Metadata SQL ETL Tools 60

Snowflake

JUNE 10, 2025

Introducing dbt Projects on Snowflake (in public preview soon) Data teams all over the world love dbt because it brings software engineering best practices and efficiency to SQL and Snowpark data transformation workflows within their data warehouses.

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Data Pipeline SQL Python Building 92

Cloudera

DECEMBER 3, 2024

REST Catalog Value Proposition It provides open, metastore-agnostic APIs for Iceberg metadata operations, dramatically simplifying the Iceberg client and metastore/engine integration. It provides real time metadata access by directly integrating with the Iceberg-compatible metastore. Follow the steps below to setup Cloudera: 1.

Metadata 84

Metadata SQL Data Warehouse Database 84

Christophe Blefari

JUNE 21, 2024

Snowflake was founded in 2012 around its data warehouse product, which is still its core offering, and Databricks was founded in 2013 from academia with Spark co-creator researchers, becoming Apache Spark in 2014. Snowflake and Databricks have the same goal, both are selling a cloud on top of classic 1  cloud vendors.

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Metadata Data Warehouse BI MySQL 147

Data Engineering Podcast

OCTOBER 14, 2019

Summary Managing a data warehouse can be challenging, especially when trying to maintain a common set of patterns. What are some of the challenges and mistakes that are common among engineers and analysts with regard to versioning and evolving schemas and the accompanying data?

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Data Warehouse PostgreSQL AWS Programming Language 100

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

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Data Warehouse Cloud Kafka Cloud Storage 72

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.

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Data Governance Government Cloud Building 130

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. A solution.

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Cloud Data Warehouse Banking Metadata 104

Data Engineering Podcast

FEBRUARY 5, 2023

Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses. Go to [dataengineeringpodcast.com/materialize]([link] Support Data Engineering Podcast

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

ProjectPro

JUNE 6, 2025

Today, businesses use traditional data warehouses to centralize massive amounts of raw data from business operations. Amazon Redshift is helping over 10000 customers with its unique features and data analytics properties. Table of Contents AWS Redshift Data Warehouse Architecture 1. Client Applications 2.

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Data Pipeline AWS Project Building 64

ProjectPro

JUNE 6, 2025

So, read on to discover these essential tools for your data management needs. Table of Contents What are Data Warehousing Tools? Why Choose a Data Warehousing Tool? Data warehousing tools are software applications designed to collect, store, manage, and analyze large volumes of data from various sources within an organization.

Data Storage 58

Data Storage PostgreSQL Data Warehouse Database-centric 58

ProjectPro

JUNE 6, 2025

To enhance business alignment, maintain data quality, and facilitate integration, Erwin Data Modeler streamlines and standardizes model design tasks, including complicated queries. Consolidate and develop hybrid architectures in the cloud and on-premises, combining conventional, NoSQL, and Big Data.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

Since it is an incredibly scalable, quick, and affordable option, Data engineers have the flexibility to duplicate their S3 storage across various Availability Zones with Amazon S3. Data engineers can effectively create web-based cloud solutions that expand automatically and have flexible setups owing to Amazon S3.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 6, 2025

With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level. Data integration with ETL has changed in the last three decades. But cloud computing is preferred over the other.

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AWS Data Management Management ETL Tools 40

phData: Data Engineering

NOVEMBER 8, 2024

First, we create an Iceberg table in Snowflake and then insert some data. Then, we add another column called HASHKEY , add more data, and locate the S3 file containing metadata for the iceberg table. In the screenshot below, we can see that the metadata file for the Iceberg table retains the snapshot history.

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Architecture Systems Data Lake Google Cloud 52

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.

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IT Data Lake Metadata Data Warehouse 147

ProjectPro

JUNE 6, 2025

Snowflake is one of the leading cloud-based data warehouses that integrate with various cloud infrastructure environments. Recruiters might test your knowledge of the Snowflake platform if you intend to attend a job interview for a data manager, data architect , or other similar roles.

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Amazon Web Services Data Warehouse ETL Tools AWS 40

ProjectPro

JUNE 6, 2025

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

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Cloud Computing Cloud Amazon Web Services AWS 53

Edureka

MAY 27, 2025

With notebook integration and runtime orchestration, it’s perfect for sophisticated data preparation, machine learning, and intricate pipelines. Synapse Data Warehouse Fabric’s enterprise-class data warehouse facilitates deep integration with OneLake, distributed processing, and massive parallelism.

Architecture 52

Architecture BI Data Lake Government 52

ProjectPro

JUNE 6, 2025

Want to put your cloud computing skills to the test? Dive into these innovative cloud computing projects for big data professionals and learn to master the cloud! Cloud computing has revolutionized how we store, process, and analyze big data, making it an essential skill for professionals in data science and big data.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. It allows us to independently upgrade the Virtual Warehouses and Database Catalogs.

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Data Warehouse Java Metadata Data 82

Data Engineering Weekly

MARCH 5, 2025

This ecosystem includes: Catalogs: Services that manage metadata about Iceberg tables (e.g., Compute Engines: Tools that query and process data stored in Iceberg tables (e.g., Maintenance Processes: Operations that optimize Iceberg tables, such as compacting small files and managing metadata. Trino, Spark, Snowflake, DuckDB).

Hadoop 58

Hadoop Metadata Data Ingestion Data Governance 58

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How can we interoperate between the data domains ? How do we govern all these data products and domains ? It will be illustrated with our technical choices and the services we are using in the Google Cloud Platform.

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Technology Architecture Google Cloud Metadata 130

ProjectPro

JUNE 6, 2025

The result was Apache Iceberg, a modern table format built to handle the scale, performance, and flexibility demands of today’s cloud-native data architectures. Metadata Layer 3. Data Layer What are the main use cases for Apache Iceberg? It maintains references to the latest metadata file for each table.

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Architecture Data Lake Metadata Cloud Storage 40

Data Engineering Podcast

AUGUST 13, 2022

Select Star’s data discovery platform solves that out of the box, with an automated catalog that includes lineage from where the data originated, all the way to which dashboards rely on it and who is viewing them every day. In fact, while only 3.5% That’s where our friends at Ascend.io In fact, while only 3.5%

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Metadata MongoDB MySQL Scala 100

ProjectPro

JUNE 6, 2025

Azure Synapse and Databricks are two of the most popular data warehouse platforms that offer features of ETL pipelines, machine learning , and enterprise data warehousing. But when it comes to choosing the two platforms, it is up to the organization to assess its data management needs.

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Programming Language Data Lake Scala Data Warehouse 40

Cloudera

APRIL 1, 2024

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. Download the complimentary 2023 Gartner Magic Quadrant for Cloud Database Management Systems report.

Cloud 105

Cloud Unstructured Data Metadata Government 105

Cloudera

NOVEMBER 5, 2020

Many organizations struggle to meet growing and variable data warehouse demands. How do you optimize your enterprise-wide infrastructure (mostly cloud) and application expenditures? This is exactly what Cloudera Data Platform (CDP) provides to the Cloudera Data Warehouse. Main Security Features.

Cloud 74

Cloud Data Lake Data Warehouse Metadata 74

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases.

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Database Cloud Data Warehouse Data Lake 90