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.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

phData: Data Engineering

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Edureka

APRIL 22, 2025

Fabric is meant for organizations looking for a single pane of glass across their data estate with seamless integration and a low learning curve for Microsoft users. Snowflake is a cloud-native platform for data warehouses that prioritizes collaboration, scalability, and performance. Office 365, Power BI, Azure).

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

Monte Carlo

FEBRUARY 6, 2023

So, you’re planning a cloud data warehouse migration. But be warned, a warehouse migration isn’t for the faint of heart. As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. A worthy quest to be sure.

Data Warehouse 52

Data Warehouse AWS Data Data Validation 52

Striim

MARCH 21, 2025

Batch processing: data is typically extracted from databases at the end of the day, saved to disk for transformation, and then loaded in batch to a data warehouse. Batch data integration is useful for data that isn’t extremely time-sensitive. Electric bills are a relevant example.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

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

Cloudera

SEPTEMBER 9, 2018

We are proud to announce the general availability of Cloudera Altus Data Warehouse , the only cloud data warehousing service that brings the warehouse to the data. Modern data warehousing for the cloud. Modern data warehousing for the cloud.

Data Warehouse 40

Data Warehouse Metadata Cloud Storage Cloud 40

dbt Developer Hub

NOVEMBER 22, 2022

Once your data warehouse is built out, the vast majority of your data will have come from other SaaS tools, internal databases, or customer data platforms (CDPs). Spreadsheets are the Swiss army knife of data processing. But there’s another unsung hero of the analytics engineering toolkit: the humble spreadsheet.

Data Warehouse 52

Data Warehouse ETL Tools Google Cloud Cloud Storage 52

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Cloudera Data Warehouse (CDW) is here to save the day! CDP is Cloudera’s new hybrid cloud, multi-function data platform.

IT 94

IT Data Lake Data Warehouse Cloud Storage 94

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

Rockset

MARCH 1, 2023

If such query workloads create additional data lags then it will actively cause more harm by increasing your blind spot at the exact wrong time, the time when fraud is being perpetrated. OLTP databases aren’t built to ingest massive volumes of data streams and perform stream processing on incoming datasets.

Data Ingestion 144

Data Ingestion Database Architecture SQL 144

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

Data Engineering Podcast

SEPTEMBER 22, 2019

Summary Object storage is quickly becoming the unifying layer for data intensive applications and analytics. Modern, cloud oriented data warehouses and data lakes both rely on the durability and ease of use that it provides. How do you approach project governance and sustainability?

AWS 100

AWS Google Cloud Cloud Storage Data Lake 100

Towards Data Science

NOVEMBER 4, 2023

Often it is a data warehouse solution (DWH) in the central part of our infrastructure. Data warehouse exmaple. It’s worth mentioning that its data frame transformations have been included in one of the basic methods of data loading for many modern data warehouses. Image by author.

Data Engineer 98

Data Engineer Data Engineering Engineering BI 98

ThoughtSpot

MAY 31, 2023

All communication across tenant-specific compute instances, the common services, and external interaction with your cloud data warehouse are secured over the transport layer security (TLS) channel. Search and model assist hints are stored in the tenant specific cloud storage bucket.

Data Security 98

Data Security Metadata Data Warehouse Transportation 98

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

Monte Carlo

JULY 19, 2023

In this article, we’ll present you with the Five Layer Data Stack—a model for platform development consisting of five critical tools that will not only allow you to maximize impact but empower you to grow with the needs of your organization. Before you can model the data for your stakeholders, you need a place to collect and store it.

Building 96

Building Business Intelligence Cloud Storage BI 96

Cloudera

OCTOBER 26, 2020

*For clarity, the scope of the current certification covers CDP-Private Cloud Base. Certification of CDP-Private Cloud Experiences will be considered in the future. The certification process is designed to validate Cloudera products on a variety of Cloud, Storage & Compute Platforms. Encryption.

Certification 87

Certification Cloud Kafka Unstructured Data 87

Cloudera

SEPTEMBER 23, 2022

Hardware (compute and storage) : As with PaaS data lakehouses, the CDP One data lakehouse resides in the cloud and uses virtualized compute. SaaS data lakehouse size and shape is automatically determined for you. You pay for the compute power and storage you use to drive your analytics.

Data Governance 109

Data Governance Government Amazon Web Services Cloud Computing 109

Towards Data Science

APRIL 26, 2023

The purpose is simple: we want to show that we can develop directly against the cloud while minimizing the cognitive overhead of designing and building infrastructure. Plus, we will put together a design that minimizes costs compared to modern data warehouses, such as Big Query or Snowflake. Image from the authors.

Engineering 96

Engineering Data Lake AWS BI 96

Towards Data Science

MARCH 5, 2024

BigQuery basics and understanding costs BigQuery is not just a tool but a package of scalable compute and storage technologies, with fast network, everything managed by Google. At its core, BigQuery is a serverless Data Warehouse for analytical purposes and built-in features like Machine Learning ( BigQuery ML ).

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

RandomTrees

SEPTEMBER 6, 2020

Snowflake Overview A data warehouse is a critical part of any business organization. Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS).

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Cloudera

SEPTEMBER 28, 2021

The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage. RAZ for S3 and RAZ for ADLS introduce FGAC and Audit on CDP’s access to files and directories in cloud storage making it consistent with the rest of the SDX data entities.

Accessibility 62

Accessibility Accessible Cloud Cloud Storage 62

Cloudera

OCTOBER 20, 2020

In addition, a lot of work has also been put into ensuring that Impala runs optimally in decoupled compute scenarios, where the data lives in object storage or remote HDFS. With this new change, the key operations in a query can be scaled vertically within a node if the input data is large enough (i.e.

Utilities 103

Utilities Data Warehouse Cloud SQL 103

Hevo

JUNE 6, 2024

With the emergence of Cloud Data Warehouses, enterprises are gradually moving towards Cloud storage leaving behind their On-premise Storage systems. Amazon Web Services is one such Cloud Computing platform that offers Amazon Redshift as their Cloud Data Warehouse product. […]

Amazon Web Services 40

Amazon Web Services Data Warehouse Cloud Storage Cloud Computing 40

Monte Carlo

FEBRUARY 25, 2025

ELT: When to Transform Your Data ETL (Extract, Transform, Load) ELT (Extract, Load, Transform) Which One Should You Choose? Batch vs. Stream Processing: How to Move Your Data Batch Processing Stream Processing Which One Should You Choose? Data Lakes vs. Data Warehouses: Where Should Your Data Live?

Designing 52

Designing Data Engineer Data Engineering Engineering 52

Towards Data Science

JULY 21, 2023

In this article, we’ll present you with the Five Layer Data Stack — a model for platform development consisting of five critical tools that will not only allow you to maximize impact but empower you to grow with the needs of your organization. Before you can model the data for your stakeholders, you need a place to collect and store it.

Building 98

Building Business Intelligence BI Cloud Storage 98

Cloudera

JULY 15, 2019

After taking this course, you’ll understand how databases provide structure to data and how this has changed as the volume and variety of data have increased. You’ll compare operational and analytic databases and learn what differentiates a modern distributed data warehouse.

Education 59

Education Big Data Data Analysis SQL 59

Cloudyard

JUNE 16, 2024

These files need to be ingested into a data warehouse like Snowflake for further processing and analysis. Automating this process ensures data is consistently and reliably loaded without manual intervention. Suppose you are a data engineer at a company that receives daily sales data from an external vendor.

Cloud Storage 52

Cloud Storage Data Warehouse AWS Data Engineer 52

Towards Data Science

DECEMBER 15, 2023

Taking a hard look at data privacy puts our habits and choices in a different context, however. Data scientists’ instincts and desires often work in tension with the needs of data privacy and security. Anyone who’s fought to get access to a database or data warehouse in order to build a model can relate.

Machine Learning 98

Machine Learning Data Science Data Security Data Storage 98

Monte Carlo

APRIL 24, 2023

By accommodating various data types, reducing preprocessing overhead, and offering scalability, data lakes have become an essential component of modern data platforms , particularly those serving streaming or machine learning use cases. See our post: Data Lakes vs. Data Warehouses.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Cloudera

FEBRUARY 7, 2019

ATB Financial also now runs 40 nodes of HDP on its’ Google Cloud Platform (GCP) — as well as an HDF cluster — as an ingest framework to shift data from an on-premises data warehouse into its HDP cloud cluster for storage and processing.

Big Data 67

Big Data Utilities Google Cloud Data Analytics 67

ProjectPro

JANUARY 24, 2023

With the global cloud data warehousing market likely to be worth $10.42 billion by 2026, cloud data warehousing is now more critical than ever. Cloud data warehouses offer significant benefits to organizations, including faster real-time insights, higher scalability, and lower overhead expenses.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

Cloudera

MAY 18, 2021

Multi-Cloud Management. Single-cloud visibility with Cloudera Manager. Single-cloud visibility with Ambari. Policy-Driven Cloud Storage Permissions. Experience configuration / use case deployment: At the data lifecycle experience level (e.g., data streaming, data engineering, data warehousing etc.),

Hadoop 86

Hadoop Cloud AWS Utilities 86

phData: Data Engineering

APRIL 4, 2023

Customers who don’t necessarily want to put their data directly into a data warehouse like the Snowflake Data Cloud can now use Fivetran to build a performant, governed, managed dataset on top of S3 which can still be efficiently queried and manipulated from within their query engine of choice.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Rockset

MARCH 5, 2021

Understanding the space-time tradeoff in data analytics In computer science, a space-time tradeoff is a way of solving a problem or calculation in less time by using more storage space, or by solving a problem in very little space by spending a long time. However for each query it needs to scan your data.

Cloud Storage 52

Cloud Storage Data Ingestion Data Warehouse Computer Science 52

Monte Carlo

FEBRUARY 15, 2023

Cloud data warehouses solve these problems. Belonging to the category of OLAP (online analytical processing) databases, popular data warehouses like Snowflake, Redshift and Big Query can query one billion rows in less than a minute. What is a data warehouse?

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52