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

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 69

Data Warehouse Cloud Kafka Cloud Storage 69

Cloudera

SEPTEMBER 10, 2018

Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. Informatica’s Big Data Manager and Qlik’s acquisition of Podium Data are just 2 examples.

Data Warehouse 43

Data Warehouse BI Unstructured Data Data 43

Cloudera

SEPTEMBER 17, 2018

However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. Consider the following: More data types to be queried, but increasingly the data resides in separate silos.

Data Warehouse 52

Data Warehouse SQL Portfolio MySQL 52

Advancing Analytics: Data Engineering

JUNE 21, 2019

Hear me out – back in the on-premises days we had data loading processes that connect directly to our source system databases and perform huge data extract queries as the start of one long, monolithic data pipeline, resulting in our data warehouse. Are you still bound by source-system access? Till next time.

Data Warehouse 52

Data Warehouse Business Intelligence Data Data Validation 52

Hevo

APRIL 12, 2024

Huge performance-boosting opportunities await those who choose the optimal data warehouse for their business. Identifying custom data points that steer your organizations’ successful outcomes is crucial. Decision-making is optimized through sophisticated means of accessing and analyzing your company’s data.

Data Warehouse 52

Data Warehouse Accessible Accessibility Data 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.

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

Cloudera

JANUARY 19, 2024

Below are the models tested by Cloudera: Data shared with the LLM models It is important to understand that by using the SQL AI Assistant you are sending your own prompts and also significant additional information as input to the LLM. Azure subscription First, get Azure access. Log in to the Cloudera Data Warehouse service as DWAdmin.

SQL 71

SQL Data Warehouse AWS Architecture 71

Knowledge Hut

APRIL 25, 2024

Data warehouses are traditional relational database management systems (RDBMS) that have been enhanced with architectural changes and added functionality to support big data analytics. The two most popular data warehouse systems are Teradata and Oracle Exadata. Data processing is where the real magic happens.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Cloudera

FEBRUARY 12, 2024

Get it wrong and your deployment may become wholly unusable with users unable to access and use the Cloudera data services. Service endpoint is a simpler implementation to allow resources on a private network to access managed services on Azure Cloud. That can be configured at a subnet level.

MySQL 52

MySQL PostgreSQL Data Warehouse Machine Learning 52

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

Netflix Tech

MARCH 7, 2024

The user can choose the most suitable tool for manipulating data, such as Pandas or Polars to use a dataframe API, or one of our internal C++ libraries for various high-performance operations. Thanks to Arrow, data can be accessed through these libraries in a zero-copy fashion.

Systems 90

Systems Media Machine Learning Data Warehouse 90

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, 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. But they should!

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, 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. But they should!

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Data Engineering Weekly

DECEMBER 29, 2022

era of Data Catalog Let’s call the pre-modern era; as the state of Data Warehouses before the explosion of big data and subsequent cloud data warehouse adoption. Applications deployed in a large monolithic web server with all the data warehouse changes go through a central data architecture team.

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

Knowledge Hut

MARCH 28, 2024

Role Level: Intermediate Responsibilities Develop and enforce data governance policies, standards, and procedures in Azure environments. Implement data security measures, access controls, and encryption mechanisms to protect sensitive data. Familiarity with ETL tools and techniques for data integration.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 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. Data engineers spent 20% of their time on infrastructure issues such as tuning Spark jobs.

Data Architecture 95

Data Architecture Architecture Hadoop Data Warehouse 95

Knowledge Hut

MARCH 7, 2024

This implies two things, one, the data coming from one source is out of date when compared to another source. Two, it creates a commonality of data definitions, concepts, metadata and the like. However, regulating access is one of the primary challenges for companies who frequently work with large sets of data.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

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.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Towards Data Science

DECEMBER 1, 2023

This tool automates ELT (Extract, Load, Transform) process, integrating your data from the source system of Google Calendar to our Snowflake data warehouse. Storage —  Snowflake Snowflake, a cloud-based data warehouse tailored for analytical needs, will serve as our data storage solution.

Data Engineering 73

Data Engineering Data Engineer Project Engineering 73

Cloudera

OCTOBER 4, 2023

A unique architecture to optimize for real-time data warehousing and business analytics: Cloudera Data Platform (CDP) offers Apache Kudu as part of our Data Hub cloud service, providing a consistent, dependable way to support the ingestion of data streams into our analytics environment, in real time, and at any scale.

Telecommunication 84

Telecommunication Data Warehouse Java Manufacturing 84

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Snowflake

APRIL 9, 2024

However, that data must be ingested into our Snowflake instance before it can be used to measure engagement or help SDR managers coach their reps — and the existing ingestion process had some pain points when it came to data transformation and API calls. Each of these sources may store data differently. But that’s not all.

BI 74

BI Data Ingestion Data Aggregated Data 74

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 80

Data Warehouse Database-centric Metadata Cloud 80

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). SDX Integration (Ranger): Manage access to Iceberg tables through Apache Ranger. Using CDW with Iceberg.

Data Warehouse 89

Data Warehouse BI Machine Learning SQL 89

Cloudera

NOVEMBER 12, 2020

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Cloud 102

Cloud Data Warehouse Banking Data 102

Cloud Academy

NOVEMBER 6, 2022

A Headless BI tool is a set of components that acts as middleware between your data warehouse and your business intelligence applications. It provides us with four main data-related components without the need of designing and implementing custom solutions. You should not be able to access the usage data of company B.

Cloud 52

Cloud BI Data Warehouse Business Intelligence 52

Hevo

SEPTEMBER 26, 2023

In modern data analytics, organizations utilize data warehouses to store vast amounts of historical data, ensuring data analysts can easily access critical information. The historical data is vital for deriving actionable insights and driving effective decision-making.

Data Warehouse 52

Data Warehouse Utilities Data Analytics Accessible 52

RandomTrees

FEBRUARY 29, 2024

Snowflake is a cloud-based data warehousing platform that has arisen as a primary answer for organizations hoping to use the power of data analytics in the cloud. With its adaptability, execution, and usability, Snowflake offers critical benefits over conventional on-premises data warehouses.

Data Warehouse 52

Data Warehouse Utilities Consulting Certification 52

RandomTrees

MARCH 8, 2024

In this article, we’ll explore the concept of table clustering and how it can significantly enhance the performance of your Snowflake data warehouse. Understanding Table Clustering Table clustering is a technique in Snowflake that involves physically organizing data in a table based on one or more columns.

Data Warehouse 52

Data Warehouse Datasets Retail Big Data 52

Workfall

JULY 4, 2023

With DBT, they weave powerful SQL spells to create data models that capture the essence of their organization’s information. DBT’s superpowers include seamlessly connecting with databases and data warehouses, performing amazing transformations, and effortlessly managing dependencies to ensure high-quality data.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Snowflake

APRIL 5, 2023

Two different data modeling approaches—dimensional data modeling and Data Vault—each have their own pros and cons. Modernizing a data warehouse with Snowflake Data Cloud is a smart investment that can provide significant benefits to businesses of all sizes, today more than ever as data models become ever more complex.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

Snowflake

MAY 9, 2024

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI). Watch the full Data Cloud Now interview to learn more.

Unstructured Data 92

Unstructured Data Manufacturing Retail Data Warehouse 92

AltexSoft

AUGUST 29, 2023

The term data lake itself is metaphorical, evoking an image of a large body of water fed by multiple streams, each bringing new data to be stored and analyzed. Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

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

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52