AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Delta Lake doesn’t have a specific concept for incremental queries.

Data Lake 115

Data Lake Data Warehouse Visualization Snapshot 115

Cloudera

OCTOBER 11, 2022

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. But it isn’t just aggregating data for models. Data needs to be prepared and analyzed. Different data types need different types of analytics – real-time, streaming, operational, data warehouses.

Snapshot 89

Snapshot Data Science Digital Transformation Metadata 89

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. When we look ahead, that same architectural foundation we have spent decades perfecting and innovating is also bringing Db2 into future. Nedbank builds a scalable data warehouse architecture .

Data Lake 90

Data Lake Data Warehouse Publishing Structured Data 90

Alation

NOVEMBER 2, 2022

And that’s even in the midst of 2022, which has been a tumultuous year from a macro perspective. We had not seen that in the broader intelligence & data governance market.”. Right now, it’s probably not a secret that the amount and the pace of financings – if you compare 2022 to 2021 – is night and day,” he continues.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

Cloudera

JULY 11, 2022

What used to be bespoke and complex enterprise data integration has evolved into a modern data architecture that orchestrates all the disparate data sources intelligently and securely, even in a self-service manner: a data fabric. Cloudera data fabric and analyst acclaim. Next steps.

Data Architecture 104

Data Architecture Data-driven Cost-Benefit Data Warehouse 104

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

Alation

APRIL 25, 2023

Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. And the rise in data valuation has been compared to that of oil during the 19th century. The comparison makes sense because, like petroleum, data has enormous potential. This is where a reverse ETL process is needed.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

CIO Business Intelligence

APRIL 4, 2023

In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. This architecture is important because, to reap the full benefits of AI, it must be built to scale across an enterprise versus individual AI applications. Constructing the right data architecture cannot be bypassed.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. AWS Glue released version 4.0 runtime ( 3.5

Testing 80

Testing Data Lake Cost-Benefit Data Integration 80

CIO Business Intelligence

SEPTEMBER 21, 2023

The world has flipped since 2022,” says David McCurdy, chief enterprise architect and CTO at Insight. To make all this possible, the data had to be collected, processed, and fed into the systems that needed it in a reliable, efficient, scalable, and secure way. Then gen AI came out.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Alation

APRIL 25, 2023

Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. And the rise in data valuation has been compared to that of oil during the 19th century. The comparison makes sense because, like petroleum, data has enormous potential. This is where a reverse ETL process is needed.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 83

Management Metadata Data Architecture Data Lake 83

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation. S3 data lake – Contains the web activity and leads datasets.

Data Lake 88

Data Lake Data Warehouse Marketing Management 88

Cloudera

JUNE 30, 2022

In February 2022, we introduced Apache Iceberg as a technical preview within CDP. Over the past decade, Cloudera has enabled multi-function analytics on data lakes through the introduction of the Hive table format and Hive ACID. Supercharge your data lakehouse, make it open. Read why the future of data lakehouses is open.

Data Lake 83

Data Lake Data Architecture Metadata Data Warehouse 83

AWS Big Data

NOVEMBER 15, 2023

Bayerische Motoren Werke AG (BMW) is a motor vehicle manufacturer headquartered in Germany with 149,475 employees worldwide and the profit before tax in the financial year 2022 was € 23.5 The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse.

Dashboards 98

Dashboards Analytics Metadata Data Warehouse 98

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

AWS Big Data

APRIL 20, 2023

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. AWS Glue provides an extensible architecture that enables users with different data processing use cases, and works well with Amazon Redshift.

Visualization 80

Visualization Data Warehouse Big Data Data Lake 80

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users.

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

AWS Big Data

MARCH 3, 2023

We use an example use case where the EMR Serverless job runs every hour, and the input data folder is partitioned on an hourly basis from AWS DMS. You could use this high-level architecture for any other use cases where you need to use the latest version of Spark on EMR Serverless.

Data Lake 85

Data Lake Dashboards Metrics Metadata 85

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 93

Data Lake Data Warehouse Data-driven B2B 93