AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance.

Snapshot 86

Snapshot Data Lake Testing Strategy 86

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? from 2022 to 2026. Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics. All of this supports the use of AI.

Data Lake 82

Data Lake Metadata Cost-Benefit Data Warehouse 82

Cloudera

DECEMBER 16, 2022

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Notably, these same services simplify repatriating data workloads back to private clouds, to save on cloud infrastructure expenses. 2-A truly open data lakehouse.

Management 88

Management Metadata Machine Learning Data Lake 88

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 80

Cost-Benefit Metadata Data Governance Modeling 80

Cloudera

APRIL 3, 2023

The new feature this blog post is aiming to discuss about Iceberg V2 format (version 2), as the Iceberg table specification explains, the V1 format aimed to support large analytic data tables, while V2 aimed to add row level deletes and updates. CDW also simplifies administration by making multi-tenancy secure and manageable.

Data Warehouse 78

Data Warehouse Snapshot Metadata Cost-Benefit 78

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 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Cloudera

SEPTEMBER 9, 2022

This is the promise of the modern data lakehouse architecture. analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.”

Metadata 96

Metadata Machine Learning Unstructured Data Data Lake 96

Cloudera

AUGUST 4, 2021

A top-notch system will include an easy-to-navigate data catalog that provides a single-pane view to administer and discover all data assets. The data is profiled and enhanced with rich metadata—including operational, social, and business context—creating trusted and reusable data assets and making them discoverable.

Data Governance 82

Data Governance Metadata Data-driven Enterprise 82

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes.

Data Lake 85

Data Lake Dashboards Metrics Metadata 85

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. In 2022 , we talked about the enhancements we had done to these services.

Data Lake 93

Data Lake Metadata Data Governance Statistics 93

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

Data Lake 106

Data Lake Management Metrics Data Warehouse 106

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 83

Data Lake Manufacturing Metadata Dashboards 83

AWS Big Data

MAY 1, 2024

To provide a variety of products, services, and solutions that are better suited to customers and society in each region, we have built business processes and systems that are optimized for each region and its market. The platform consists of approximately 370 dashboards, 360 tables registered in the data catalog, and 40 linked systems.

Dashboards 113

Dashboards Data-driven Publishing Cost-Benefit 113

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92

Jet Global

SEPTEMBER 19, 2023

In fact, a recent Gartner report on cloud expenditure found that cross-industry cloud spend has risen from 8% as a percentage of total IT spend in 2018 to 16% in 2022. What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52