AWS Big Data

JULY 27, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift RA3 with managed storage is the newest instance type for Provisioned clusters.

Testing 67

Testing Data Warehouse Data Processing Snapshot 67

AWS Big Data

MARCH 10, 2023

One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

AWS Big Data

NOVEMBER 10, 2023

This integration expands the possibilities for AWS analytics and machine learning (ML) solutions, making the data warehouse accessible to a broader range of applications. Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency.

Data Processing 95

Data Processing Data Lake Data Warehouse Optimization 95

CIO Business Intelligence

JANUARY 20, 2023

Improved employee satisfaction: Providing business users access to data without having to contact analysts or IT can reduce friction, increase productivity, and facilitate faster results. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 136

Business Intelligence Dashboards Data mining OLAP 136

AWS Big Data

MARCH 2, 2023

Whenever there is an update to the Iceberg table, a new snapshot of the table is created, and the metadata pointer points to the current table metadata file. At the top of the hierarchy is the metadata file, which stores information about the table’s schema, partition information, and snapshots. Carry out performance tuning.

Data Lake 120

Data Lake Data Processing Metadata Snapshot 120

IBM Big Data Hub

SEPTEMBER 25, 2023

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. Automation enabled Uber to grow to their current state with more than 256 petabytes of data, 3,000 nodes and 12 clusters.

OLAP 88

OLAP Data Lake Data-driven Snapshot 88

CIO Business Intelligence

MAY 16, 2022

The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses. How edge refines data strategy. From there, other best practices emerge: Heighten the focus on security and governance.

IoT 75

IoT Data Warehouse Internet of Things Machine Learning 75

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis.

Data Lake 73

Data Lake Testing Snapshot Sales 73

AWS Big Data

AUGUST 16, 2023

Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Time travel Time travel queries in Athena query Amazon S3 for historical data from a consistent snapshot as of a specified date and time.

Data Lake 74

Data Lake Metadata Testing Snapshot 74

FineReport

MAY 31, 2023

Financial Dashboard Examples Note: All the financial dashboard examples shown in this article are created by FineReport , a powerful dashboard software that has been honorably mentioned by Magic Quadrant for ABI Platforms in 2023. You can download FineReport for free and have a try! Free Download of FineReport 1.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52