AWS Big Data

FEBRUARY 12, 2024

About Redshift and some relevant features for the use case Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that offers simple operations and high performance. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

Data Warehouse 98

Data Warehouse Analytics Snapshot Cost-Benefit 98

IBM Big Data Hub

APRIL 8, 2024

Can Amazon RDS for Db2 be used for running data warehousing workloads? Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS At what level are snapshot-based backups taken?  Also, you can take manual snapshots as needed. 

Snapshot 76

Snapshot Data Warehouse Data Processing Management 76

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Open the workgroup you want to monitor.

Metrics 78

Metrics Data Warehouse Dashboards Snapshot 78

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse. or higher version) database.

Data Warehouse 83

Data Warehouse Analytics Metrics Dashboards 83

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 86

Data Warehouse Metrics Optimization Statistics 86

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. Take a snapshot of the source Redshift data warehouse.

Testing 64

Testing Data Warehouse Data Processing Snapshot 64

AWS Big Data

OCTOBER 24, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud, providing up to five times better price-performance than any other cloud data warehouse, with performance innovation out of the box at no additional cost to you. The following table summarizes these metrics.

Metrics 83

Metrics Statistics Data Warehouse Cost-Benefit 83

AWS Big Data

JANUARY 24, 2023

It contains references to data that is used as sources and targets in AWS Glue ETL (extract, transform, and load) jobs, and stores information about the location, schema, and runtime metrics of your data. The Data Catalog organizes this information in the form of metadata tables and databases.

Data Architecture 65

Data Architecture Metadata Data Lake Snapshot 65

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 68

Modeling Sales Data Warehouse Snapshot 68

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. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

AWS Big Data

FEBRUARY 1, 2023

We chose DynamoDB as our metadata store, which provides the latest details to the consumers to query the data effectively. Every dataset in our system is uniquely identified by snapshot ID, which we can search from our metadata store. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Cloudera

MAY 13, 2021

Performance metrics appear in charts and graphs. . In this blog, we walk through the Impala workloads analysis in iEDH, Cloudera’s own Enterprise Data Warehouse (EDW) implementation on CDH clusters. We compare the current run of a job to a baseline derived from performance metrics. Data Engineering jobs (optional).

Management 68

Management Data Warehouse Interactive Reporting 68

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Table data storage mode – There are two options: Historical – This table in the data lake stores historical updates to records (always append).

Data Lake 89

Data Lake Data Processing Metadata Snapshot 89

Sisense

JANUARY 6, 2020

Analysts can use SQL as a more powerful tool than Salesforce to model messy sales data. By applying complex logic, you can more seamlessly build data models and gain fast, more advanced analysis. To achieve this, first requires getting the data into a form that delivers insights. Daily snapshot of opportunities – a summary.

Sales 91

Sales Forecasting Snapshot Management 91

FineReport

NOVEMBER 25, 2020

Dashboard reporting refers to putting the relevant business metrics and KPIs in one interface, presenting them visually, dynamic, and in real-time, in the dashboard formats. With the advent of modern dashboard reporting tools, you can conveniently visualize your data into dashboards and reports and extract insightful information from it.

Dashboards 98

Dashboards Reporting Visualization Snapshot 98

Jet Global

JULY 30, 2021

Enterprise Performance Management (EPM) gives C-level executives and others throughout your organization a vivid, up-to-the-minute picture of key business metrics. Decision makers regularly have to wait for performance metrics that they should track on a daily basis. EPM reporting templates offer the perfect solution.

Reporting 52

Reporting Metrics Dashboards Sales 52

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Cloudera

SEPTEMBER 17, 2020

Because DE is fully integrated with the Cloudera Shared Data Experience (SDX), every stakeholder across your business gains end-to-end operational visibility, with comprehensive security and governance throughout. For starters it lacks metrics around cpu, memory utilization that are easily correlated across the lifetime of the job.

Visualization 101

Visualization Metrics Statistics Optimization 101

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. Clustering data for better data colocation using z-ordering.

Data Lake 111

Data Lake Metadata Optimization Statistics 111

AWS Big Data

MAY 19, 2023

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more.

Machine Learning 81

Machine Learning Metrics Management Big Data 81

AWS Big Data

MARCH 3, 2023

With fast and fine-grained scaling in EMR Serverless, if a pipeline runs daily and needs to process 1 GB of data one day and 100 GB of data another day, EMR Serverless automatically scales to handle that load. Monitoring – EMR Serverless sends metrics to Amazon CloudWatch at the application and job level every 1 minute.

Data Lake 81

Data Lake Dashboards Metrics Metadata 81

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Ricardo Serafim is a Senior AWS Data Lab Solutions Architect.

Software 52

Software Data Lake Testing Cost-Benefit 52

Occam's Razor

APRIL 5, 2010

Take a snapshot of your customer database for the past 2 years and it may look like this: That is an average. For some of your campaigns this data might not be easily available in your web analytics tool (it is also quite likely you are doing all of this analysis in Excel). Optimizing acquisition channels with LTV. Look 'em up.

Analytics 135

Analytics Marketing Measurement Metrics 135

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 101

Data Lake Management Metrics Data Warehouse 101

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. For traditional analytics, they are bringing data discipline to their use of Presto. It lands as raw data in HDFS.

OLAP 93

OLAP Data Lake Data-driven Snapshot 93

Alation

AUGUST 26, 2021

BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. Why does the business want to leverage data intelligence? The business is migrating data to a cloud-data warehouse.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MAY 4, 2022

You’ll learn how leading finance teams apply technology to the task of producing fast, accurate reports, eliminating tedious manual effort, giving managers visibility to real-time organizational metrics, and instilling confidence in stakeholders throughout the company. Challenge 1. ERP Complexity.

Reporting 52

Reporting Finance Software Consulting 52

Jet Global

NOVEMBER 14, 2022

Enterprise Performance Management (EPM) provides users throughout your company with vivid, up-to-the-minute details about the key metrics that drive your organization’s success. This creates an opportunity-cost when decision makers have to wait for the reports they’ll be using to track performance metrics.

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

MAY 24, 2022

All of that in-between work–the export, the consolidation, and the cleanup–means that analysts are stuck using a snapshot of the data. Executives need to know how the organization is performing relative to key metrics, and how certain external factors may impact revenue product demand, profitability, supply chain performance, and more.

Finance 52

Finance Reporting Sales Software 52