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 86

Data Warehouse Analytics Metrics Dashboards 86

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 89

Data Warehouse Metrics Statistics Optimization 89

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 67

Data Architecture Metadata Data Lake Snapshot 67

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 70

Modeling Sales Data Warehouse Snapshot 70

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. For example, to create source-aligned datasets in the data lake for 3,000 operational tables, the company didn’t want to deploy 3,000 separate data processing jobs.

Data Lake 92

Data Lake Data Processing Metadata Snapshot 92

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 might find the root cause by realizing that a problem recurs at a particular time, or coincides with another event. .

Management 74

Management Data Warehouse Interactive Reporting 74

AWS Big Data

FEBRUARY 1, 2023

S3 bucket as landing zone We used an S3 bucket as the immediate landing zone of the extracted data, which is further processed and optimized. Lambda as AWS Glue ETL Trigger We enabled S3 event notifications on the S3 bucket to trigger Lambda, which further partitions our data. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

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 114

Data Lake Metadata Optimization Statistics 114

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 105

Visualization Metrics Statistics Optimization 105

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 83

Machine Learning Metrics Big Data Management 83

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. Today, modern organizations use AI to glean competitive insights, pulling nuggets of wisdom from a river of data.

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