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, you can bring together the transactional data of Aurora with the analytics capabilities of Amazon Redshift.

Data Warehouse 83

Data Warehouse Analytics Metrics Dashboards 83

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 84

Metrics Statistics Data Warehouse Cost-Benefit 84

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 64

Testing Data Warehouse Data Processing Snapshot 64

AWS Big Data

MARCH 25, 2024

This data usually comes from third parties, and developers need to find a way to ingest this data and process the data changes as they happen. Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Analysts can use SQL as a more powerful tool than Salesforce to model messy sales data.

Sales 91

Sales Forecasting Snapshot Management 91

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. Both services provide reliable data storage, but some customers want replicated storage, catalog, and permissions for compliance purposes.

Data Architecture 64

Data Architecture Metadata Data Lake Snapshot 64

AWS Big Data

JANUARY 8, 2024

The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases. It aims to provide a framework to create low-latency streaming applications on the AWS Cloud using Amazon Kinesis Data Streams and AWS purpose-built data analytics services.

Analytics 111

Analytics IoT Data-driven Snapshot 111

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. Working capital serves as a metric that evaluates a company’s liquidity, operational efficiency, and short-term financial well-being.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

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

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 67

Modeling Sales Data Warehouse Snapshot 67

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. The response times for these data sources are critical to our key stakeholders.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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. The report breaks down sales by location and product.

Reporting 52

Reporting Metrics Dashboards Sales 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. Self-serve data (no burden on IT).

Management 70

Management Data Warehouse Interactive Reporting 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. Each component runs independently to solve a portion of the operational data processing use case.

Data Lake 90

Data Lake Data Processing Metadata Snapshot 90

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. Download Now.

Reporting 52

Reporting Sales Dashboards Metrics 52

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. We built DE with an API centric approach to streamline data pipeline automation to any analytic workflow downstream.

Visualization 103

Visualization Metrics Statistics Optimization 103

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. track model metrics, performance, and any model artifacts the user specifies. let the user document, test, and share the model.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

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. Supported integrations – Does­ the table format integrate seamlessly with your data environment?

Data Lake 113

Data Lake Metadata Optimization Statistics 113

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. The next phase of Tricentis’ journey is to unlock insights across all testing tools.

Software 52

Software Data Lake Testing Cost-Benefit 52

Corinium

APRIL 25, 2019

The last 10+ years or so have seen Insurance become as data-driven as any vertical industry. 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. Must I pick just one? ??

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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 82

Machine Learning Metrics Management Big Data 82

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80

IBM Big Data Hub

APRIL 8, 2024

Answer : Along with standard RDS features, Amazon RDS for Db2 supports key Db2 features, such as row and column organized tables for mixed and analytic workloads, the Adaptive Workload Optimizer to for better resource management, and rules-based access controls for advanced data protection.   Scalability 5.

Snapshot 77

Snapshot Data Warehouse Data Processing Management 77

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. Challenge 2. Slow, Manual Processes.

Reporting 52

Reporting Finance Software Consulting 52

Jet Global

MAY 24, 2022

Companies are generating more data than ever before, and it’s falling on the finance team to make sense of the meaning behind all those numbers. However, there is a downside; each system, operating independently, constitutes a data silo. Data silos require a lot of extra work. Telling the Story Behind the Numbers.

Finance 52

Finance Reporting Sales Software 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). So I emailed my friend David. : ). Here's David. __.

Analytics 135

Analytics Marketing Measurement Metrics 135

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. 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

IBM Big Data Hub

SEPTEMBER 25, 2023

The magic behind Uber’s data-driven success Uber, the ride-hailing giant, is a household name worldwide. But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse.

OLAP 94

OLAP Data Lake Data-driven Snapshot 94

Alation

AUGUST 26, 2021

Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data? Why do we have data?

Metadata 64

Metadata Data Governance Dashboards Software 64