AWS Big Data

APRIL 27, 2023

It supports modern analytical data lake operations such as create table as select (CTAS), upsert and merge, and time travel queries. Athena also supports the ability to create views and perform VACUUM (snapshot expiration) on Apache Iceberg tables to optimize storage and performance.

Data Lake 72

Data Lake Snapshot Optimization Data Transformation 72

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

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. BI aims to deliver straightforward snapshots of the current state of affairs to business managers.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

O'Reilly on Data

OCTOBER 19, 2021

Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. Data Science Layers. Enter the software development layers. Versioning.

IT 353

IT Testing Experimentation Software 353

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

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

Cloudera

MAY 13, 2021

In this blog, we walk through the Impala workloads analysis in iEDH, Cloudera’s own Enterprise Data Warehouse (EDW) implementation on CDH clusters. After moving to CDP, take a snapshot to use as a CDP baseline. Self-serve data (no burden on IT). Data Engineering jobs (optional). Data Engineering jobs (optional).

Management 73

Management Data Warehouse Interactive Reporting 73

Jet Global

JULY 30, 2021

Whether it is a sales performance dashboard, a snapshot of A/R collections, a trends analysis dashboard, a marketing performance app, or a variance-to-Year 12-month view report, EPM reporting can be a powerful tool in helping your organization meet its objectives. Step 6: Drill into the Data. Step 2: Choose Reporting Templates.

Reporting 52

Reporting Metrics Dashboards Sales 52

AWS Big Data

MARCH 3, 2023

Any time new test cases or test results are created or modified, events trigger such that processing is immediate and new snapshot files are available via an API or data is pulled at the refresh frequency of the reporting or business intelligence (BI) tool. Ricardo Serafim is a Senior AWS Data Lab Solutions Architect.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

SEPTEMBER 17, 2020

For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. The admin overview page provides a snapshot of all the workloads across multi-cloud environments.

Visualization 104

Visualization Metrics Statistics Optimization 104

AWS Big Data

AUGUST 16, 2023

If the source is tabular format, then there are mechanisms to identify the data changes easily. However, the complexity increases if the data is in semi-structured format and propagating changes made to source data into the data lake in near-real-time. Iceberg tables provide the capability of time travel.

Data Lake 70

Data Lake Metadata Testing Snapshot 70

AWS Big Data

JUNE 10, 2024

Expire snapshots Each write to an Iceberg table creates a new snapshot , or version, of a table. Snapshots can be used for time-travel queries, or the table can be rolled back to any valid snapshot. This action might take a long time to complete if there are a large number of files in the data and metadata directories.

Data Lake 107

Data Lake Metadata Snapshot Analytics 107

AWS Big Data

JUNE 21, 2023

These types of queries are suited for a data warehouse. The goal of a data warehouse is to enable businesses to analyze their data fast; this is important because it means they are able to gain valuable insights in a timely manner. Amazon Redshift is fully managed, scalable, cloud data warehouse.

Data Warehouse 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

AWS Big Data

MARCH 3, 2023

split(";") # Exit if length of table names and partition keys are different to ensure data is provided for all tables. if partition key is not present enter empty semicolon - T1_PK;;T3PK") sys.exit(0) i = 0 while i < len(tables): table = tables[i] partition_key = partition_keys[i].split(",") if len(tables)!=len(partition_keys):

Data Lake 81

Data Lake Dashboards Metrics Metadata 81

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 87

OLAP Data Lake Data-driven Snapshot 87

AWS Big Data

JULY 28, 2023

Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service delivering the best price-performance. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools.

Data Lake 66

Data Lake Data Governance Data Warehouse Modeling 66

Jet Global

SEPTEMBER 7, 2023

A crucial part of CFOs’ jobs is presenting data to others. When summarizing or presenting numeric figures, that is especially true. Instead of poring over reams of columnar data, users can intuitively grasp what is happening in the business with just a glance. Use visualizations.

Finance 52

Finance Reporting Software Snapshot 52

Jet Global

NOVEMBER 3, 2022

When summarizing or presenting numeric figures, that is especially true. Instead of poring over reams of columnar data, users can intuitively grasp what is happening in the business with just a glance. The reports created within static spreadsheets are based on a snapshot of reality, taken the moment the data was exported from ERP.

Finance 52

Finance Reporting Sales Dashboards 52

Jet Global

NOVEMBER 7, 2023

Add in the de facto requirement to combine all your reporting data and it presents quite a challenge. As more companies move their data into the cloud, methods for storing and managing that data also adapt and grow. This growth is caused, in part, by the increasing use of cloud platforms for data storage and processing.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

NOVEMBER 14, 2022

That might be a sales performance dashboard for your Chief Revenue Officer, a snapshot of “days sales outstanding” (DSO) for the A/R collections team, or an item sales trend analysis for product management. In this case, KPIs are presented from a different perspective. Step 6: Drill Into the Data. KPIs Overview.

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

JULY 24, 2023

Here are the burdens facing your team with on-premises ERP solutions: Too complex: ERP data models are complex and difficult to integrate with other ERPs, BI tools, and cloud data warehouses. Changes made to a data model often require technical support including, but not limited to, a forced reboot of connected applications.

Reporting 52

Reporting Operational Reporting Data Warehouse Enterprise 52

Jet Global

MAY 25, 2022

What’s even worse is that these kinds of errors are often overlooked until after an erroneous report has been presented to management or published to an external audience. Every time you do an export from your ERP system, you’re taking a snapshot of the data that only reflects a single moment in time.

Reporting 52

Reporting Finance Software Snapshot 52

Jet Global

MAY 24, 2022

However, there is a downside; each system, operating independently, constitutes a data silo. When finance wants to pull all of that information together for analysis, it presents some major challenges. All of that in-between work–the export, the consolidation, and the cleanup–means that analysts are stuck using a snapshot of the data.

Finance 52

Finance Reporting Sales Software 52