CIO Business Intelligence

MAY 16, 2022

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. The concept of the edge is not new, but its role in driving data-first business is just now emerging.

IoT 79

IoT Data Warehouse Internet of Things Machine Learning 79

AWS Big Data

MARCH 2, 2023

There is an increased need for data lakes to support database like features such as ACID transactions, record-level updates and deletes, time travel, and rollback. Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. The snapshot points to the manifest list.

Data Lake 116

Data Lake Data Processing Metadata Snapshot 116

Alation

JULY 28, 2022

It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. He works backward from customer’s use cases and designs data solutions to solve their business problems.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. Iceberg basics Iceberg is an open table format designed for large analytic workloads.

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79

AWS Big Data

JANUARY 17, 2024

Transaction data lake use case Amazon EMR customers often use Open Table Formats to support their ACID transaction and time travel needs in a data lake. Another popular transaction data lake use case is incremental query. The following are some highlighted steps: Run a snapshot query. %%sql

Data Lake 92

Data Lake Snapshot Big Data Data-driven 92

Cloudera

FEBRUARY 8, 2024

Cloudera Data Warehouse (CDW) running Hive has previously supported creating materialized views against Hive ACID source tables. release and the matching CDW Private Cloud Data Services release, Hive also supports creating, using, and rebuilding materialized views for Iceberg table format.

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

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 100

Data Warehouse Analytics Snapshot Cost-Benefit 100

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

IBM Big Data Hub

APRIL 8, 2024

In this session:   IBM and AWS discussed the benefits and features of this new fully managed offering spanning availability, security, backups, migration and more. Can Amazon RDS for Db2 be used for running data warehousing workloads? At what level are snapshot-based backups taken?   13.

Snapshot 76

Snapshot Data Warehouse Data Processing Management 76

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

CIO Business Intelligence

JANUARY 20, 2023

The term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data. Benefits of BI BI helps business decision-makers get the information they need to make informed decisions.

Business Intelligence 139

Business Intelligence Dashboards Data mining OLAP 139

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. It also logs details about the rolled back or undo transactions.

Metrics 84

Metrics Statistics Data Warehouse Cost-Benefit 84

Cloudera

MAY 13, 2021

Suggesting workloads that should move to public cloud and understanding the public cloud costs. 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. Maintain SLA.

Management 69

Management Data Warehouse Interactive Reporting 69

Corinium

APRIL 25, 2019

Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. It definitely depends on the type of data, no one method is always better than the other. That’s the reward.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

Sisense

APRIL 7, 2020

In addition, this data lives in so many places that it can be hard to derive meaningful insights from it all. This is where analytics and data platforms come in: these systems, especially cloud-native Sisense, pull in data from wherever it’s stored ( Google BigQuery data warehouse , Snowflake , Redshift , etc.).

Big Data 86

Big Data Data Warehouse Cost-Benefit Snapshot 86

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. Fixed-size data files avoid further latency due to unbound file sizes.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 77

Data Lake Data Analytics Analytics Data Processing 77

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. Profit and Loss with Trend Analysis.

Reporting 52

Reporting Metrics Dashboards Sales 52

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. These types of queries are suited for a data warehouse.

Data Warehouse 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes. Because of its distributed nature, Presto scales for petabytes and exabytes of data. It lands as raw data in HDFS.

OLAP 92

OLAP Data Lake Data-driven Snapshot 92

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 65

Data Lake Data Governance Data Warehouse Modeling 65

Jet Global

MAY 4, 2022

That brings tremendous benefits for small and midsize businesses, but it also leads to increased challenges arising from the inherent complexity of the underlying data. There is yet another problem with manual processes: the resulting reports only reflect a snapshot in time.

Reporting 52

Reporting Finance Software Consulting 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. Oracle Hyperion and Oracle PBCS are valued for their robust capabilities, for example, but those typically come at a high cost.

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

JULY 24, 2023

While they typically emphasize the benefits of the cloud for their clients, they understand the advantages for themselves as well. Most companies say that the added costs of the cloud are offset by other savings, such as eliminating hardware and data center expenses. Still, the disparity in price remains a hurdle for customers.

Reporting 52

Reporting Operational Reporting Data Warehouse Enterprise 52