AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 91

Management Data Warehouse Metrics Dashboards 91

CIO Business Intelligence

DECEMBER 13, 2023

An example of that is a data warehouse in Azure we brought in and offer as a service. All they have to do is map their data and upload it, and then new data is refueled overnight so they can get new analytics out.” Then they let one of the company’s business areas test it by asking any question. “We

IT 104

IT Unstructured Data Cost-Benefit Data Warehouse 104

AWS Big Data

AUGUST 31, 2023

Data warehousing provides a business with several benefits such as advanced business intelligence and data consistency. Hence, automatic notifications are more often required in order to accelerate data ingestion, facilitate monitoring and provide accurate tracking about the process.

Data Warehouse 79

Data Warehouse Data-driven Testing Business Intelligence 79

Alation

FEBRUARY 7, 2023

There was a software product demo showcasing its ability to scan every layer of your application code, and I was intrigued to see how it worked. It wouldn’t be until 2013 that the topic of data lineage would surface again – this time while working on a data warehouse project. Twenty years ago, I saw into the future.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. BI INTELLIGENCE (from google). Data Warehouse.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Jet Global

OCTOBER 7, 2020

Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities. The Data Entity Store is an internal data warehouse that is only available to embedded Power BI reports (not the full version of Power BI).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Jet Global

APRIL 10, 2019

Jet Analytics is a business intelligence and reporting solution with pre-built data warehouse and OLAP cubes for Dynamics GP. Multi Data Source Consolidation. Data Warehouse and OLAP Cubes. GET A DEMO OF JET REPORTS. READ FULL CUSTOMER STORY. Option 3: Jet Analytics. Management Reporter.

Reporting 75

Reporting Management OLAP Data Warehouse 75

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Request your own demo of erwin DI. The post Do I Need a Data Catalog?

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Jet Global

DECEMBER 2, 2019

If you’re stumbling across this post through the sea of results researching “business intelligence vs. reporting,” then maybe you’re already familiar with the unlimited interpretations and definitions of these two practices. in “business intelligence vs. reporting” is a bit misleading. Learn More Now. Conceptually.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Jet Global

JANUARY 15, 2020

Roadblocks to Financial Intelligence. Business intelligence tools have become software staples for many companies as they hone their financial reporting to build financial intelligence. The ability to explore, visualize, and share business data has given organizations a foundation for better and faster decisions.

IT 59

IT Finance Reporting Data-driven 59

Alation

DECEMBER 21, 2022

Transactional systems and data warehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management. Helping to ensure the quality of the data before trying to master it. Get the latest data cataloging news and trends in your inbox.

Management 52

Management Data Quality Metadata Testing 52

Cloudera

MARCH 2, 2022

This memory efficiency and performance optimization, as well as many others in Impala, is what makes it the preferred choice for business intelligence and analytics workloads, especially at scale. A recent benchmark by a third party shows how Cloudera has the best price-performance on the cloud data warehouse market.

Data Warehouse 85

Data Warehouse Optimization Analytics Sales 85

Jet Global

APRIL 19, 2021

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

InsightOut

AUGUST 6, 2021

For example, InsightOut offers Data Consolidation solutions that empower companies to leverage multiple data streams to create aggregated data flows from disparate data sources. It empowers business leaders and opens their eyes to not only what is but to what can be.

Visualization 52

Visualization Software Testing Data Warehouse 52

FineReport

MAY 31, 2023

Furthermore, we will introduce some business intelligence solution that excels in simplifying the process of creating and utilizing a financial dashboard effectively. Finance and accounting teams often deal with data residing in multiple systems, such as accounting software, ERP systems, spreadsheets, and data warehouses.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Jet Global

JULY 11, 2019

Although it’s been around for decades, predictive analytics is becoming more and more mainstream, with growing volumes of data and readily accessible software ripe for transforming. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Ms SQL Girl

FEBRUARY 3, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. In this module, attendees will learn top tips and tricks of acquiring and preparing data for Power View and Pivot Tables/Charts.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. In this module, attendees will learn top tips and tricks of acquiring and preparing data for Power View and Pivot Tables/Charts.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. In this module, attendees will learn top tips and tricks of acquiring and preparing data for Power View and Pivot Tables/Charts.

Dashboards 40

Dashboards Visualization Interactive KPI 40

Ms SQL Girl

MARCH 30, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. In this module, attendees will learn top tips and tricks of acquiring and preparing data for Power View and Pivot Tables/Charts.

Dashboards 40

Dashboards Visualization Interactive KPI 40

Alation

SEPTEMBER 7, 2021

With Snowflake, data stewards have a choice to leverage Snowflake’s governance policies. First, stewards are dependent on data warehouse admins to provide information and to create and edit enforcement policies in Snowflake. Data quality details signal to users whether data can be trusted or used.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

AWS Big Data

MARCH 18, 2024

Load generic address data to Amazon Redshift Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Redshift Serverless makes it straightforward to run analytics workloads of any size without having to manage data warehouse infrastructure. shapes.geoid as census_group_shape ,demo.*

Data Warehouse 78

Data Warehouse Visualization Snapshot Data-driven 78

Jet Global

OCTOBER 1, 2019

Although it’s been around for decades, predictive analytics is becoming more and more mainstream, with growing volumes of data and readily accessible software ripe for transforming. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift.

Data Warehouse 59

Data Warehouse Analytics Testing Cost-Benefit 59

IBM Big Data Hub

APRIL 8, 2024

AWS ran a live demo to show how to get started in just a few clicks. Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS  Amazon RDS for Db2 supports single-node transactional, mixed and analytics workloads.    Scalability 5.

Snapshot 79

Snapshot Data Warehouse Data Processing Management 79

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 66

Data Warehouse Cost-Benefit KPI Risk 66

FineReport

APRIL 21, 2024

From addressing implementation challenges to conducting a comparative analysis of leading options, we delve into how embedded BI tools empower organizations to make informed decisions and drive business intelligence initiatives with unprecedented efficiency and precision. What Are Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

FineReport

DECEMBER 27, 2021

Modern enterprise business intelligence (BI) tools and practices enable quick decision making. Indeed, Early action on insights allows businesses to identify internal trends and improve inefficiencies. Furthermore, It is important to note that the advantages of business intelligence vary by industry and application.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

Cloudera

FEBRUARY 8, 2024

Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP). Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. Starting from the CDW Public Cloud DWX-1.6.1

Snapshot 87

Snapshot Metadata Cost-Benefit Data Warehouse 87

Jet Global

JANUARY 5, 2021

The investments you make in reporting and business intelligence tools today can provide added value to your current AX system and pave the way for a smoother, less expensive migration process down the road. Business leaders should be clear about the risks before going ahead with a full-stack Power BI implementation.

Reporting 98

Reporting Data Warehouse Finance Cost-Benefit 98

Jet Global

MAY 27, 2022

Synapse services serve the purpose of merging data integration, warehousing, and big data analysis together with the goal of gaining a unified experience to ingest, prepare, manage, and serve data for business intelligence needs. How Synapse works with Data Lakes and Warehouses. Book A Demo.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

IBM Big Data Hub

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

OLAP 65

OLAP Slice and Dice Cost-Benefit Data Warehouse 65