Cloudera

SEPTEMBER 24, 2020

Some of the most powerful results come from combining complementary superpowers, and the “dynamic duo” of Apache Hive LLAP and Apache Impala, both included in Cloudera Data Warehouse , is further evidence of this. Both Impala and Hive can operate at an unprecedented and massive scale, with many petabytes of data.

Data Warehouse 68

Data Warehouse Metadata Interactive Dashboards 68

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. For Matthieu G., George H., Roshan H.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

CDW Research Hub

MARCH 22, 2019

the Salesforce application lets both headquarters and franchisees run business reports directly,” explained Sirius Big Data Business and Analytics Practice Director Chad Knutson. empowering franchisees to use data for business decision-making, and. empowering franchisees to use data for business decision-making, and.

Data Warehouse 66

Data Warehouse Prescriptive Analytics Statistics Big Data 66

FineReport

SEPTEMBER 3, 2020

For most companies, using Excel to create reports is the most common reporting solution. However, with the growing amount of data from many sources, the pain points of using Excel are more and more apparent. For example, data collection is time-consuming, and the data from scattered business systems can not be integrated.

Reporting 95

Reporting Dashboards Visualization Data Warehouse 95

AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. This will be your OLTP data store for transactional data. version cluster. version cluster.

Data Warehouse 121

Data Warehouse Dashboards Risk Management Risk 121

FineReport

FEBRUARY 12, 2020

The design of reports can be considered from two aspects: layout and system. You may have seen many articles emphasize how to improve the layout of the report. Today, let’s learn the report designing from the perspective of the report system. The Basics of Report Designing . The Basics of Report Designing .

Reporting 98

Reporting Metrics ROI Software 98

FineReport

DECEMBER 25, 2019

Reports are the basic business requirements of an enterprise. It can help enterprises make better use of data if different data can be presented by appropriate reports. Top 10 Types of Report. Detail Report. Top 10 Types of Report. Detail Report. Group Report. Split Report.

Reporting 98

Reporting Metrics ROI KPI 98

FineReport

MARCH 21, 2020

Do you have the same problem with daily, weekly, or monthly reports? I summarized the problems typical with many daily, weekly, and monthly reports I have these years. . The process of data collection is time-consuming. Usually, the data is stored in Excel. Many report styles in the company are the same.

Reporting 91

Reporting Data Warehouse Manufacturing Enterprise 91

FineReport

JULY 1, 2021

If you have never heard of BI, I suggest you read these two articles, one on BI and analytics and one on BI reporting , to build your background knowledge. BI technology is a series of technologies that can handle a large amount of structured and sometimes unstructured data. Data warehouse. Data querying & discovery.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

Laminar Security

APRIL 18, 2023

Laminar’s recent announcement of new features for its cloud-native Data Security Posture Management (DSPM) platform is a step towards meeting this challenge head-on. Laminar has become the first cloud-native DSPM solution to meet stringent and demanding enterprise requirements.

Enterprise 52

Enterprise Management Dashboards Snapshot 52

DataKitchen

AUGUST 19, 2021

Data mesh and DataOps provide the organization, enterprise architecture, and workflow automation that together enable a relatively small data team to address the analytics needs of hundreds of active business users. Figure 1: Data requirements for phases of the drug product lifecycle. The new Recipes run, and BOOM!

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

Jet Global

APRIL 2, 2019

Artificial Intelligence is coming for the enterprise. Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. The road to AI supremacy in enterprise business starts with investment in an area most businesses might not think to look at first.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. The email is formatted via HTML output that provides tables for the aggregated job run data.

Reporting 68

Reporting Metrics Optimization Data Lake 68

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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 93

Management Data Warehouse Metrics Dashboards 93

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. By taking advantage of data, enterprises can shape business decisions, minimize risk for stakeholders, and gain competitive advantage.

Data-driven 59

Data-driven Enterprise Data Governance Data Lake 59

CIO Business Intelligence

OCTOBER 17, 2023

NetSuite, an Oracle subsidiary, is a SaaS -based ERP provider offering a suite of applications that work together, reside on a common database, and are designed to automate core enterprise business processes. The company has added a new set of capabilities under the umbrella of NetSuite Enterprise Performance Management (EPM).

IT 131

IT Finance Sales Enterprise 131

Cloudera

SEPTEMBER 17, 2018

However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. Consider the following: More data types to be queried, but increasingly the data resides in separate silos.

Data Warehouse 52

Data Warehouse Optimization Visualization Unstructured Data 52

IBM Big Data Hub

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. What can enterprises do different from what they are already doing today?

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

Jet Global

JANUARY 6, 2020

Wes Gillette, VP of Product Management, insightsoftware discusses the problems most Finance professionals face with ERP financial reporting. While there’s no question that BI provides powerful and intuitive graphical analysis that serves most departments well, there is an exception: financial reporting. The Search for Real-time Data.

Consulting 64

Consulting Reporting Finance Data Warehouse 64

Jet Global

AUGUST 14, 2019

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

CIO Business Intelligence

OCTOBER 26, 2023

This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization. Other senior positions may require an MBA, but there are plenty of BI jobs that require only an undergraduate degree.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Smart Data Collective

MAY 16, 2022

Data management systems provide a systematic approach to information storage and retrieval and help in streamlining the process of data collection, analysis, reporting, and dissemination. It also helps in providing visibility to data and thus enables the users to make informed decisions.

Management 128

Management Data mining Data Warehouse Data Collection 128

Ontotext

MARCH 8, 2023

Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Each team and system need to keep diverse sets of data about their customers in order to play their specific role – inadvertently leading to siloed experiences.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Cloudera

OCTOBER 4, 2023

Ability to handle complex analytic queries — especially when we’re using real-time analytics to augment existing business dashboards and reports with large, complex, long-running business intelligence queries typical for those use cases, and not having the real-time dimension slow these down in any way. Kudu has this covered.

Data Warehouse 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

CIO Business Intelligence

MARCH 22, 2024

IBM said it would move to Rise in May 2022 while Microsoft gave a progress report on its own Rise migration in March that year. That’s just as well because despite Deutsche Telekom’s previous work on standardization, not all the applications it is moving to Rise are currently running on S/4HANA. Some of them are still running on ECC 6.0,

Data Processing 105

Data Processing Data Warehouse Management Software 105

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. Flat files – Other systems supply data in the form of flat files of different formats.

Data Warehouse 102

Data Warehouse Testing Data Quality Reporting 102

Jet Global

NOVEMBER 5, 2020

Ostensibly, the new product represents Microsoft’s transition to a newer, more cloud-friendly ERP for midsized enterprises. Reporting will change in D365 F&SCM, and those changes could significantly increase complexity and total cost of ownership. That works reasonably well for traditional reporting functions.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data.

Data Warehouse 90

Data Warehouse Machine Learning Visualization Data Lake 90

IBM Big Data Hub

JUNE 3, 2019

According to a recent IDC report , 79 percent of enterprises are currently investing in a hybrid cloud environment or have planned to invest in towards one in the next twelve months. More businesses are looking to do this by adopting public cloud deployments for their data management needs.

Data Warehouse 67

Data Warehouse Reporting Enterprise Management 67

CIO Business Intelligence

APRIL 10, 2019

BI analysts, with an average salary of $66,791 per year according to PayScale, provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for reporting, among other tasks. To read this article in full, please click here

Business Intelligence 111

Business Intelligence Data Warehouse Data-driven Software 111

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy. Another complication was the existing data silos.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

JUNE 24, 2022

Approximately 61% of APAC organizations have failed to build robust and successful digital business business models, primarily due to unsound practices of enterprise architecture (EA) teams, according to a report from Forrester. Enterprise architecture is key to success. “To

Modeling 105

Modeling Digital Transformation Data Architecture Data-driven 105

CIO Business Intelligence

NOVEMBER 14, 2022

The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more. Data-driven DSS. The size of the DSS database will vary based on need, from a small, standalone system to a large data warehouse.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Octopai

FEBRUARY 12, 2020

A data dictionary is a tool that organizes and describes different variables indicated by metadata associated with a dataset. A business glossary, sometimes referred to as a data glossary , is a broader tool. It defines terminology used by multiple departments across an enterprise. Get Good Stuff by Having a Data Dictionary.

Metadata 54

Metadata Enterprise Management Data Warehouse 54

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103