CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. 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 mining 135

Data mining Data-driven Statistics OLAP 135

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The scope should contain inputs and data points on the current architecture as well as the target architecture.

Testing 100

Testing Data Warehouse Metrics Cost-Benefit 100

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures.

Data Architecture 130

Data Architecture Data Warehouse Statistics Visualization 130

erwin

SEPTEMBER 3, 2020

Data governance provides time-sensitive, current-state architecture information with a high level of quality. It documents your data assets from end to end for business understanding and clear data lineage with traceability. Automating Data Governance and Enterprise Architecture.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

AWS Big Data

MARCH 25, 2024

A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base. For example, Amazon DynamoDB provides a feature for streaming CDC data to Amazon DynamoDB Streams or Kinesis Data Streams.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Sisense

JULY 8, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

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

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. How to scale AL and ML with built-in governance A fit-for-purpose data store built on an open lakehouse architecture allows you to scale AI and ML while providing built-in governance tools.

Risk 75

Risk Modeling Management Metadata 75

erwin

SEPTEMBER 26, 2019

So Seriously … You Should Automate Your Data Vault. Data Vault is a methodology for architecting and managing data warehouses in complex data environments where new data types and structures are constantly introduced. By Danny Sandwell.

Data Warehouse 108

Data Warehouse Cost-Benefit Data Integration Modeling 108

Cloudera

SEPTEMBER 30, 2020

In our previous blog post we introduced Cloudera Data Visualization in Cloudera Data Warehouse (CDW) available in tech preview, in CDP Public Cloud. This blog will help you get started with Cloudera Data Visualization, so you can start building interesting and powerful applications on all types of data.

Visualization 71

Visualization Data Warehouse Dashboards Data Processing 71

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 98

Data Warehouse Testing Data Lake Data-driven 98

Cloudera

MAY 10, 2021

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.

Data Warehouse 104

Data Warehouse Consulting Machine Learning Risk 104

CDW Research Hub

JANUARY 27, 2020

Are you preparing to move data to a Snowflake data warehouse? Document the existing solution. List databases and data objects that need to be migrated. Define known data quality issues to be addressed. List processes and tools that populate and pull data from the existing solution.

Data Warehouse 52

Data Warehouse Testing Data Quality IT 52

Smart Data Collective

JULY 20, 2021

As a standalone product, this software helps professionals with rich sets of spreadsheets, charts and documents. Quip integration tool will allow teams to improve collaborations, export and import live data, enhanced visibility and outstanding device support. This tool will help you to sync and store data from multiple sources quickly.

Sales 140

Sales Big Data Marketing Software 140

Data Science 101

DECEMBER 3, 2019

Do you have a data governance document? What data do you collect? Technical Questions Before Starting a Data Strategy. How and where is your current data stored? What is the current data infrastructure? Do you have a data warehouse? Do you use any external data?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

AWS Big Data

DECEMBER 13, 2023

A CDC-based approach captures the data changes and makes them available in data warehouses for further analytics in real-time. usually a data warehouse) needs to reflect those changes in near real-time. This post showcases how to use streaming ingestion to bring data to Amazon Redshift.

Data Warehouse 98

Data Warehouse Snapshot Data Processing Management 98

Octopai

MARCH 22, 2023

Data migration can be a daunting task, especially when dealing with large volumes of data. Snowflake is one of the leading cloud-based data warehouse that provides scalability, flexibility, and ease of use. Snowflake data warehouse platform has been designed to leverage the power of modern-day cloud computing technology.

Cost-Benefit 78

Cost-Benefit Data Warehouse Optimization Unstructured Data 78

Cloudera

DECEMBER 21, 2023

The SQL AI Assistant recognizes data-centric elements as well; where possible it will recognize things like comparing to the value 1.2 The explanation can be inserted into the SQL editor as a comment so we can keep, and modify, this explanation together with the query wherever we’re saving and documenting it.

Optimization 67

Optimization Sales Data Warehouse Measurement 67

Cloudera

JANUARY 19, 2024

Please refer to the product documentation for more information about specific releases. Log in to the Cloudera Data Warehouse service as DWAdmin. Go to the virtual warehouse tab, locate the Virtual Warehouse on which you want to enable this feature, and click “edit.” Log in to the data warehouse service as DWAdmin.

Data Warehouse 72

Data Warehouse Data Processing Optimization Modeling 72

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

erwin

FEBRUARY 13, 2020

The numerous data types and data sources that exist today weren’t designed to work together, and data infrastructures have been cobbled together over time with disparate technologies, poor documentation and little thought for downstream integration. Finding metadata, “the data about the data,” isn’t easy.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

erwin

AUGUST 7, 2019

The process begins with the target or data end point, and then traversing the processes, applications, and ETL tasks in reverse from the target. The data sources that feed the ETL process are added to a “task list,” and the process is repeated for each of those sources. At each stage, the discovered pieces of lineage are documented.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

Laminar Security

AUGUST 31, 2023

Laminar, a leader in data security posture management (DSPM), has taken an important step in addressing these challenges by expanding its platform to support Microsoft OneDrive and Google Drive. With this launch, the Laminar DSPM platform supports all major CSPs as well as data warehouses, SaaS apps, and cloud file shares.

Risk 88

Risk Data Warehouse Measurement Management 88

Cloudera

SEPTEMBER 29, 2022

Data mesh conceptual hierarchy. Instead of having a central team that manages all the data for a company, the thinking is that the responsibility of generating, curating, documenting, updating, and managing data should be distributed across the company based on whichever team is best suited to produce and own that data.

Data Architecture 74

Data Architecture Metadata Data Warehouse Sales 74

datapine

NOVEMBER 19, 2019

Discovery and documentation serve as key features in collaborative BI. This kind of analysis leads to feedback that can aid in improving the decision-making process, letting companies document the best practices and monitor the data that’s the most useful in this scenario. However, collaborative BI helps in changing that.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Software 146

AWS Big Data

JANUARY 24, 2024

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. resource('s3') bucket = s3.Bucket(' Bucket(' ') bucket.objects.filter(Prefix=" /noaadelta/").delete()

Snapshot 101

Snapshot Data Lake Metadata Optimization 101

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. Please see the linked documentation to see how to take advantage of this feature.

Snapshot 70

Snapshot Metadata Data Warehouse Optimization 70

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

erwin

MAY 2, 2022

I’m not proposing that business logic be held in the database, but it needs to be documented in the data model even if it will be implemented in application code. No matter where you implement it, you must fully document the business requirements in order to produce an effective final result.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

Octopai

DECEMBER 10, 2019

This is a company-wide document that defines all important terms used internally, with customers and with vendors. Well, first, it automatically extracts all the objects from the reporting tools and the data warehouse, and then creates them within the business glossary with all descriptions from the system of origin.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

erwin

JULY 2, 2020

He added, “We have also linked it to our documentation repository, so we have a description of our data documents.” They have documented 200 business processes in this way. Data Modeling with erwin Data Modeler. His team also is using the software to manage roadmaps in their main transformation programs.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

CDW Research Hub

OCTOBER 25, 2019

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering. Mapping a successful data migration can bring on rough weather.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

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., Clearly documents data catalog policies, rules and shares information assets.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Alation

FEBRUARY 7, 2023

It wouldn’t be until 2013 that the topic of data lineage would surface again – this time while working on a data warehouse project. Data warehouses obfuscate data’s origin In 2013, I was a Business Intelligence Engineer at a financial services company.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Microsoft Azure.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

Cloudera

JULY 11, 2023

Cloudera offers Apache Kudu to run in Real Time DataMart Clusters , and Apache Impala to run in Kubernetes in the Cloudera Data Warehouse form factor. What’s Next For complete setup guide refer to CDW documentation on this topic. To know more about Cloudera Data Warehouse please click here.

Data Warehouse 70

Data Warehouse Data-driven Reporting Analytics 70