BizAcuity

SEPTEMBER 22, 2022

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. Not being an agile cloud data warehouse.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Inflexion Analytics

AUGUST 31, 2020

The risks of the portfolio must be monitored to ensure that the performance of the portfolio is staying within predicted parameters. Monitoring will reveal where this is not the case. A failure to monitor the portfolio risk is damaging for the contractor and the client alike. Example Case: A Construction Company Client.

Monitoring 52

Monitoring Data Warehouse Data Modelling Visualization 52

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Timo Elliott

MARCH 6, 2023

He highlighted technologies like SAP Data Warehouse Cloud, SAP Process Intelligence, and no-code business applications to enable business people to create their own workflows and automate processes, allowing them to work faster and more efficiently.

Artificial Intelligence 277

Artificial Intelligence Innovation Supply Chain Logistics 277

Astera

FEBRUARY 9, 2024

Data Loading The IT team configures a secure connection to BankX’s data warehouse using Astera’s Data Connectors. Astera has native connectors for various data warehouses, such as Amazon Redshift, Google BigQuery, or Snowflake, and can also load data into other destinations, such as files, databases, etc.

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Astera

JANUARY 29, 2024

. “Data privacy is a data discipline that needs to be governed. If the people working on governance handle privacy, they’ll work on identifying where private data lives, understand privacy rules, communicate to data users, and monitor adherence to privacy rules,” Albert adds.

Government 145

Government Data Warehouse Data Governance Artificial Intelligence 145

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.

Data Management 211

Data Management Data Warehouse Master Data Management Digital Transformation 211

Astera

FEBRUARY 9, 2024

Data Loading Once you’ve have ensured data quality, you must configure a secure connection to the bank’s data warehouse using Astera’s Data Connectors. Astera’s Data Destinations can be critical in setting up the credit risk assessment pipelines. Transformation features.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Astera

JUNE 6, 2023

The pipeline includes stages such as data ingestion, extraction, transformation, validation, storage, analysis, and delivery. Technologies like ETL, batch processing, real-time streaming, and data warehouses are used. They are ideal for handling historical data analysis, offline reporting, and batch-oriented tasks.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

JANUARY 19, 2024

Mulesoft and Its Key Features MuleSoft provides a unified integration platform for connecting applications, data, and devices on-premises and in the cloud. Built on Java, its Anypoint Platform acts as a comprehensive solution for API management, design, monitoring, and analytics. Unified reporting console for streamlined monitoring.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

Domo

APRIL 30, 2021

Data integration, not application integration. Organizations need the ability to integrate all data sources—clouds, applications, servers, data warehouses, etc. Enterprises may try to resolve the data integration issue through application integration and system orchestration. Governance and control. Performance.

Data Warehouse 98

Data Warehouse Artificial Intelligence Government Digital Transformation 98

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 Embedded Analytics Real-time Data Documentation 90

Astera

FEBRUARY 16, 2024

There are several ETL tools written in Python that leverage Python libraries for extracting, loading and transforming diverse data tables imported from multiple data sources into data warehouses. Requires constant monitoring, error handling, and performance optimization.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Government 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

JUNE 6, 2023

The transformation layer applies cleansing, filtering, and data manipulation techniques, while the loading layer transfers the transformed data to a target repository, such as a data warehouse or data lake. Types of ETL Architectures Batch ETL Architecture: Data is processed at scheduled intervals.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Astera

APRIL 28, 2023

Additionally, AI-powered data modeling can improve data accuracy and completeness. For instance, Walmart uses AI-powered smart data modeling techniques to optimize its data warehouse for specific use cases, such as supply chain management and customer analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Smart Data Collective

FEBRUARY 20, 2022

How can database activity monitoring (DAM) tools help avoid these threats? What are the ties between DAM and data loss prevention (DLP) systems? What is the role of machine learning in monitoring database activity? On the other hand, monitoring administrators’ actions is an important task as well.

Monitoring 294

Monitoring E-Commerce Data Warehouse Data Security 294

Smart Data Collective

MARCH 21, 2022

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. Data Mesh is gaining a stronger foundation. The mesh is highly secure.

Data Management 168

Data Management Government Data Warehouse Big Data 168

Astera

JANUARY 24, 2024

However, with SQL Server change data capture , the system identifies and extracts the newly added customer information from existing ones in real-time, often employed in data warehouses, where keeping data updated is essential for analytics and reporting. How C hange D ata C apture Works?

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

ElegantJ BI

JANUARY 7, 2016

Information and data come from every corner of the enterprise, and can include databases, data warehouses, best-of-breed systems, legacy systems, and specialized systems like ERP, HR, Finance, Accounting , Warehousing and others. Every organization has to juggle information.

Business Intelligence 130

Business Intelligence Business Intelligence Finance Data Warehouse 130

Astera

MAY 25, 2023

Overcoming Snowflake Migration Challenges: A Complete Guide Snowflake has quickly become a popular choice for data warehousing, thanks to its cloud-native architecture, advanced features, and scalability. However, migration to Snowflake from an existing data warehouse platform can be a complex and challenging process.

Data Warehouse 52

Data Warehouse Skillset Data Quality Change Management 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

MAY 25, 2023

Snowflake is a modern cloud-based data platform that offers near-limitless scalability, storage capacity, and analytics power in an easily managed architecture. Snowflake’s core components are the cloud-based compute node (Snowflake Compute Cloud) and the database schema for storing data (Snowflake Data Warehouse).

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Sisense

FEBRUARY 17, 2020

A top priority for the Sisense for Cloud Data Teams customer success team is to monitor query performance. Many data analysts and scientists understand that complex logic may take a while to execute against a database, but a business user expects data to be returned extremely quickly. where query_type = 'SELECT'.

Data Warehouse 80

Data Warehouse User Experience Monitoring Business Intelligence 80

Astera

APRIL 23, 2024

Data quality metrics are not just a technical concern; they directly impact a business’s bottom line. million annually due to low-quality data. Furthermore: 41% of data warehouse projects are unsuccessful, primarily because of insufficient data quality.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

ElegantJ BI

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

ElegantJ BI

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

ElegantJ BI

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

Tableau

APRIL 3, 2021

We built a data warehouse, then hoped and prayed that once we finished the build cycle and were ready to report, the requirements were still the same. Next, came the Agile methodology, where data reporting became more about the minimal marketable features. As time went on, you forgot about the dashboard ; it was dead.

Design Thinking 86

Design Thinking Data Visualization Data Warehouse Visualization 86

ElegantJ BI

JANUARY 7, 2016

Information and data come from every corner of the enterprise, and can include databases, data warehouses, best-of-breed systems, legacy systems, and specialized systems like ERP, HR, Finance, Accounting , Warehousing and others. Every organization has to juggle information.

Business Intelligence 100

Business Intelligence Business Intelligence Finance Data Warehouse 100

ElegantJ BI

JANUARY 7, 2016

Information and data come from every corner of the enterprise, and can include databases, data warehouses, best-of-breed systems, legacy systems, and specialized systems like ERP, HR, Finance, Accounting , Warehousing and others. Monitor and analyze financial results and statements on a periodic and ongoing basis.

Business Intelligence 100

Business Intelligence Business Intelligence Finance Data Warehouse 100

ElegantJ BI

AUGUST 10, 2016

It can monitor and manage Sarbanes-Oxley Act SOX controls, and data security and access rights controls, and establish key reports and automated processes to alert the business to issues when a threshold is crossed, or an issue is identified.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

It can monitor and manage Sarbanes-Oxley Act SOX controls, and data security and access rights controls, and establish key reports and automated processes to alert the business to issues when a threshold is crossed, or an issue is identified.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

Gather, monitor and analyze data for Profit and Loss, Balance Sheets, Cash Flows and other standard reports. The team can also monitor data warehouses, legacy systems and best-of-breed solutions and identify redundant data, performance issues, data parameters, or data integrity issues.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

Astera

NOVEMBER 27, 2023

Applications of Data Profiling Data profiling finds applications in various areas and domains, including: Data Integration and Data Warehousing : Data profiling facilitates the integration of multiple datasets into a centralized data warehouse, ensuring data accuracy, consistency, and compatibility between sources.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52