Domo

MAY 20, 2020

Even though we had a data warehouse in place, our data was siloed in many ways. We couldn’t easily blend data to get a full analysis, and we didn’t have the flexibility to quickly pull in new data. And some of the data in the warehouse was days old, which made it difficult to see the full picture.”

Data Warehouse 52

Data Warehouse Visualization Monitoring Business Intelligence 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

OCTOBER 19, 2023

Once satisfied, easily export the organized data to various formats or integrate it with downstream systems for analysis, visualization, or consumption with just a few clicks. Alteryx Alteryx data preparation tool offers a visual interface with hundreds of no/low-code features to perform various data preparation tasks.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

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

Astera

APRIL 24, 2024

Data ingestion is important in collecting and transferring data from various sources to storage or processing systems. In this blog, we compare the best data ingestion tools available in the market in 2024. What is Data Ingestion? Sometimes, data from different sources might be in different formats or structures.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Astera

MARCH 11, 2024

It eliminates the need for complex infrastructure management, resulting in streamlined operations. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. What are Snowflake ETL Tools? Snowflake ETL tools are not a specific category of ETL tools.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

DECEMBER 7, 2023

ETL refers to a process used in data integration and warehousing. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse , or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain 52

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

Astera

NOVEMBER 28, 2023

Therefore, it is imperative for your organization to invest in appropriate tools and technologies to streamline the process of building a data pipeline. This blog details how to build a data pipeline effectively step by step, offering insights and best practices for a seamless and efficient development process.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

DECEMBER 7, 2023

ETL refers to a process used in data warehousing and integration. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse, or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain 52

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

Astera

JANUARY 15, 2024

Push-down ELT technology: Matillion utilizes push-down ELT technology, which pushes transformations down to the data warehouse for efficient processing. Automation and scheduling: You can automate data pipelines and schedule them to run at specific times. Data quality checks and data profiling.

Real-time Data 52

Real-time Data Data Warehouse Data Quality Visualization 52

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. daily or weekly).

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. daily or weekly).

Finance 40

Finance Banking Real-time Data Data Warehouse 40

Astera

MAY 13, 2024

It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Remember to monitor and validate your data to ensure it remains accurate, complete, and relevant.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

SEPTEMBER 4, 2023

This scalability is particularly beneficial for growing businesses that experience increasing data traffic. Enable Real-time Analytics: Data replication tools continuously synchronize data across all systems, ensuring that analytics tools always work with real-time data.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 52

Astera

AUGUST 8, 2023

Data quality tools make it easier for you to deal with the challenges of moder data: volume and velocity. Using these tools, you can easily automate your data quality measures and ensure you consistently get reliable insights. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

SEPTEMBER 28, 2023

Reverse ETL is a relatively new concept in the field of data engineering and analytics. It’s a data integration process that involves moving data from a data warehouse, data lake, or other analytical storage systems back into operational systems, applications, or databases that are used for day-to-day business operations.

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

Data Pine

OCTOBER 25, 2022

Try our BI software 14-days for free & take advantage of your data! 8) “Performance Dashboards – Measuring, Monitoring, And Managing Your Business” by Wayne Eckerson. 10) “The Wall Street Journal Guide To Information Graphics: The Dos And Don’ts of Presenting Data, Facts, And Figures” by Dona M.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Inflexion Analytics

JULY 23, 2021

Managing your farm without monitoring everything you do is like driving a car with a blindfold. But, whereas once you might have relied on a closeness and understanding of the land to assess yields and predict your productivity, now we have data. These sensors send information in real-time, providing massive insights into crop health.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Astera

OCTOBER 31, 2023

At its core, it is a set of processes and tools that enables businesses to extract raw data from multiple source systems, transform it to fit their needs, and load it into a destination system for various data-driven initiatives. The target system is most commonly either a database, a data warehouse, or a data lake.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Documentation 52

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

FEBRUARY 9, 2024

These tasks also require high performance and efficiency, as they may deal with large volumes and varieties of data. According to a report by Gartner , data integration and transformation account for 60% of the time and cost of data warehouse projects.

IBM Support 52

IBM Support Data Quality IBM Maintenance Data Governance 52

Astera

DECEMBER 28, 2023

For example, with Astera, you can: Establish native connectivity to a range of data sources and destinations, both on-premises and cloud-based. Transform and shape your data the way your business needs it using pre-built transformations and functions. Automate and orchestrate your data integration workflows seamlessly.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

For example, with Astera, you can: Establish native connectivity to a range of data sources and destinations, both on-premises and cloud-based. Transform and shape your data the way your business needs it using pre-built transformations and functions. Automate and orchestrate your data integration workflows seamlessly.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Domo

JUNE 19, 2020

While TTCU’s previous solution did some things incredibly well—particularly in terms of elegantly handling financial reporting such as income statements and balance sheets—its data warehouse component was very limited; it was only able to integrate around 40% of their systems. That wasn’t nearly good enough for TTCU.

Real-time Data 52

Real-time Data Data Warehouse Monitoring Digital 52

Astera

JULY 13, 2023

This process includes moving data from its original locations, transforming and cleaning it as needed, and storing it in a central repository. Data integration can be challenging because data can come from a variety of sources, such as different databases, spreadsheets, and data warehouses.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Data Pine

NOVEMBER 11, 2021

a) Data Connectors Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. c) Join Data Sources. Table of Contents. 2) Top Business Intelligence Features.

Business Intelligence 85

Business Intelligence Business Intelligence Embedded Analytics Predictive Analytics 85

Data Pine

JULY 1, 2020

Ad hoc reporting, also known as one-time ad hoc reports, helps its users to answer critical business questions immediately by creating an autonomous report, without the need to wait for standard analysis with the help of real-time data and dynamic dashboards. The post What Is Ad Hoc Reporting?

Retail 104

Retail Healthcare Visualization Business Intelligence 104

Sisense

MARCH 24, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. These insights aim to help you and your team navigate these unprecedented times. When you have masses of data, you need to make it meaningful. That’s what dashboards do.

Healthcare 90

Healthcare Visualization Monitoring Data Warehouse 90

Astera

FEBRUARY 7, 2024

Its versatility allows for its usage both as a database and as a data warehouse when needed. Data Warehousing : A database works well for transactional data operations but not for analysis, and the opposite is true for a data warehouse. The two complement each other so you can leverage your data more easily.

E-Commerce 52

E-Commerce Data Warehouse Monitoring Data Management 52