Astera

DECEMBER 16, 2022

John Stillwagen, Senior Director MIS at La Jolla Institute for Immunology, demonstrated how efficiently our data warehouse solution, Astera Data Warehouse Builder, helps you build an enterprise-grade data warehouse via a no-code interface. Try Astera Data Stack First-hand for All Your Data Management Needs.

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Astera

AUGUST 21, 2023

Other approaches, like snowflake and 3NF, are also widely used in building data marts and data warehouses. The important task for data teams is to find the best approach based on their use case and resources. Selecting the right modeling technique is vital in automating data warehousing and BI initiatives.

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Astera

NOVEMBER 30, 2023

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 Data Vault 2.0: can greatly simplify these processes.

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Astera

JANUARY 13, 2023

The rise of unconventional data sources such as IoT, social media, and satellite imagery, and the consequent increase in data volume, variety, and velocity, has accelerated cloud adoption as modern enterprises want to leverage cloud data warehouses and data lakes to effectively process and store data.

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Astera

NOVEMBER 13, 2023

D ata is the lifeblood of informed decision-making, and a modern data warehouse is its beating heart, where insights are born. In this blog, we will discuss everything about a modern data warehouse including why you should invest in one and how you can migrate your traditional infrastructure to a modern data warehouse.

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Domo

MARCH 2, 2021

Enterprises often face unique challenges when it comes to extracting data. With the sheer amount and range of data they collect, they gravitate toward enterprise data warehouses (EDWs), which work exceptionally well at reading data but aren’t as good at ingesting new datasets.

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Astera

MAY 9, 2023

Six Stages of the Data Processing Cycle The data processing cycle outlines the steps that one needs to perform on raw data to convert it into valuable and purposeful information. Data Input Data input stage is the stage in which raw data starts to take an informational form.

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Domo

MAY 27, 2021

Said another interviewee, an IT director at an insurance company: “We have gone from an organization believing that we can’t do a certain analysis to an organization that brainstorms how to use internally and publicly available data to get the insights we seek.” million and an ROI of 345%.

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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.

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Actian

MAY 21, 2019

Actian Avalanche delivers an operational data warehouse as a managed service in the cloud. downloaded and available in the environment where the tools run.?The Extract the iijdbc.jar file from the downloaded JDBC package. To learn more about Actian Avalanche, our fully managed cloud data warehouse service, visit [link].

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Actian

JUNE 12, 2019

Actian Avalanche delivers an operational data warehouse as a managed service in the cloud. A prerequisite is to have the Actian Avalanche JDBC driver downloaded and available in the environment where the tools run. Use the folder button to add the jar file (iijdbc.jar) from where it was downloaded and uncompressed.

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Astera

MARCH 31, 2023

Team members heavily depend on these repositories for decision-making, reporting and visualizing data, and other business intelligence activities. Here's What You Need to Know Free Download So where does it leave the enterprise? Building a SSOT?

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Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

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Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

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Astera

DECEMBER 22, 2022

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Best Practices to Build Your Data Warehouse .

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Tableau

MAY 25, 2021

Take advantage of the open source and open data formats of Delta Lake to make data accessible to everyone . Work with any data warehouse or data platform that supports Parquet. Delta Sharing enables secure data sharing with open, secure access and seamless sharing between data consumers, providers, and sharers. .

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Actian

JUNE 1, 2019

Avalanche is the world’s fastest analytic data warehouse delivered as Software as a Service (SaaS ). Actian Avalanche is standards based, supporting the latest SQL, ODBC and JDBC standards, which enables it to easily fit into any existing data eco-system. . downloaded and available in the environment where the tools run.

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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).

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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)?

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Astera

DECEMBER 21, 2022

Data and analytics are indispensable for businesses to stay competitive in the market. Hence, it’s critical for you to look into how cloud data warehouse tools can help you improve your system. According to Mordor Intelligence , the demand for data warehouse solutions will reach $13.32 billion by 2026. Ease of Use.

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Tableau

MAY 25, 2021

Take advantage of the open source and open data formats of Delta Lake to make data accessible to everyone . Work with any data warehouse or data platform that supports Parquet. Delta Sharing enables secure data sharing with open, secure access and seamless sharing between data consumers, providers, and sharers. .

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Astera

NOVEMBER 16, 2022

Using Astera Centerprise, you can: Extract data from disparate sources and load it into the destination of your choice using native connectors seamlessly. Connect to popular databases, data warehouses, and cloud providers, including Snowflake, Amazon RDS, Netezza, SQL Server, Amazon S3, Microsoft Blob Storage, and more.

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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.

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Astera

JANUARY 22, 2024

Create a Centralized Customer Database: This step involves establishing a centralized repository or database for storing unified customer data. Various platforms can be leveraged for this purpose, including traditional relational databases, modern NoSQL databases, data warehouses, or cloud-based storage solutions.

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Astera

JUNE 14, 2023

The ultimate goal is to convert unstructured data into structured data that can be easily housed in data warehouses or relational databases for various business intelligence (BI) initiatives. The process enables businesses to unlock valuable information hidden within unstructured documents.

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Actian

JUNE 4, 2019

Implementing a data warehouse is a big investment for most companies and the decisions you make now will impact both your IT costs and the business value you are able to create for many years. Data Warehouse Cost. Your data warehouse is the centralized repository for your company’s data assets.

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Actian

OCTOBER 21, 2019

Download a JDBC or Avalanche client runtime package. To download drivers for Avalanche, log in to the web console and click the Driver & Tools link, which opens Electronic Software Delivery (ESD) in a new browser tab. The following download packages are available from the RELEASE dropdown for Avalanche.

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Astera

JULY 18, 2023

Variety of Connectors: The tool supports a large library of on-premises and cloud-based sources and destinations including databases, data warehouses, and data lakes. Data transformation: Astera offers various built-in transformations and functions that allow you to manipulate your data the way you want.

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Insight Software

DECEMBER 8, 2020

For more information about the risks of Power BI, download our FREE e-book, 5 Unknown Facts about Power BI That Create Project Risk. Power BI Without the Risk. insightsoftware offers reporting and analysis tools that provide self-service, user-friendly capabilities, with integration to Power BI and Excel.

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Astera

DECEMBER 21, 2022

An automated data extraction software can help free up employees, giving them more time to focus on the core activities instead of repetitive data collection tasks. For instance, the sales department can automatically extract data from a PDF invoice to an excel database.

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Astera

JUNE 14, 2023

Integration and Data Delivery: Data capture solutions integrate with other systems and applications within the organization’s technology ecosystem. The extracted data can be seamlessly delivered to downstream systems, such as visualization tools or data warehouses.

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Actian

JULY 17, 2019

If your company has existed for a number of years, then you likely have multiple databases, data marts and data warehouses, developed for independent business functions, that now must be integrated to provide the holistic perspective that digitally transformed business processes require. Why are distributed queries problematic?

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Astera

APRIL 24, 2024

There are different types of data ingestion tools, each catering to the specific aspect of data handling. Standalone Data Ingestion Tools : These focus on efficiently capturing and delivering data to target systems like data lakes and data warehouses.

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Astera

NOVEMBER 28, 2023

For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback. They can then transform that data into a unified format, and load it into a data warehouse. Facilitating Real-Time Analytics: Modern data pipelines allow businesses to analyze data as it is generated.

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Astera

JANUARY 31, 2024

Whether you need to manage unstructured data, create fully automated data pipelines, build a data warehouse , manage APIs , or enable frictionless B2B communication via EDI, everything is a matter of drag-and-drop and point-and-click. Download Trial Try for free today. Azure SQL Database). Try for free today.

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Astera

SEPTEMBER 1, 2023

The significance of data warehousing for insurance cannot be overstated. It forms the bedrock of modern insurance operations, facilitating data-driven insights and streamlined processes to better serve policyholders. The data warehouse has the highest adoption of data solutions, used by 54% of organizations.

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Sisense

AUGUST 16, 2021

.” It falls to cloud data teams and other stakeholders to weigh their options and pick the best products to meet these needs, often holding off on choosing a BI tool until they’ve settled on a cloud-based data warehouse, even if the platform could help them start evolving their business immediately. Download the guide.

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