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

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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BizAcuity

APRIL 1, 2023

So to achieve the benefits of consolidation, Company B’s billing system must be integrated into Company A’s billing system which can be easily done by Informatica Informatica tool for Data Warehousing: Companies establishing their warehouses of data will need ETL to transfer the data to the warehouse from the Production system.

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Astera

FEBRUARY 28, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

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Astera

DECEMBER 16, 2024

What is Hevo Data and its Key Features Hevo is a data pipeline platform that simplifies data movement and integration across multiple data sources and destinations and can automatically sync data from various sources, such as databases, cloud storage, SaaS applications, or data streaming services, into databases and data warehouses.

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BizAcuity

DECEMBER 28, 2022

Informatica tool for Data Warehousing: Companies establishing their warehouses of data will need ETL to transfer the data to the warehouse from the Production system. Typical actions required in data warehouses are: Data warehouses put information from many sources together for analysis.

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Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.

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Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

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Astera

DECEMBER 16, 2022

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. See Case Sudy.

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Astera

DECEMBER 16, 2022

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. See Case Sudy.

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Astera

DECEMBER 2, 2022

These large data volumes present numerous challenges for companies, especially those with outdated data management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data.

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Business Analysis Knowledge Share

OCTOBER 24, 2023

This article aims to provide a comprehensive overview of Data Warehousing, breaking down key concepts that every Business Analyst should know. Introduction As businesses generate and accumulate vast amounts of data, the need for efficient data management and analysis becomes paramount.

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Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

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Astera

SEPTEMBER 25, 2024

The data management and integration world is filled with various software for all types of use cases, team sizes, and budgets. It provides many features for data integration and ETL. While Airbyte is a reputable tool, it lacks certain key features, such as built-in transformations and good documentation.

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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. Big Data LDN 2022 | Olympia, London. Final Word. Stay tuned!

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Actian

JULY 31, 2019

Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle.

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Astera

DECEMBER 28, 2023

Airbyte vs Fivetran vs Astera: Overview Airbyte Finally, Airbyte is primarily an open-source data replication solution that leverages ELT to replicate data between applications, APIs, data warehouses, and data lakes. Like other data integration platforms , Airbyte features a visual UI with built-in connectors.

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Astera

DECEMBER 28, 2023

Airbyte vs Fivetran vs Astera: Overview Airbyte Finally, Airbyte is primarily an open-source data replication solution that leverages ELT to replicate data between applications, APIs, data warehouses, and data lakes. Like other data integration platforms , Airbyte features a visual UI with built-in connectors.

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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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Sisense

MARCH 20, 2019

MongoDB (or NoSQL) : An open source Database Management System (DBMS), MongoDB uses a document-oriented database model. That means that instead of using tables in rows in a database, MongoDB is made up of collections of documents. Data Warehousing. Hadoop : This is the main framework for processing Big Data.

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Astera

FEBRUARY 26, 2024

Azure SQL Data Warehouse, now called Azure Synapse Analytics, is a powerful analytics and BI platform that enables organizations to process and analyze large volumes of data in a centralized place. However, this data is often scattered across different systems, making it difficult to consolidate and utilize effectively.

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Business Analysis Knowledge Share

MARCH 15, 2023

Understanding the key concepts of data warehousing, such as data integration, dimensional modeling, OLAP, and data marts, is vital for business analysts who are responsible for analyzing data and providing insights that drive business performance. What is Data Warehousing?

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Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

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Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

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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.

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Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. These databases are suitable for managing semi-structured or unstructured data.

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Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. Scalability As the healthcare providers grow or add more source systems, data vault scales easily.

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Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What’s New in Data Vault 2.0? Data Vault 2.0

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Astera

AUGUST 29, 2024

It enables easy data sharing and collaboration across teams, improving productivity and reducing operational costs. Identifying Issues Effective data integration manages risks associated with M&A. Assessment includes understanding data ownership, usage, and dependencies.

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Domo

SEPTEMBER 11, 2019

2 – Customers find it easy and inexpensive to get data in and out of Domo Other data management solutions might make it easy to get your data in, but they make it difficult and/or expensive to get it out. Any customer who wants to get their data out of Domo can do so in a number of ways.

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Astera

MARCH 26, 2023

But managing this data can be a significant challenge, with issues ranging from data volume to quality concerns, siloed systems, and integration difficulties. In this blog, we’ll explore these common data management challenges faced by insurance companies.

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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.

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Astera

MAY 9, 2023

Data processing involves transforming raw data into valuable information for businesses. Generally, data scientists process data, which includes collecting, organizing, cleaning, verifying, analyzing, and converting it into readable formats such as graphs or documents. Try it Now!

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Astera

JANUARY 18, 2024

While there’s community support for its open-source solution, Talend Open Studio, the documentation lacks depth, which makes it even more difficult for business users. Its platform includes: ReportMiner for unstructured data extraction in bulk. Centerprise for data integration and building and orchestrating data pipelines.

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Cprime

MAY 4, 2023

Data integration merges the data from disparate systems, enabling a full view of all the information flowing through an organization and revealing a wealth of valuable business insights. What is Data Integration? Replication can occur in bulk, in batches on a scheduled basis, or in real time across data centers and/or the cloud.

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Astera

JANUARY 17, 2024

The transformation process may involve the restructuring, cleaning, and formatting of data to align it with the standards and requirements of the intended target system or data warehouse. This phase ensures data consistency, quality, and compatibility.

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Astera

AUGUST 22, 2023

Uncover hidden insights and possibilities with Generative AI capabilities and the new, cutting-edge data analytics and preparation add-ons We’re excited to announce the release of Astera 10.3—the the latest version of our enterprise-grade data management platform. Specify the data layout and the fields you want to extract.

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