What Is a Data Repository? [+ Examples and Tools]

Businesses are collecting, storing, and using more data than ever before. This data is being used to improve the customer experience, support marketing and advertising efforts, and drive decision making. But more data means more challenges.

在一个survey on customer experience (CX) among businesses in the United States, 49.8% identified the lack of reliability and integrity of available data as the main challenge affecting data analysis capability for CX. Data security, data privacy, and too many data sources were also identified as challenges.

To help you overcome these issues and get the most out of your data, you can store it in a data repository. Let’s take a close look at this term, then walk through some examples, benefits, and tools that can help you store and管理您的数据。

While commonly used for scientific research, a data repository can also be used to manage business data. Let’s take a look at some challenges and benefits below.

数据存储库的挑战是什么？

数据存储库的挑战都围绕管理。例如，数据存储库可以随着企业的成长而减慢它们的生长，因此重要的是您有一个软件或机制来扩展存储库。bob电竞官方下载您还需要确保存储库得到备份并确保。这是因为系统崩溃或攻击可能会损害您的所有数据，因为它存储在一个地方而不是在多个位置分布。

这些challenges can be addressed by a solid data management strategy that addresses data quality, privacy, and other数据趋势。

To create your own, check out our guideEverything You Need to Know About Data Management。

数据存储库有什么好处？

Having data from multiple sources in one place makes it easier to manage, analyze, and report on. A data repository makes it faster and easier to analyze and report data because it’s stored in one place and compartmentalized. It also improves the quality of data since it’s aggregated and preserved. Without a single repository, you’ll likely deal with duplicate data, missing data, and other issues that affect the quality of your analysis.

现在，我们了解数据存储库的挑战和好处，让我们看一些示例。

Data Repository Examples

Data repository is a general term. There are several more specific terms or subtypes. Let’s take a look at some of these examples below.

数据仓库

一种数据仓库is a centralized repository that stores large volumes of data from multiple sources in order to more efficiently organize, analyze, and report on it. Unlike a data mart and lake, it covers multiple subjects and is already filtered, cleaned, and defined for a specific use.

我们将仔细研究下面的数据存储库和仓库之间的区别（跳跃链接）。

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Data Mart

一种data mart is a subset of a data warehouse designed to deliver specific data to a specific user for a specific application. This type of repository is focused on a single subject. For example, a human resources database may contain data marts for employees, benefits, and payroll, respectively.

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数据湖

一种数据湖存储来自不同来源的原始数据。“原始”数据意味着它尚未被过滤或结构化，并且没有预先确定的用例。这使其更容易和更便宜，而且还需要更多的工作选择，组织和清洁使用它。

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数据仓库最适合提供从多个来源集成的大型数据集的广阔的历史视图，以驱动影响整个企业的战略决策。其他类型的数据存储库更适合处理非结构化或复杂的数据格式，分析不同业务运营子集的数据以及其他用例。

For more details on what a data warehouse is and how it works, check out this video:

Data Repository Software

选择数据存储库软件归结为一些关键因素，包括可持续性，可bob电竞官方下载用性和灵活性。以下是评估不同软件时要询问的一些问题：bob电竞官方下载

• 存储库是由公司还是社区的支持？bob全站app
• 用户界面是什么样的？
• 文档清晰而全面吗？
• What data formats does it support?

回答这些问题和其他问题将帮助您选择最能满足您需求的软件。bob电竞官方下载让我们看一下下面的一些流行数据存储库软件选项。bob电竞官方下载

1。Ataccama

Best for:跨国公司和中等规模的生意s

Ataccamais a data repository software that can act as a single source of truth for your company’s data and dynamically create different views of that data for different teams and departments. It provides AI and smart automated processes to simplify data management and save you time.

2。一种mazon Redshift

Best for:各种规模的组织

亚马逊红移是最广泛使用的云数据仓库，也是其中之一最佳数据管理平台。Using Structured Query Language (SQL), it analyzes structured and semi-structured data across data warehouses, operational databases, data lakes, and third-party data sets. Since it’s cloud warehousing, you can quickly run and scale analytics on all your data without having to manage any infrastructure.

3。Oracle Autonomous Database

Best for:Enterprise companies

Oracle Autonomous Database is an all-in-one cloud database solution for data marts, data lakes, operational reporting, and batch data processing. It uses machine learning to automate all routine database tasks, including provisioning, tuning, scaling, and failure detection, to ensure higher performance, reliability, security, and operational efficiency.

4。Integrate.io

Best for:Ecommerce companies

Integrate.io is a data warehouse integration platform designed for ecommerce companies. With Integrate.io, you can get inventory, fulfillment, and carrier performance reporting in real time to discover operational inefficiencies, drive decision making, and grow your business.

Why You Need a Data Repository

数据存储库通常可以参考指定的数据存储的任何目的地或更具体地指的是数据仓库或数据湖 - 可以帮助改善您的数据报告和分析。反过来，这可以改善您的决策并帮助发展业务。