数据摄入：它是什么，加上如何以及为什么您的业务应利用它

缩放业务必定会在多个来源（例如数据库，文件，实时数据供稿）中存储数据。即使是部门内的各个团队（例如内容营销，品牌策略和SEO），也可能同时使用多个数据源。

It's important to ensure you have a way of viewing, visualizing, and analyzing all of that data at once. This gives you a complete picture of the health of everything related to your business, from small projects to team projections to overall business success.

Data ingestion is the process that can efficiently get all of your data in one place.

数据摄入

At a high level, data ingestion prepares your data for analysis. In this blog post, we’ll cover the definition of data ingestion in greater detail, describe its importance, review the data ingestion framework, and highlight a few tools that will make the process simple for your team. Let’s dive in.

什么是数据摄入？

Data ingestion prepares your data for analysis. It’s the process of transporting data from a variety of sources into a single location — often to a destination like a database, data processing system, or data warehouse — where it can be stored, accessed, organized, and analyzed.

这个过程可以让企业获得整体view of their data in order to leverage and apply resulting insights and findings in their strategies.

为什么数据摄入很重要？

You may be wondering why data ingestion is so important and why your marketing team — and business as a whole — should leverage it.

As mentioned, data ingestion provides a single view of all of your data. Without the ability to access, review, and analyze all of your data at the same time — versus having to check multiple data sources which visualize your data in different formats — you wouldn’t have a clear or accurate picture of what’s doing well and what needs to be improved upon.

Data ingestion tools存在通过自动化从各种来源集成所有数据的过程来使此过程更容易。这样，您团队中的任何人都可以访问和通过您的组织中通用的工具访问和共享该数据。

数据摄入框架

数据摄入框架是数据摄入的方式 - 这是来自多个来源的数据实际运输到单个数据仓库/数据库/存储库中的方式。换句话说，数据摄入框架使您能够集成，组织和分析来自不同来源的数据。

Unless you have a professional create your framework for you, you’ll need data ingestion software to make the process happen. Then, the way that the tool ingests your data will be based on factors like your data architectures and models.

数据摄入的主要框架有两个：批处理数据摄入和流数据摄入。

Before we define batch versus streaming data injection, let’s take a moment to decipher the difference between data ingestion and data integration.

数据摄入与数据集成

数据集成将数据摄入进一步走进一步 - 而不是仅在将数据传输到其新位置/存储库后停止，数据集成还可以确保所有数据，无论其是什么类型或它来自哪种源，都可以彼此兼容以及它被运送到的存储库。这样，您可以轻松，准确地分析它。

1。Batch Data Ingestion

The batch data ingestion framework works by organizing data and transporting it into the desired location (whether that’s a repository, platform, tool etc.) in groups — or batches — periodically.

除非您有大量数据（或正在处理大数据），否则这是一个有效的框架，因为在这些情况下，这是一个相当缓慢的过程。等待运输的数据批次需要花费时间，您将无法实时访问该数据。但是，由于它需要很少的资源，因此已知这是一种具有成本效益的选择。bob体育苹果系统下载安装

2。Streaming Data Ingestion

A streaming data ingestion framework transports data continuously and the moment it’s created/ the system identifies it. It’s a helpful framework if you have a lot of data that you need access to in real-time, but it is more expensive due to the capabilities that batch processing doesn’t have.

数据摄入Tools

Data ingestion tools integrate all of your data for you — no matter the source or format — and house it in a single location.

根据您选择的软件，它可能只能执行该bob电竞官方下载功能，或者可能有助于数据管理过程的其他方面，例如数据集成，这需要将所有数据转换为单个格式。

1。Apache Gobblin

Apache Gobblinis a distributed data integration framework and it's ideal for businesses working with big data. It streamlines much of the data integration process, including data ingestion, organization, and lifecycle management. Apache Gobblin can manage both batch and streaming data frameworks.

2。Google Cloud Data Fusion

Google云数据融合是一个fully managed, cloud data integration service。您可以从多个来源摄入和集成数据，然后将其与其他数据源进行转换和融合。这是可能的，因为该工具带有许多与各种数据系统和格式一起使用的开源转换和连接器。

3。Equalum

Equalum是一种实时的企业级数据摄入工具，可集成批处理和流数据。该工具收集，操纵，转换和同步为您的数据。Exeleum的拖放UI很简单，不需要代码，因此您可以快速创建数据管道。

开始使用数据摄入

数据摄入是数据管理的关键方面 - 它确保您的所有数据都是准确，集成和组织的，因此您可以轻松地大规模分析并对业务健康的整体看法。