Utilizing data ingestion pipeline platforms

 

Data ingestion can be unnecessarily complicated and organizations frequently end up investing enormous amount of time and resources in this process itself. This, if you are a business head and planning to implement data science then you should definitely consider taking help of data ingestion pipeline platforms like gathr which offers one-stop solution for all your data ingestion requirements. Platform by gathr also offers state of the art facilities like self-service data ingestion, simple to use UI and automation.  Moreover, there is no format limitations either, be it CSV or JSON your data can be acquired and transferred to any location you want!

About Gathr:

Gathr is a next-gen, cloud-native, fully-managed, no-code data pipeline platform. It’s the only all-in-one platform for all your data integration and engineering needs – batch and streaming ingestion, CDC, ETL, ELT, data preparation, machine learning, and analytics. The Spark-based platform brings unmatched speed, performance, and flexibility required to handle all types of data and analytics approaches, in ways that traditional ETL tools cannot. With Gathr’s visual drag-and-drop interface, native integration for all popular data sources and destinations, an exhaustive set of pre-built operators, and a rich pipeline template gallery, anyone can build and deploy data pipelines, quickly and easily.

Comments

Post a Comment

Popular posts from this blog

What are the Benefits of Using Data Ingestion Tools?

Companies that are building Cloud-first ecosystems rely on a Data ingestion pipeline to advance into the new era of business analytics, AI Operations, and IT modernization. The need to embrace digital transformation is forcing organizations to adopt new technologies to reengineer the conventional IT setups. Today, every organization looks at Cloud and data management tools to redefine the way they use IT networking and data storage platforms for various business operations. To stay competitive in the business, digital transformation goals are designed with integrated Cloud ecosystems in mind, and a data ingestion pipeline is a very important aspect of this strategy. From redefining Cloud migration workflows to simplifying stream analytics with AI and Machine Learning applications, Data Ingestion tools can help an organization demolish the legacy silos, and replace these with a unified enterprise data warehouse where you can put all your data in one place and build a hyper-scale Cl...
Read more

What does data ingestion mean?

  Data Ingestion The process of onboarding data from one or more data sources into an application data store is referred to as Data Ingestion. Almost all businesses in every industry go through some sort of data ingestion - whether a small instance of moving data from one application to another or all the way to an enterprise-wide application that deals with the huge amount of data in a continuous stream coming from multiple sources. The destination is usually a data lake, database, or data warehouse. Sources may be almost anything — including RDBMS, SaaS platform data, S3 buckets, in-house apps, databases, CSVs, or even online streams. Data ingestion is the pillar of any analytics architecture. Data Ingestion Benefits Data ingestion has numerous benefits for any organization as it enables a business to make better decisions, deliver improved customer service, and create superior products. In other words, the data ingestion process helps a business gain a better understan...
Read more