Running Big Data Jobs with data in your Data Lake

Data Lake

Data lakes are popular because they provide a consolidated, centralized storage area for raw, unstructured, semi-structured, and structured data taken from multiple sources and lacking a predefined schema. They specialize in ingesting structured, semi-structured and unstructured data and provide mechanisms to easily ingest streaming data in addition to batch loads. Data lakes are open format so users avoid lock-in to a proprietary system like a data warehouse. They are also highly durable and low cost because of their ability to scale and leverage object storage.

Big Data

Big data refers to data that is so large, fast or complex that it's difficult or impossible to process using traditional methods. It can be a combination of structured, semi-structured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications. Big data technology deals with data storage that has the capability to fetch, store, and manage big data. It allows users to store the data so that it is convenient to access. Big data analytics helps companies leverage their data to identify opportunities for improvement and optimization. Across different business segments, increasing efficiency leads to overall more intelligent operations, higher profits, and satisfied customers.
With the growing popularity of both data lakes for storage and big data for compute workloads, it is unsurprising that many organizations are seeking to run big data jobs with data in their data lake. Kaspian offers native connectors for the most popular data lakes. Just register your data lake as a Datastore and link your Big Data job; Kaspian's autoscaling compute layer makes it easy to crunch through any data in your cloud with minimal setup or management.
Learn more about Kaspian and see how our flexible compute layer for the modern data cloud is already reshaping the way companies in industries like retail, manufacturing and logistics are thinking about data engineering and analytics.

Get started today

No credit card needed