Architecture Data Engineering Knowledge Base Scalability 
Kentik
APRIL 3, 2018
Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends. This allows non-technical stakeholders from product, marketing, sales, management, and executives to understand the data and gain insight in terms that are relevant to their roles. The Big Picture.
Altexsoft
SEPTEMBER 9, 2022
Today, such modern data management frameworks as DataOps strongly rely on effective metadata capture and management to bring order into the chaotic data flows. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. Ensure its scalability and integrability.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Cloudera
DECEMBER 20, 2023
Founding AI ecosystem partners | NVIDIA, AWS, Pinecone NVIDIA | Specialized Hardware Highlights: Currently, NVIDIA GPUs are already available in Cloudera Data Platform (CDP), allowing Cloudera customers to get eight times the performance on data engineering workloads at less than 50 percent incremental cost relative to modern CPU-only alternatives.
Altexsoft
MARCH 16, 2021
In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.
Altexsoft
MARCH 30, 2023
What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.
Expert insights. Personalized for you.
40 
Let's personalize your content