Cloudera

NOVEMBER 2, 2020

Sometimes you know that there is always a time element to the data events and to the analysis, and you know in advance the types of queries your users will run. You can take this knowledge and build a RTDW that is specialized for Time Series and Event Analytics. Flexible, scalable query engine for EDW. Data Hub – .

Data 97

Data Analytics Storage Big Data 97

O'Reilly Media - Ideas

JUNE 5, 2019

Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12.

Course 69

Course Training Artificial Inteligence Software Review 69

Altexsoft

FEBRUARY 8, 2021

Depending on the complexity of your data architecture, consider hiring a business analyst , data engineer , or a team of data scientists to manage your company’s data in a most efficient way. Only with such a holistic approach to data, you can build a prosperous business.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

NOVEMBER 23, 2021

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. Identify your consumers.

Virtualization 69

Virtualization Tools Data Architecture 69

O'Reilly Media - Ideas

MARCH 1, 2023

Decomposing a complex monolith into a complex set of microservices is a challenging task and certainly one that can’t be underestimated: developers are trading one kind of complexity for another in the hope of achieving increased flexibility and scalability long-term. Data engineering was the dominant topic by far, growing 35% year over year.

Trends 144

Trends Technical Review Technology Software Review 144

Cloudera

FEBRUARY 22, 2021

This category describes the unique ability of CDP to accelerate deployment of use cases (and, as a result, the associated business value) by: . without integration delays or having to deal with fragmented data silos that result in operational inefficiencies. .

Data 82

Data Analytics Government Technical Review 82

Xebia

JANUARY 24, 2025

Databricks is a powerful Data + AI platform that enables companies to efficiently build data pipelines, perform large-scale analytics, and deploy machine learning models. This configuration balances scalability and performance , ensuring optimal use of resources during both listing and deletion phases.

Storage 130

Storage Travel Azure Cloud 130

CIO

APRIL 8, 2025

We also examine how centralized, hybrid and decentralized data architectures support scalable, trustworthy ecosystems. As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant.

Weak Development Team 88

Weak Development Team Technical Review Technical Advisors Systems Review 88