Datavail

JUNE 8, 2023

Attendees were able to explore solutions and strategies to help them unlock the power of their data and turn it into actionable insights. The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

O'Reilly Media - Ideas

JUNE 5, 2019

Business Applications of Blockchain , July 17. Ken Blanchard on Leading at a Higher Level: 4 Keys to Creating a High Performing Organization , June 13. Engineering Mentorship , June 24. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Performance Goals for Growth , July 31.

Course 69

Course Training Artificial Inteligence Software Review 69

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: . Cloudera Data Catalog (part of SDX) replaces data governance tools to facilitate centralized data governance (data cataloging, data searching / lineage, tracking of data issues etc. ).

Data 82

Data Analytics Government Technical Review 82

Cloudera

NOVEMBER 2, 2020

Data processing and analytics drive their entire business. So they needed a data warehouse that could keep up with the scale of modern big data systems , but provide the semantics and query performance of a traditional relational database. Do not require updates to data. Data Hub – .

Data 97

Data Analytics Storage Big Data 97

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. This AMP benchmarks multiple state of the art algorithms, with a front end for comparing their performance. Deep Learning for Image Analysis.

Machine Learning 84

Machine Learning Artificial Inteligence Enterprise Telecommunications 84

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

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. Self-service capabilities for all business users.

Virtualization 69

Virtualization Tools Data Architecture 69

O'Reilly Media - Ideas

MARCH 1, 2023

Distributed systems require designing software that can run effectively in these environments: software that’s reliable, that stays up even when some servers or networks go down, and where there are as few performance bottlenecks as possible. Data engineering was the dominant topic by far, growing 35% year over year.

Trends 144

Trends Technical Review Technology Software Review 144

Kentik

SEPTEMBER 5, 2017

To briefly review, Interface Classification enables an organization to quickly and efficiently assign a Connectivity Type and Network Boundary value to every interface in the network, and to store those values in the Kentik Data Engine (KDE) records of each flow that is ingested by Kentik Detect. DESTINATION: Network Boundary.

Transportation 40

Transportation Network Analysis Groups 40

Apiumhub

APRIL 1, 2021

Business Analytics: The Science Of Data – Driven Decision Making by U Dinesh Kumar. Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners by Dursun Delen. The contents of this book are designed to help you use data to your advantage to enhance business outcomes.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

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. Nevertheless , storing vast amounts of data in Delta tables without regular maintenance can result in wasted storage space and inflated costs.

Storage 130

Storage Travel Azure Cloud 130

AWS Machine Learning - AI

APRIL 2, 2025

The goal of this blog post is to show you how a large language model (LLM) can be used to perform tasks that require multi-step dynamic reasoning and execution. These tools allow LLMs to perform specialized tasks such as retrieving real-time information, running code, browsing the web, or generating images.

Artificial Inteligence 96

Artificial Inteligence Machine Learning Analytics AWS 96

CIO

APRIL 8, 2025

Business units manipulate spreadsheets in isolation, each introducing their own version of truth. These arent just operational inefficiencies; they are barriers to scale, innovation and performance. Data stewardship drives ownership and embeds trust locally. Create cross-functional data councils. Each domain (e.g.,

Weak Development Team 88

Weak Development Team Technical Review Technical Advisors Systems Review 88