Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Assemble the data team. Monitoring production performance.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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 lineage and discovery). .

Data 82

Data Analytics Government Technical Review 82

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

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. Launch a visual interface for question answering that supports BERT models and information retrieval methods. Analyzing News Headlines with SpaCy.

Artificial Inteligence 84

Artificial Inteligence Machine Learning Enterprise Telecommunications 84

Altexsoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Virtualization 69

Virtualization Tools Data Architecture 69

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. Optimizing Connectivity by Country.

Transportation 40

Transportation Network Analysis Groups 40

Apiumhub

APRIL 1, 2021

Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce, Andrew Bruce. This book gives you a good overview of all the concepts that you need to learn to master data science. Each of these concepts is explained well and there are examples along with an explanation of how the concepts are relevant in data science.

Artificial Inteligence 52

Artificial Inteligence Data Machine Learning Handbook 52

O'Reilly Media - Ideas

JANUARY 14, 2025

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

Trends 130

Trends Technology Security Artificial Inteligence 130

O'Reilly Media - Ideas

MARCH 1, 2023

RESTful APIs saw a smaller increase (6%); the momentum has clearly moved from the simplicity of REST to more complex APIs that use JSON, GraphQL, and other technologies to move information. Our platform data shows that the most important certifications were CISSP (Certified Information Systems Security Professional) and CompTIA Security+.

Trends 144

Trends Technical Review Technology Software Review 144

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 10

Conference Data Data Engineering Big Data 10

CIO

APRIL 8, 2025

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. Data lives across siloed systems ERP, CRM, cloud platforms, spreadsheets with little integration or consistency.

Weak Development Team 153

Weak Development Team Technical Review Technical Advisors Systems Review 153

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. For more detailed information and practical examples, please refer to the extensive delta documentation The light-weight version of VACUUM In Delta Lake 3.3.0

Storage 130

Storage Travel Azure Cloud 130

AWS Machine Learning - AI

APRIL 2, 2025

Traditionally, answering these queries required the expertise of business intelligence specialists and data engineers, often resulting in time-consuming processes and potential bottlenecks. We joined this result with the patient information to get the first and last name.

Artificial Inteligence 88

Artificial Inteligence Machine Learning Analytics AWS 88