Hu's Place - HitachiVantara

MAY 10, 2019

We’ve all received that phone call from our credit card company asking if we made a purchase in some foreign city. However, in the rush to do this, many of these systems have been poorly architected to address the total analytics pipeline. This will require another product for data governance.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Mobilunity

NOVEMBER 24, 2021

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. In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays.

Development 52

Development Storage Recruiting Architecture 52

Xebia

JULY 28, 2023

Setup Azure Service Principal We want to avoid Access Tokens that are associated with a specific user as much as possible, this way things won’t break if someone leaves the company, or something else happens with the account. To make it possible, we will use Service Principals in the Databricks Workspace.

Cloud 130

Cloud Azure How To Windows 130

Cloudera

DECEMBER 21, 2020

In our data adventure we assume the following: . The company has previously created a business unit tenant in CDP Public Cloud. There is an environment available on either Azure or AWS, using the company AWS account – note: in this blog, all examples are in AWS. Company data exists in the data lake.

Data 97

Data Virtualization Banking Data Engineering 97

Altexsoft

JANUARY 14, 2021

Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. What is a data warehouse? A data warehouse is often abbreviated as DW or DWH. In many cases, a shared-disk architecture may be enough. Scalability opportunities.

Backup 115

Backup Azure Software Review Systems Review 115

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

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. Optimization opportunities offered by analytics.

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. Multiple BI tools require access to the same data sources.

Virtualization 69

Virtualization Tools Data Architecture 69

Cloudera

FEBRUARY 25, 2021

With almost all of the Fortune 500 and a majority of the Global 2000 relying on Cloudera for their most important data assets, Cloudera’s Machine Learning product (CML) is the way enterprises do ML. We work with the largest companies in the world to help tackle their most challenging ML problems.

Machine Learning 83

Machine Learning Artificial Inteligence Telecommunications Enterprise 83

O'Reilly Media - Ideas

MARCH 1, 2023

Companies are still “moving into the cloud”—that trend hasn’t changed—but as some move forward, others are pulling back (“repatriation”) or postponing projects. These practices are rarely taught in computer science programs, and many companies are just beginning to put them to use. But companies need to digest the complexity trade-off.

Trends 137

Trends Technical Review Technology Software Review 137

Cloudera

MAY 27, 2021

How do you avoid creating a technological loose cannon that can be used by racist groups to organize or cybercriminals to steal a senior citizen’s savings or a company’s closest-held secrets? Technology companies that are serious about ethics — and want to avoid pariah status — need to be accountable. Conscious Transparency.

Artificial Inteligence 117

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 117

Cloudera

NOVEMBER 2, 2020

The factors driving this trend are part technical, part business, and part cultural. On the technical side, it is cheaper and easier than ever to instrument everything and send that data in real-time through a messaging system. An AdTech company in the US provides processing, payment, and analytics services for digital advertisers.

Data 94

Data Analytics Storage Big Data 94

Apiumhub

APRIL 1, 2021

Business Analytics: The Science Of Data – Driven Decision Making by U Dinesh Kumar. It has a lot of basic and advanced techniques for classification, cluster analysis and also talks about the trends and on-going research in the field of data mining.In

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52