Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Delta Lake added transaction support to the data in a lake.

Data 90

Data Analytics Open Source Architecture 90

O'Reilly Media - Data

APRIL 3, 2018

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

TIBCO - Connected Intelligence

DECEMBER 16, 2020

Imagine you’re a data engineer at a Fortune 1000 company. Your company has thousands of databases and 14,000 business intelligence users. You use data virtualization to create data views, configure security, and share data. One: Streaming Data Virtualization. All this data is in motion.

Virtualization 64

Virtualization Data Data Engineering Quality Assurance 64

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Architecture 52

Architecture Data Storage Machine Learning 52

Capgemini

NOVEMBER 14, 2022

But this requires data accessibility for every worker. Let’s look at how to best deliver the potential of self-service BI, demonstrating how an innovative business-centric catalog puts data at the fingertips of decision makers. And they also need to trust that the data is current, relevant, and available.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Copyright © 2021 Accenture. All rights reserved.

Data 80

Data Analytics Cloud Technical Review 80

Kentik

JULY 18, 2016

Access to rich data matters in part because it enables insights that can make routine tasks far faster and more accurate. But information can also power innovation — not just seemingly unattainable innovation with a capital “I,” like flying cars, but also continuous incremental improvement in the operation of a digital business.

Big Data 40

Big Data Network Analytics Data 40

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

Kentik

MAY 23, 2017

Imagine a big data time-series datastore that unifies traffic flow records (NetFlow, sFlow, IPFIX) with related data such as BGP routing, GeoIP, network performance, and DNS logs, that retains unsummarized data for months, and that has the compute and storage power to answer ad hoc queries across billions of data points in a couple of seconds.

Network 40

Network Open Source Big Data Load Balancer 40

Cloudera

DECEMBER 10, 2020

Some data warehousing solutions such as appliances and engineered systems have attempted to overcome these problems, but with limited success. . Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape.

Data 98

Data Technical Review Storage Systems Review 98

Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. Procurement is a set of operations related to finding, acquiring, and paying for goods and supplies for business needs. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). But the current data lakehouse architectural pattern is not enough.

Data 84

Data Analytics Machine Learning Artificial Inteligence 84

Datavail

JUNE 15, 2023

The Microsoft Fabric announcement at Microsoft Build 2023 has caused quite a stir in the data and analytics world. Microsoft Fabric is an all-in-one analytics solution that brings together seven Azure services on a shared SaaS foundation, in a unified experience combined with AI.

Azure 52

Azure Analytics Storage Generative AI 52

CIO

AUGUST 5, 2022

The project is filled with innovative data visualizations. Some of the most popular include the following: Domo: Domo is a cloud software company that specializes in business intelligence tools and data visualization. Sisense: Sisense is an end-to-end analytics platform best known for embedded analytics.

Data 303

Data Analytics Travel Business Intelligence 303

CIO

APRIL 4, 2023

All organizations need an optimized, future-proofed data architecture to move AI forward. Complexity slows innovation Data growth is skyrocketing. Layered on top of that are the different types of data stored in various siloes and locations throughout an organization. MB every second. A zettabyte has 21 zeroes.

Architecture 130

Architecture Data Analysis Construction 130

TIBCO - Connected Intelligence

DECEMBER 20, 2021

Given the wealth of enhancements and new products TIBCO has announced this year, we want to offer a recap of 2021 innovations to the TIBCO Connected Intelligence platform. The Connect Portfolio’s Multiple Innovations Spark Growth and Industry Recognition from Four Analysts.

Innovation 26

Innovation Analytics Virtualization Cloud 26

TechCrunch

JUNE 17, 2021

The big breakthrough that Transform has made is that it’s built a metrics engine that a company can apply to its structured data — a tool similar to what Big Tech companies have built for their own use, but that hasn’t really been created (at least until now) for others who are not those Big Tech companies to use, too.

Metrics 247

Metrics Tools Data Big Data 247

Cloudera

NOVEMBER 19, 2020

Too often, though, legacy systems cannot deliver the needed speed and scalability to make these analytic defenses usable across disparate sources and systems. For many agencies, 80 percent of the work in support of anomaly detection and fraud prevention goes into routine tasks around data management. Fraudulent Activity Detection.

Government 115

Government Artificial Inteligence Machine Learning Data 115

ParkMyCloud

MAY 29, 2019

The cloud jobs that are available in the market today are a result of employer demand to drive innovation and are paramount for new business applications and services to the end-user. Business Intelligence Analyst. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

JANUARY 14, 2021

It is usually created and used primarily for data reporting and analysis purposes. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. Architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Traditional data warehouse platform architecture. Data lake architecture example. Poor data quality, reliability, and integrity.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

OCTOBER 8, 2021

But here’s the thing, even though you receive all customer data you need, it exists in a bunch of disjointed sources such as CRMs, customer-facing apps, websites, and others. With data integration, you have all information available in a single interface resulting in more efficient, faster querying and analytics. Suitable for.

Tools 52

Tools Data Software Review Open Source 52

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 8

Conference Data Data Engineering Artificial Inteligence 8

Datavail

MARCH 10, 2022

According to Gartner, only 20 percent of analytics insights will deliver business results through 2022. In other words, 80 percent of companies’ Big Data projects will fail and/or not deliver results. There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame.

Government 40

Government Strategy Weak Development Team Company 40

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

CIO

MAY 11, 2023

We leverage artificial intelligence, machine learning, and analytics to offer a hyperpersonalized, immersive, and entertaining gameplay experience to our users at every stage of their gaming journey in real-time. This platform is built and managed by our own data engineering team.

Games 173

Games Artificial Inteligence Data Artificial Intelligence 173

Apiumhub

APRIL 8, 2021

Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. As the director of Advertisement, he works to help data-driven businesses be more successful. Marcus Borba is a Big Data, analytics, and data science consultant and advisor.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

TechCrunch

SEPTEMBER 15, 2021

The company currently has “hundreds” of large enterprise customers, including Western Union, FOX, Sony, Slack, National Grid, Peet’s Coffee and Cisco for projects ranging from business intelligence and visualization through to artificial intelligence and machine learning applications.

Artificial Inteligence 234

Artificial Inteligence Data Artificial Intelligence Weak Development Team 234

Cloudera

MARCH 2, 2021

Streaming analytics is crucial to modern business – it opens up new product opportunities and creates massive operational efficiencies. However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. A rare breed. What do you mean by democratizing?

Data 111

Data Weak Development Team Data Engineering Scalability 111

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

TIBCO - Connected Intelligence

SEPTEMBER 29, 2021

Day three of TIBCO NOW left attendees feeling inspired to innovate, encourage diversity and inclusion, and fuel data-driven decision-making across digital businesses. TIBCO CEO Dan Streetman kicked the day off with his keynote address, speaking on the importance of data in solving the world’s most pressing challenges.

Data 49

Data Artificial Inteligence Energy Artificial Intelligence 49