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 ). Why integrate Apache Iceberg with Cloudera Data Platform?

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. A rare breed. What do you mean by democratizing?

Data 112

Data Weak Development Team Data Engineering Scalability 112

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

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

Datavail

JUNE 15, 2023

The Microsoft Fabric platform includes: Power BI : The Microsoft business intelligence tool that’s a mainstay for many organizations, infused with a generative AI copilot for business analysts and business users. Data Factory : A data integration tool with 150+ connectors to cloud and on-premises data sources.

Azure 52

Azure Analytics Storage Generative AI 52

Apiumhub

APRIL 8, 2021

Borba has been named a top Big Data and data science influencer and expert several times. He has also been named a top influencer in machine learning, artificial intelligence (AI), business intelligence (BI), and digital transformation. Jen Stirrup is a top influencer in Big Data and Business Intelligence.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

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. The cloud native table format was open sourced into Apache Iceberg by its creators.

Data 94

Data Analytics Open Source Architecture 94

ParkMyCloud

MAY 29, 2019

Anecdotally, many organizations we talk to share that getting and keeping talent on board is a challenge as they seek to evolve their use of cloud services. 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.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Capgemini

NOVEMBER 14, 2022

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. Businesses must recreate that connection virtually, especially where data is concerned. Everything moves faster. Today, it’s unacceptable.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Altexsoft

DECEMBER 9, 2020

Some famous ones are: Gartner ’s Maturity Model for Data and Analytics, DELTA Plus by Tom Davenport, DAMM – Data Analytics Maturity Model for Associations, SAS Analytic Maturity Scorecard, and many more. Hard to believe, but even now there are businesses that do not use technology and manage their operations with pen-and-paper.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

NOVEMBER 19, 2020

The Association of Certified Fraud Examiners reports the use of artificial intelligence and machine learning in anti-fraud programs is expected to almost triple in the next two years. Open source software likewise helps to future-proof the platform, ensuring government agencies will always be on the cutting edge of innovation. .

Government 119

Government Artificial Inteligence Machine Learning Data 119

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

Apiumhub

AUGUST 12, 2021

Gema Parreño Piqueras – Lead Data Science @ApiumHub is among them! Mohamed Taman – Chief Solutions Architect @Effortel Chief Solutions Architect @Effortel, CEO @SiriusX Innovations d.o.o, Also, he serves as the Program Director for Data science/Data Engineering Educational Program at Skillbox.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

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

Datavail

MARCH 10, 2022

There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame. This article discusses the importance of solid data governance implementation plans and why, despite its obvious benefits, many organizations find data governance implementation to be challenging.

Government 40

Government Strategy Weak Development Team Company 40

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

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

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. Aniruddha Ray, Data Capability and Innovation Lead, ATCI.

Data 82

Data Analytics Cloud Technical Review 82

Kentik

MAY 23, 2017

Given the advanced capabilities provided by cloud and big data technology, there’s no longer any justification for legacy monitoring appliances that summarize away all the details and force operators to swivel between siloed tools. Note that the above use cases cover network performance monitoring, planning, and business intelligence.

Network 40

Network Open Source Big Data Load Balancer 40

Kentik

JULY 18, 2016

According to the Times , the heritage organization Historic England called the find “‘unparalleled in recent years,’ in part because the remains of the villa, with its outbuildings, were so undisturbed.” Data-driven insights can boost user satisfaction, make a business more competitive, and increase profits.

Big Data 40

Big Data Network Analytics Data 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

OCTOBER 8, 2021

To drive deeper business insights and greater revenues, organizations — whether they are big or small — need quality data. But more often than not data is scattered across a myriad of disparate platforms, databases, and file systems. Data with errors can be then corrected, recycled, or accepted. Suitable for.

Tools 52

Tools Data Software Review Open Source 52

Strategy Driven

AUGUST 27, 2015

It may seem an obscure data management distinction, but this shift toward collecting unstructured data – which is a large part of what Big Data is all about – is sending shock waves across traditional organizations.

Big Data 33

Big Data Data Storage Journal 33

CIO

APRIL 4, 2023

Operationalizing AI at scale mandates that your full suite of data–structured, unstructured and semi-structured get organized and architected in a way that makes it useable, readily accessible and secure. Despite these AI-powered examples, businesses have only just begun to embrace AI, with an estimated 12% fully using AI technology.

Architecture 130

Architecture Data Analysis Construction 130

Altexsoft

NOVEMBER 9, 2021

It’s usually used to adjust existing predictions within fast-changing markets such as innovative technology. Accurate forecasting is a foundation of intelligent planning and budgeting. To succeed, you have to be able to forecast consumer behavior, price changes, impact of innovations, and so on. Extract data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Abhishek Tiwari

JULY 20, 2019

ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc. They exist to get a product or large feature shipped.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

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

CIO

MAY 11, 2023

What’s your strategy for democratizing and managing data? Bansal: For any data-driven organization like us, the consistent and reliable flow of data across people, teams, systems, and business functions is crucial to an organization’s survival and ability to innovate.

Games 173

Games Artificial Inteligence Data Artificial Intelligence 173