TechCrunch

JUNE 1, 2022

All of this is a huge task and is very much in need by the kinds of technology-heavy customers that Coralogix — and others that it competes with such as Datadog, Splunk, New Relic, Microsoft — target. He believes that investors are interested in the company for a few reasons.

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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

TechCrunch

MARCH 9, 2022

As organizations continue to build out their digital architecture, a new category of enterprise software has emerged to help them manage that process. The longer-term goal is to build more predictive analytics and modeling tools that leverage the “digital twin” that Ardoq builds of a network.

Architecture 246

Architecture Enterprise Network Organization 246

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread.

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Datavail

OCTOBER 18, 2022

You can’t have superior “Business Intelligence” (BI) without excellent data retrieval, organization, and management. Despite BI being the popular buzzword these days, too many companies fail to invest in the data discovery pipelines needed to generate that analytical data. What happened? What went wrong?

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TechCrunch

APRIL 6, 2022

There’s no denying that the pandemic bolstered the adoption of AI and analytics technologies. The rapid changes brought on by the health crises forced businesses to adapt practically overnight, accelerating the rollout of new products. Of course, the benefits haven’t been evenly distributed.

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Data Technical Cofounder Weak Development Team Data Engineering 230

CIO

JULY 26, 2023

While the Denver-based company’s cloud transformation long preceded Ligon’s arrival, with various business units adopting AWS and the IT team already developing cloud-native applications, in hiring Ligon, Re/Max’s top brass decided to “bring it all under control” of its first CIO. minutes from the moment the property is listed.

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Datavail

AUGUST 4, 2021

Moving analytics to the cloud is now a best practice for companies of all sizes and industries. According to a 2020 survey by MicroStrategy , 47 percent of organizations have already moved their analytics platform into the cloud, while another 42 percent have a hybrid cloud/on-premises analytics solution. Don’t rush into things.

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AWS Technical Review Analytics Development Team Review 98

Datavail

JULY 27, 2021

Whether you’re a tiny startup or a massive Fortune 500 firm, cloud analytics has become a business best practice. A 2018 survey by MicroStrategy found that 39 percent of organizations are now running their analytics in the cloud, while another 45 percent are using analytics both in the cloud and on-premises.

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Azure Analytics Cloud Company 98

Cloudera

OCTOBER 30, 2023

Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. Technology, finance, and operations collaborate to bring financial accountability to cloud spend.

Analytics 74

Analytics Cloud Technical Review Resources 74

Altexsoft

AUGUST 12, 2020

A door automatically opens, a coffee machine starts grounding beans to make a perfect cup of espresso while you receive analytical reports based on fresh data from sensors miles away. This article describes IoT through its architecture, layer to layer. The standardized architectural model proposed by IoT industry leaders.

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IoT Architecture Wireless Transportation 140

Mentormate

MARCH 21, 2018

With such sophisticated tools, there is the temptation to focus solely on what they can deliver — better business intelligence and analytics. But what’s needed to deliver these things — clean data — is often an afterthought and a company’s first mistake in pursuing optimal business intelligence and analytics.

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Business Intelligence Analytics Data Technical Review 49

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. used for analytical purposes to understand how our business is running. What is OLAP: Online Analytical Processing. Analytical interface.

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TechCrunch

DECEMBER 10, 2021

and analytical background related to data,” as well as the consulting expertise for startups that he provides. We have helped startups at pre-seed stage to create prototypes and guide their technology development plans. In fact, I have served as interim chief technology officer (CTO) for three startups.

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Weak Development Team Software Development Software Review Fractional CTO 255

CIO

JUNE 5, 2023

Research from Accenture shows that 48% of companies say technology-enabled sustainability initiatives lead to more competitive products and enhanced customer service, and contribute to attracting top talent—all of which help drive increased revenues.

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CIO

JUNE 6, 2023

CIO.com’s 2023 State of the CIO research found that data science/analytics is one of the top three tech-related skills CIOs are trying to hire – and 22% said it’s one of the three most difficult to fill. I’ll partner when my business asks for data products outside my wheelhouse,” he says. “If

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Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10.

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CIO

APRIL 4, 2024

Like other CIOs, Katrina Redmond has been inundated with opportunities to deploy AI that promise to speed business and operations processes, and optimize workflows. We need to continue to be mindful of business outcomes and apply use cases that make sense.” On-time delivery has improved substantially,” she says.

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Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

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Altexsoft

JULY 19, 2022

No matter how ridiculous it may sound, the famous quote is applicable to the technology world in many ways. In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. What data mesh is and is not.

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Architecture Data Analytics Data Engineering 52

CIO

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. Siloed data: Data has a way of becoming siloed and segmented over time, especially as lines of business or other functions develop new data sources, apply new technologies, and the like.

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Government Data Technical Review Policies 357

Datavail

JUNE 30, 2021

Business intelligence and analytics are often the most complex area of a company’s IT environment. The Case for a Cloud-Based Analytics Solution. Analytics solutions of the past are reactive and do not provide real-time information. On-Premises vs. Cloud Analytics.

Analytics 52

Analytics Cloud Business Intelligence Infrastructure 52

Altexsoft

SEPTEMBER 23, 2021

Yet, more than often, businesses can’t make use of their most valuable asset — information. Because it is scattered across disparate systems, hardly available for analytical apps. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. What is Data Hub?

Architecture 52

Architecture Data Storage IoT 52

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? But like any technology, it has its share of pros and cons. To help her, Banon developed a search engine for her recipe collection.

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Weak Development Team Analytics Engineering Development Team Review 52

RapidValue

JUNE 26, 2020

Analytics is all about meaningful information at your fingertips. Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Leveraging OAC & OADW for Agile Analytics.

Analytics 72

Analytics Cloud Technical Review Data 72

Altexsoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. Traditional data warehouse platform architecture. Data lake architecture example. What is a data lakehouse? Data warehouse.

Architecture 52

Architecture Data Storage Machine Learning 52

CIO

FEBRUARY 13, 2023

The economy may be looking uncertain, but technology continues to drive the business and CIOs are investing big in 2023. At the same time, they are defunding technologies that no longer contribute to business strategy or growth.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

MAY 10, 2023

With headquarters in Boston and over 2,700 employees worldwide, Novanta is an $800 million global supplier of laser photonics, precision motion control, and vision technologies. On a positive mentality: Transformations aren’t just technology driven, they’re people and process driven.

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TechCrunch

OCTOBER 27, 2022

Bringing the company’s total raised to $24 million, the capital will be put toward scaling Cinchy’s outreach and continuing to invest in the startup’s core technology, CEO Dan DeMers told TechCrunch in an interview. Jaswal was also at Citi, working on the data warehouse team on risk and margin.

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Data Compliance Survey Banking 202

TechCrunch

DECEMBER 9, 2020

For many organizations, the shift to cloud computing has played out more realistically as a shift to hybrid architectures, where a company’s data is just as likely to reside in one of a number of clouds as it might in an on-premise deployment, in a data warehouse or in a data lake. This is not just a problem at Sisense.

Data 253

Data Big Data Analytics Enterprise 253

CIO

DECEMBER 20, 2023

But care also has a strong value proposition with exciting and innovative technology investment. My team looks after digital transformation, cybersecurity, project delivery, help desk application, and infrastructure support, data and analytics.” So we look at it across people, process, and technology.

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Technical Review Systems Review Nonprofit Education 130

CIO

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.

Business Intelligence 363

Business Intelligence Business Analytics Analytics Analysis 363

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. Headless BI refers to using BI tools and technologies without a front-end user interface. If you’re new to this concept, don’t worry! Happy data analyzing!

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How To Scalability Analytics Google Cloud 52

TechCrunch

MAY 3, 2022

Databases are growing at an exponential rate these days, and so when it comes to real-time data observability, organizations are often fighting a losing battle if they try to run analytics or any observability process in a centralized way. “Our special sauce is in this distributed mesh network of agents,” Unlu said.

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Data Artificial Inteligence Lambda Analytics 192

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Big Data Technologies and Architectures.

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