TechCrunch

JANUARY 26, 2022

It plans to use the money to continue investing in its technology stack, to step up with more business development, and to hire more talent for its team, to meet what it believes are changing tides in the world of data warehousing. We change the discussion from one of scale to one of speed and efficiency.”.

Analytics 218

Analytics Data Big Data Business Intelligence 218

TechCrunch

DECEMBER 9, 2020

An alumni of Silicon Valley accelerator Y Combinator and backed by LocalGlobe , Dataform had set out to help data-rich companies draw insights from the data stored in their data warehouses. Mining data for insights and business intelligence typically requires a team of data engineers and analysts.

Google Cloud 242

Google Cloud Data Operating System Business Intelligence 242

CIO

JUNE 6, 2023

On the other hand, a business that needs efficiency to scale may be better served by a central team that provides functions like data governance, platform engineering, architecture, and data engineering to all areas of the business. Heavily regulated industries tend to centralize.

Data 130

Data Analytics Government Culture 130

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

JANUARY 10, 2023

Hot: Casting a wide net Rizwan says innovative thinking around hiring new staff from outside technology fields is on the rise, especially if the prospective hires have experience turning a profit. Recruiters in the technology space have started to consider and hire IT staff who come from traditional industries,” Rizwan says.

Trends 329

Trends Recruiting Culture Quality Assurance 329

CIO

NOVEMBER 9, 2022

But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities. “It Users have freedom to slice and dice the data without technical know-how,” he says.

Analytics 342

Analytics Metrics Government Business Intelligence 342

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 87

Big Data Technology Tools Cloud 87

TechCrunch

MAY 26, 2022

He’s the founder of Manta , a data lineage platform that automatically scans an organization’s data sources to build a map of data flows. “Data-driven decisions can only be as good as the quality of the underlying data sets and analysis. Image Credits: Manta.

Data 228

Data Weak Development Team Enterprise Analysis 228

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

InfoQ Culture Methods

JULY 17, 2020

Innovation is not only about the most advanced technology, management and processes are the new era of startups' innovation. To mix the power of the data and the importance of people to offer business intelligence is a key point nowadays. The result is not only the most imporant thing, the way you do it more important.

Agile 141

Agile Innovation Culture Business Intelligence 141

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

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

Big Data 52

Big Data Data Development Business Intelligence 52

O'Reilly Media - Ideas

JANUARY 29, 2019

In 2018, we decided to run a follow-up survey to determine whether companies’ machine learning (ML) and AI initiatives are sustainable—the results of which are in our recently published report, “ Evolving Data Infrastructure.”. Data scientists and data engineers are in demand.

Sustainability 86

Sustainability Company Machine Learning Artificial Inteligence 86

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

InnovationM

MAY 14, 2023

Introduction As someone who has hands-on experience in constructing and leveraging data lakes, I can attest to the transformative power these repositories hold for organizations grappling with vast amounts of data. Metadata management tools ensure a clear understanding of the data landscape and enhance data stewardship practices.

Data 52

Data Storage Construction Business Intelligence 52

TechCrunch

MARCH 22, 2021

Berlin-based y42 (formerly known as Datos Intelligence), a data warehouse-centric business intelligence service that promises to give businesses access to an enterprise-level data stack that’s as simple to use as a spreadsheet, today announced that it has raised a $2.9

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

TechCrunch

DECEMBER 16, 2020

It stems from us seeing the explosive growth of the data warehouse space, both in terms of technology advancements as well as like accessibility and adoption. […] Our goal is to be seen as the company that makes the warehouse not just for analytics but for these operational use cases.”

Data 251

Data B2C Analytics Big Data 251

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

Hacker Earth Developers Blog

JUNE 26, 2019

Provide recommendations : Using data to form predictive models for companies to better understand their target customers; e-commerce companies use this to recommend products based on buying behavior and also monitor stock levels in warehouses. These business insights play an important role in the decision-making process of any organization.

Data 200

Data How To Recruiting Machine Learning 200

Altexsoft

APRIL 22, 2020

Processing data systematically requires a dedicated ecosystem called data pipeline : a set of technologies that form a specific environment where data is obtained, stored, processed, and queried. So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Hu's Place - HitachiVantara

JUNE 5, 2019

.” In the last half of last year we applied DataOps to consolidate our enterprise reporting systems into one data lake. 32 data domain owners from governance, pricing, services, procurement, partners, sales, marketing, supply planning and IT were involved. Business owners reported immediate benefits from this implementation.

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

Lacework

NOVEMBER 1, 2023

In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference. This local parsing involves identifying and either removing or masking any user identifiable information. A mart is a group of aggregated tables (e.g.,

System Design 52

System Design Systems Review System Data 52

Datavail

MARCH 31, 2022

Your company can retain and grow its value into new economic opportunities by successfully adapting its business models to embrace evolving consumer and industry demands. Today’s thriving companies are embracing emerging data analytics programs to upgrade their business modeling technology from systems maintenance to value creation.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Strategy 52

Apiumhub

AUGUST 12, 2021

Code Europe serves as a platform for the exchange of best practices and experiences between enthusiasts and world-class experts of the new technology industry. Usually working on Java/Java EE and Spring technologies, but with focused interests like Rich Internet Applications, Testing, CI/CD and DevOps. Currently working for Hazelcast.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. 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.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Capgemini

NOVEMBER 14, 2022

Data has to be easy to find, understand, access, and use for everyone in the chain: data engineers, analysts, data scientists, and business users. It makes the data more accessible and understandable to everyone, especially less-skilled data consumers. A data catalog for trust. Myles Suer.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Hacker Earth Developers Blog

JUNE 26, 2019

Provide recommendations : Using data to form predictive models for companies to better understand their target customers; e-commerce companies use this to recommend products based on buying behavior and also monitor stock levels in warehouses. These business insights play an important role in the decision-making process of any organization.

Data 100

Data How To Recruiting Machine Learning 100

Altexsoft

APRIL 13, 2023

Source: Supply Chain Dive Over the last few years, global supply chains have been so severely disrupted – but also enhanced with cutting-edge technologies. Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JUNE 14, 2021

Their technology works by scanning the market, looking for discounted and lowered prices of insurance premiums for their clients. Cover blends automation, mobile technology, and expert advice to provide customers with high-quality insurance protection at the best prices. You’ll need a data engineering team for that.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Conclusion.

Data 84

Data Analytics Cloud Technical Review 84

Strategy Driven

FEBRUARY 4, 2021

A good sales intelligence software must be able to merge with other sales software, business intelligence, and analytics or data management solutions. Adapt gives users access to business contacts to build competent leads and interact with new customers faster. Datanyze focuses on website technology.

Software 34

Software B2B Analytics Business Intelligence 34

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

OpenCredo

JULY 13, 2018

We were asked to iron out some of the creases in a new Data Producer platform involving one of the Data Consumer pipelines (let’s call it Project Datatron). At first it looked like a fairly straightforward data engineering problem. We were introduced to the relevant Consumer, namely the Business Data team.

Architecture 40

Architecture Fractional CTO CTO Coach Engineering 40

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Users can easily create a wide range of data-intensive, yet intelligible reports and dashboards and share obtained insights. What is Power used for?

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We For Guadagno, the need to match vaccine availability with patient demand came at the right moment, technologically speaking. Enter the data lakehouse. You can intuitively query the data from the data lake.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

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. What makes CDW unique and cost attractive?

Data 98

Data Technical Review Storage Systems Review 98

OpenCredo

JULY 31, 2018

Who are the people in the organisation best placed to make use of Data in this way, discovering or generating insights to advise the business? Typically, these will be Business Intelligence analysts, Data Scientists, and Machine Learning Engineers.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Data Artificial Intelligence 40