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

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

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The toy became the official logo of the technology, used by the major Internet players — such as Twitter, LinkedIn, eBay, and Amazon.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

TechCrunch

FEBRUARY 7, 2022

Prior to becoming CEO of Foursquare, Gary was MD of Raine, leading the technology practice with a focus on advisory assignments and principal investments in consumer internet, enterprise software and emerging technology. Contributor. Share on Twitter.

Business Intelligence 230

Business Intelligence AWS Sustainability Data Engineering 230

CIO

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems.

Analytics 309

Analytics Data Analysis Business Analytics 309

Altexsoft

DECEMBER 9, 2020

Moreover, the MicroStrategy Global Analytics Study reports that access to data is extremely limited, taking 60 percent of employees hours or even days to get the information they need. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes.

Analytics 102

Analytics Technical Review Technology Applications 102

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 349

Data Artificial Inteligence Technical Advisors Technical Review 349

Cloudera

JANUARY 3, 2018

In a big data world, we often see three new roles emerge and work more closely together: data engineers, data scientists and architects. The data engineering team is a strategic necessity as data itself is more agile. You can think of them as the data workhorse.

Big Data 40

Big Data Data Data Engineering Engineering 40

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

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

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.

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Artificial Inteligence Data Artificial Intelligence Weak Development Team 234

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Data enthusiast Carla Gentry is the owner of Analytical Solution.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

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

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

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

Altexsoft

APRIL 16, 2021

In this article, we’ll talk about such a solution —- Online Analytical Processing , or OLAP technology. Namely, we’ll explain what functions it can perform, and how to use it for data analysis. An overview of data warehouse types. What is data pipeline. OLTP vs OLAP: technology comparison. Data operations in OLAP.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

Big Data 33

Big Data Data Storage Journal 33

Altexsoft

FEBRUARY 22, 2022

Technological solutions to fleet maintenance. To support your preventive maintenance strategy, you have two technological options. Integration with inventory management software is necessary in case you hold a big stock of parts and equipment and want to be in control. So, what’s the alternative?

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

MARCH 18, 2021

It is the process of collecting raw data from disparate sources, transmitting it to a staging database for conversion, and loading prepared data into a unified destination system. As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Technology maturity.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

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

Exadel

AUGUST 26, 2020

Data Analytics for Better Business Intelligence. Data is king in the modern business world. Thanks to technology, collecting data from just about any aspect of a business is possible — including tracking customers’ activity, desires and frustrations while using a product or service.

Analytics 52

Analytics Data How To Machine Learning 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 200

Data How To Recruiting Machine Learning 200

Datavail

SEPTEMBER 8, 2022

Big data presents challenges in terms of volume, velocity, and variety—but that doesn’t mean you have to suffer from a bloated IT ecosystem to address these challenges. In fact, many businesses can realize significant advantages from streamlining their data integration pipelines, trimming away unnecessary tools and services.

Data 40

Data Nonprofit Quality Assurance Education 40

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. Business Intelligence Analyst. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. ELT vs ETL. Order of process phases.

Tools 52

Tools Software Review Systems Review Testing 52

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. Technology can help. Cloudera Data Platform (CDP) is a solution that integrates open-source tools with security and cloud compatibility. Fraudulent Activity Detection.

Government 117

Government Artificial Inteligence Machine Learning Data 117

Altexsoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. We ‘photoshop pictures’ instead of editing them on the computer.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. For this task, you need a dedicated specialist — a data engineer or ETL developer.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

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. Let’s elaborate on this and figure out how a data lakehouse is different from its ancestors and name inspirers in more detail. Data warehouse.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. Data warehousing in a nutshell. Modern data pipeline with Snowflake technology as its part.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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. ISPs can gain similar advantages by becoming far more data driven.

Network 40

Network Open Source Big Data Load Balancer 40

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible. Correlations across data domains, even if they are not traditionally stored together (e.g. Data Hub – . Data Hub – .

Data 94

Data Analytics Storage Big Data 94

Altexsoft

OCTOBER 2, 2020

Key disciplines and roles in data management. Data architecture: aligning technologies with business goals. Specialist responsible for the area: data architect. Data architecture is a starting point for any data management model. Data analytics and business intelligence: drawing insights from data.

Database Administration 64

Database Administration Strategy Data Technical Review 64

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

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.

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Industry Technical Advisors CTO Coach Azure 59