TechCrunch

APRIL 6, 2022

Ascend.io , a company developing data automation products for enterprise customers, has raised $31 million in a Series B round led by Tiger Global with participation from Shasta Ventures and existing investor Accel, it announced today. There’s no denying that the pandemic bolstered the adoption of AI and analytics technologies.

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Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks.

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Weak Development Team Big Data Data Artificial Inteligence 52

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. Kafka advantages.

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Weak Development Team Technical Review Systems Review Software Review 93

Erik Bernhardsson

JULY 22, 2021

That sounds bad! Specialization is probably driven a lot by bad tools. We have come a long way, but I still see people wasting way too much time debugging YAML, waiting for deployments, or begging the SRE team for help. And what I also see to some extent is a bit of an entitlement attitude in some developers.

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Weak Development Team Data Tools Engineering 151

TechCrunch

MAY 18, 2022

. “Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. ” Software developers Malyuk, Maxim Tkachenko, and Nikolay Lyubimov co-founded Heartex in 2019.

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Open Source Weak Development Team Artificial Inteligence Data 203

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

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Weak Development Team Technical Review Software Review Systems Review 52

CIO

FEBRUARY 14, 2023

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events. report they have established a data culture 26.5%

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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. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., What is Power used for? Power BI products. Power BI products.

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Weak Development Team Data Azure Analytics 52

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.

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Business Intelligence Analytics Analysis Data 87

Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

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Big Data Analytics Tools Applications 78

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. The main idea of any data warehouse (DW) is to integrate data from multiple disjointed sources (e.g.,

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Weak Development Team Data Storage Technical Review 59

Altexsoft

SEPTEMBER 28, 2021

web development, data analysis. Source: Python Developers Survey 2020 Results. This distinguishes Python from domain-specific languages like HTML and CSS limited to web design or SQL created for accessing data in relational database management systems. many others. How Python is used. Object-oriented. Dynamic semantics.

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Weak Development Team Programming Software Review Systems Review 94

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. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.

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Analytics Software Review Systems Review Technical Review 52

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it.

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Data Data Engineering Big Data Architecture 87

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

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Data Artificial Inteligence Machine Learning Weak Development Team 90

Cloudera

MARCH 10, 2022

We surveyed some of the most inspiring female leaders in data from across our global customers to find out how bias has affected their careers and how they believe we can break the cycle. . It’s not all bad news. For Jinsoo Jang, NW Big Data Engineering Team Leader at LG Uplus, it is about breaking a historical cycle.

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Data Weak Development Team Big Data Energy 119

O'Reilly Media - Ideas

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

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Marketing Weak Development Team Metrics UI/UX 145

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.

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Government Strategy Weak Development Team Company 40

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

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Technical Review Software Review Analytics Systems Review 59

Altexsoft

JUNE 11, 2021

Process analytics takes place. Here, KPIs can be created and monitored to uncover potential improvement areas, data mining and/or ML algorithms can be used to detect hidden patterns and dependencies, or conformance checking techniques can be applied to compare the process to a certain ideal model. The vendor’s invoice is received.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

FEBRUARY 22, 2022

Predictive maintenance (PdM) involves constant monitoring of your equipment condition and conducting repairs only when bad trends are detected – but before breakdowns occur. Reporting and analytics is essential to obtain a bird eye view of your fleet and make data-based decisions. Work orders dashboard in Fleet Maintenance Pro.

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Software Review Technical Review Software Technology 52

O'Reilly Media - Ideas

MARCH 31, 2020

You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. Why AI software development is different. AI products are automated systems that collect and learn from data to make user-facing decisions.

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Product Management Artificial Inteligence Machine Learning Software Review 138

Altexsoft

JULY 23, 2020

The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps lies at the confluence of ML, data engineering, and DevOps. Data validation.

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Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

MARCH 2, 2023

The specific data governance model that an organization adopts depends on various factors, such as its size, complexity, industry, and regulatory environment. Data governance models with pros and cons. Benefits include improved representation, better data, increased efficiency, and shared maintenance. sales specialists).

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Government Tools Data Weak Development Team 52

TIBCO - Connected Intelligence

APRIL 22, 2021

The primary driver behind data’s growth is business’ reliance on data as fuel for analytical insight. Some analytic tools query data efficiently. As organizations like yours become more data-dependent, your business users team with IT to address your most critical data-driven business opportunities.

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Sustainability Virtualization Data Energy 46

Confluent

FEBRUARY 22, 2019

The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices. Franz was conceived as a strongly typed, interoperable data stream for inter-service communication. The team began investigating the range of encoding formats that would suit Deliveroo’s requirements.

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Data Software Review Weak Development Team Systems Review 79

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Types of metadata. There are multiple ways to categorize metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

SEPTEMBER 23, 2019

There’s a large variety of analytical activities when we’re talking about software development. In this article, we’ll explain what business analysis in software development is and the role of a business analyst (BA) within this process. Who is a Business Analyst in Software Development? Planning development activities.

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Weak Development Team Software Development Research Project Management 62

O'Reilly Media - Ideas

MARCH 1, 2023

Now developers are using AI to write software. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Practices like the use of code repositories and continuous testing are still spreading to both new developers and older IT departments.

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Trends Technical Review Technology Software Review 135

O'Reilly Media - Data

MARCH 22, 2018

Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., Interpreting high-dimensional MNIST data by visualizing in 3D using PCA for building domain knowledge using TensorFlow.

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O'Reilly Media - Ideas

FEBRUARY 11, 2020

Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Comparatively few organizations have created dedicated data quality teams. This is hardly surprising.

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Weak Development Team Data Technical Review Survey 127

Altexsoft

OCTOBER 8, 2021

What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. The good news is, businesses can choose the path of data integration to make the most out of the available information. Cloud-based data integration tools. Data loading. That’s a lot of work.

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Tools Data Software Review Open Source 52

TIBCO - Connected Intelligence

JUNE 16, 2021

Knowing your customers, what they already have, what they like, and how they want to engage lets you provide data-driven, personalized offers that are sure to delight. One bad experience can put your relationship at risk. Like every enterprise today, our clients know that data is critical to everything they do with their customers.

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Data Weak Development Team Virtualization Compliance 29

BPM

JANUARY 18, 2019

So BPM is today another form of low-code application development. At Red Hat, we're focused on delivering the next generation of development platforms for modern cloud-native applications, and our BPM and decision management technology is a central part of that strategy. All of them virtually not true. Phil Simpson Red Hat [link].

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Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Cloudera

DECEMBER 10, 2020

Data warehouses have been broadly adopted to provide timely reports and valuable insights. They require skilled central IT teams to tackle technical complexities and long lead times in planning, procuring, and provisioning. In a multi-tenant environment, many users access the same data sources. CDW minimizes contention.

Data 98

Data Technical Review Storage Systems Review 98

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. Data lake architecture example. Poor data quality, reliability, and integrity. Issues with data security and governance.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Altexsoft

JUNE 6, 2019

Forrester Consulting discovered that poor checkout experience and long lines are the third highest reason grocers would skip the line and shop in a different place. Let’s travel overseas and check out how Chinese tech giants have been developing in the same field. data is analyzed. JD.com’s chain of unmanned stores.

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Artificial Inteligence Artificial Intelligence Retail Innovation 89