Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

The results are biased by the survey’s recipients (subscribers to O’Reilly’s Data & AI Newsletter ). Our audience is particularly strong in the software (20% of respondents), computer hardware (4%), and computer security (2%) industries—over 25% of the total. Average salary by data framework or platform.

Survey 145

Survey Data Technical Review Training 145

Altexsoft

DECEMBER 7, 2021

Note, that in our overview, we’ll focus on ETA calculations as the most crucial and prone to change due to the influence of external factors. The same as you use Waze or Google Maps when driving your car, most carriers use specialized software to plan their routes. The question is how to make their results as accurate as possible?

Artificial Inteligence 52

Artificial Inteligence How To Software Review Systems Review 52

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 104

Data Engineering Engineering Data Tools 104

Existek

JANUARY 11, 2022

It eliminated the need to get back to the traditional environment when teams struggled with complex and costly in-house hardware and software. . At some point, cloud computing has changed how to streamline business processes and deal with data in general. Looking for a comprehensive guide on SaaS development?

Azure 52

Azure AWS Cloud How To 52

Altexsoft

FEBRUARY 22, 2022

And breakdowns are just too expensive, especially at a fleet-wide scale (not to mention risking drivers’ lives, losses due to unfulfilled contracts and related downtime, and customer dissatisfaction). Data is gathered from connected sensors and analyzed so that predictions of possible failures can be generated.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

JUNE 6, 2019

A visitor, with an opened Amazon Go app, scans a QR code on a turnstile to enter a store (like at an airport to get on board) and picks up what they need. However, the cashierless store concept has been under pressure in the US due to a backlash against cashless systems. The company considers opening 3000 convenience stores by 2021.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. But AI is going to bring changes to almost every aspect of the software industry. This has been a strange year. What will those changes be?

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

Altexsoft

DECEMBER 4, 2020

Hardware and software become obsolete sooner than ever before. So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few.

Software Review 69

Software Review Software Data Technical Review 69

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. 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. An additional 7% are data engineers.

Weak Development Team 126

Weak Development Team Data Technical Review Survey 126

Altexsoft

SEPTEMBER 28, 2021

web development, data analysis. machine learning , DevOps and system administration, automated-testing, software prototyping, and. 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. Interpreted.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Altexsoft

NOVEMBER 9, 2021

Accounts payable are most vulnerable to errors (whether deliberate or not) due to disconnected and inaccurate information, especially if you have to deal with a big amount of documentation and process multiple transactions. The market is constantly changing due to a myriad of factors. Contract management to review and audit agreements.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

O'Reilly Media - Ideas

MARCH 1, 2023

In 2021, we saw that GPT-3 could write stories and even help people write software ; in 2022, ChatGPT showed that you can have conversations with an AI. Now developers are using AI to write software. A lot has happened in the past year. Total platform usage grew by 14.1% year over year, more than doubling the 6.2%

Trends 133

Trends Technical Review Technology Software Review 133

Kentik

MAY 31, 2023

For many enterprises, applications represent only a portion of a much larger reliability mandate, including offices, robotics, hardware, and IoT, and the complex networking, data, and observability infrastructure required to facilitate such a mandate. I wrote an article a while ago addressing latency.

Network 52

Network Cloud Load Balancer Firewall 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. Supply chain management process. Production performance dashboard example.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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. This doesn’t apply to cloud ETL, though.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

JANUARY 14, 2021

Though there are countless options for storing, analyzing, and indexing data, data warehouses have remained to the point. When reviewing BI tools , we described several data warehouse tools. In this article, we’ll take a closer look at the top cloud warehouse software, including Snowflake, BigQuery, and Redshift.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

JULY 29, 2022

What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop? Under the hood, the framework divides a chunk of Big Data into smaller, digestible parts and allocates them across multiple commodity machines to be processed in parallel. Apache Hadoop architecture. Hadoop ecosystem.

Big Data 59

Big Data Data Google Cloud Storage 59

TechCrunch

MAY 7, 2021

This is a result of fintechs being relatively new to the IPO scene compared to their consumer internet or enterprise software counterparts. This data contains excellent business insights and immense opportunities, but it has become impossible for companies to derive actionable insights from this data consistently due to its sheer volume.

Fintech 246

Fintech Windows Healthcare Analytics 246

Altexsoft

NOVEMBER 5, 2021

The use of free text to capture diagnoses, procedures, drug data , and other important details can lead to varying interpretations, which disrupt efficient treatment and proper insurance reimbursement. Medical codes. HI heavily relies on healthcare terminology standards or codes, representing core medical concepts.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. 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

Altexsoft

OCTOBER 8, 2021

With data integration, you have all information available in a single interface resulting in more efficient, faster querying and analytics. At the same time, you get rid of the “data silos” problem: When no team or department has a unified view of all data due to fragments being locked in separate databases with limited access.

Tools 52

Tools Data Software Review Open Source 52

Altexsoft

MARCH 18, 2021

The approach is possible thanks to the modern technologies that allow for storing and processing huge volumes of data in any format. This includes Apache Hadoop , an open-source software that was initially created to continuously ingest data from different sources, no matter its type. Stage 2 in ELT/ Stage 3 in ETL.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Cloudera

APRIL 9, 2021

In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. A recent Harvard Business Review study confirmed that data is increasingly being spread across data centres, private clouds and public clouds. Multiplatform.

Data 58

Data Software Review Technical Review Architecture 58

Cloudera

APRIL 22, 2021

With this tool, we were able to generate large amounts of data and certify Ozone on dense storage hardware. For data durability and availability, it is important that the file system should be quickly recovered from Hardware failures. Lower software licensing and support cost. Standard Benchmarks.

Data 101

Data Storage Architecture Big Data 101

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. By the type of deployment, data warehouses can be categorized into. What is Snowflake? Zero management.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

MARCH 16, 2021

So, what is Big Data, and what actually makes it Big? In short, this term relates to large amounts of data — both structured and unstructured — that are too voluminous or complex to be processed with traditional software tools. Let’s take a quick look at the big data infrastructure. Staffing problems.

Big Data 116

Big Data Healthcare Applications Data 116

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. Multi-language environment.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

OCTOBER 2, 2020

A data architect focuses on building a robust infrastructure so that data brings business value. Data modeling: creating useful and meaningful data entities. Data integration and interoperability: consolidating data into a single view. Snowflake data management processes. The platform includes.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

MAY 14, 2021

Veracity is the measure of how truthful, accurate, and reliable data is and what value it brings. Data can be incomplete, inconsistent, or noizy, decreasing the accuracy of the analytics process. Due to this, data veracity is commonly classified as good, bad, and undefined. Let’s take a closer look at these procedures.

Big Data 78

Big Data Analytics Tools Applications 78

O'Reilly Media - Ideas

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines. Takeaways.

Enterprise 131

Enterprise Survey Technical Review Weak Development Team 131

Altexsoft

OCTOBER 24, 2019

And this is what makes a data warehouse different from a Data Lake. Data Lakes are used to store unstructured data for analytical purposes. But unlike warehouses, data lakes are used more by data engineers/scientists to work with big sets of raw data. Subject-oriented data. Non-volatile.

Architecture 50

Architecture Enterprise Data Technical Review 50

Coforge

AUGUST 20, 2019

As a practitioner, what I have observed, is that ML projects adhere to the 90–90 rule (The first 90 percent of the code accounts for the first 90 percent of the development time. The remaining 10 percent of the code accounts for the other 90 percent of the development time). 3 Common Concerns around Production and Executions.

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

Altexsoft

DECEMBER 9, 2020

In many cases, there is even no desire to put effort and resources into developing analytical capabilities, mostly due to the lack of knowledge. Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

MAY 3, 2021

data is generated – at the Edge. In the last five years, there has been a meaningful investment in both Edge hardware compute power and software analytical capabilities. Real-time and time series data is growing 50% faster than static data forms and streaming analytics is projected to grow at a 34% CAGR.

Scalability 103

Scalability Agile Data Systems Review 103

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? For example, interest in security, after being steady for a few years, has suddenly jumped up, partly due to some spectacular ransomware attacks. What does that mean for the way software is designed and built?

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. 2019 will provide even more proof points.

Systems Review 72

Systems Review Storage System Software Review 72