TechCrunch

SEPTEMBER 29, 2022

Their clients often encountered challenges in transforming data, Petrossian says, as well as documenting these transformations in a way that made intuitive sense. Moreover, 75% percent of data teams feel that outdated migration and maintenance processes are costing them productivity and capital.

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. For Cloudera this is a back to the future moment.

Data 106

Data Architecture Analytics Government 106

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

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. . Adriana Lika, Director, Big Data and BI at Telefonica Vivo faced many rounds of naysayers in order to get where she is today.

Data 113

Data Weak Development Team Big Data Energy 113

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

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Let’s look at what they say in recent surveys. However, the big drawback of such an approach is obviously its price and duration as it can last for years and cost a fortune.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Capgemini

NOVEMBER 14, 2022

Let’s look at how to best deliver the potential of self-service BI, demonstrating how an innovative business-centric catalog puts data at the fingertips of decision makers. For self-service BI to succeed, however, the entire data value chain may need to be fixed. Prior, he was responsible for Informatica’s Intelligent Data Platform.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Altexsoft

JULY 23, 2020

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. Data validation. Data preparation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Confluent

FEBRUARY 28, 2019

It would be very helpful for us, if you could help test the Kafka Connect Neo4j Sink in real-world Kafka and Neo4j settings, and fill out our feedback survey. Andrea loves open source and contributed to several big data projects, such as Apache Zeppelin, Cypher for Apache Spark and others for the Neo4j ecosystem.

Open Source 87

Open Source Testing Data System 87

Trigent

NOVEMBER 3, 2022

Experts unanimously agree data analytics is here to stay, considering 98% of 3PLs and 93% of shippers believe in having data-driven decision-making capabilities to manage supply chain activities. In comparison, 71% of 3PLs think process quality and performance can be significantly improved with the help of big data.

Analytics 52

Analytics Data IoT Trends 52

Coforge

AUGUST 31, 2020

The drastic shift from traditional and orthodox system frameworks and operations can be unarguably attributed to the influx of intelligent technologies such as Artificial Intelligence, Machine Learning, Big Data, Blockchain/DLT led smart contracts, and widespread usage of cloud systems. .

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

TechCrunch

AUGUST 16, 2022

A separate survey from Flexera found that optimizing the existing use of cloud services is a top initiative at 59% of companies — cost being the main motivation. . Sync recently released an API and “autotuner” for Spark on AWS EMR, Amazon’s cloud big data platform, and Databricks on AWS.

Resources 175

Resources Cloud AWS Engineering 175

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?

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

InfoQ Culture Methods

SEPTEMBER 6, 2019

Is it all about customer-centric business, or is there any data left? Can we integrate data analytics and customer empathy? This article explores how we can move towards a more customer-centric business and what information we require in order to understand the most valuable thing we have: our customer. By Almudena Rodriguez Pardo.

Analytics 66

Analytics Agile Data Big Data 66

Altexsoft

JUNE 26, 2023

All successful companies do it: constantly collect data. They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. No wonder only 0.5

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

DECEMBER 14, 2022

Also, Stack Overflow Developer Survey 2022 showed that Docker became a fundamental instrument for being a developer with 69 percent of professional programmers choosing it as their number one tool. Source: Stack Overflow Developer Survey 2022. According to the official Docker statistics, in 2021, its community was 15.4

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

NOVEMBER 9, 2021

Meanwhile, we’ll describe the process of turning raw data around you into actionable insights. But before we dive in, consider reading about data engineering to get an idea of the main concepts and stages. Watch our cool explainer about how to manage data and get business value. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

BPM

JANUARY 18, 2019

This fragmentation could deal a killer blow to the promise of large-scale adoption: A Gartner survey found 24% of respondents cited scaling RPA as their number one problem. As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

OCTOBER 3, 2019

In January 2018, The US Bureau of Labor Statistics conducted an employee tenure survey. Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. If you plan to consider data that candidates or current employees share on social media sites, add these portals in your list.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. According to the 2020 Kaggle State of ML and Data Science Survey , of all tech giants, only Google hit the top four most used AutoML frameworks.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Mobilunity

MAY 20, 2023

Data Engineer: Data engineers design, build, and manage a company’s data architecture. They handle big data and ensure it’s accessible for data scientists to analyze. They design the product’s interface and enhance user satisfaction by improving usability and ease of use.

Technical Review 52

Technical Review Fractional CTO CTO Artificial Inteligence 52

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” That’s certainly true of our audience as a whole.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

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

Altexsoft

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization. Data sources component in a modern data stack.

Data 59

Data Technical Review Software Review Artificial Inteligence 59