Striim

FEBRUARY 10, 2023

According to a recent study by KX, US businesses could see a total revenue uplift of $2.6 trillion through investment in real-time data analytics. From telecommunication to retail, businesses are harnessing the power of data analytics to optimize operations and drive growth.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 52

Cloudera

AUGUST 6, 2021

At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. In the first of two blog posts, we delve into customer analytics to examine where data makes a difference in delivering an exceptional customer experience. .

Consulting 104

Consulting Cloud Data Machine Learning 104

Edureka

SEPTEMBER 11, 2023

Statistical Foundations Underlying Technologies Timeline of Evolution Types of Generative AI Examples in Real-World Applications The Negative: Drawbacks of Generative AI Case Study : Using Generative AI to Simplify Digital Marketing Content Production Conclusion What is Generative AI? Table of Contents What is Generative AI?

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

Netflix Tech

MARCH 2, 2021

Stephanie Lane , Wenjing Zheng , Mihir Tendulkar Source credit: Netflix Within the rapid expansion of data-related roles in the last decade, the title Data Scientist has emerged as an umbrella term for myriad skills and areas of business focus. What does this title mean within a given company, or even within a given industry?

Data Science 83

Data Science Machine Learning Entertainment Algorithm 83

ProjectPro

APRIL 17, 2015

Big data companies are closely watching the latest trends in big data analytics to gain competitive advantage with the use of data. Businesses are wading into the big data trends as they do not want to take the risk of being left behind. IDC also forecasts that Big Data Analytics market will outpour from $3.2

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

APRIL 29, 2015

Organizations are struggling hard to hire competent hadoop talent as they want to be assured that the people they hire have the ability to handle huge amounts of data effectively to derive business insights. However, experts predict a major shortage of advanced analytics skills over the next few years.

Hadoop 40

Hadoop Certification IT Big Data 40

Data Engineering Podcast

JANUARY 8, 2023

Part of this complexity is due to the transformation and orchestration of data living in disparate systems. In this episode Ori Rafael explains how they are automating the creation and scheduling of orchestration flows and their related transforations in a unified SQL interface. Struggling with broken pipelines? Stale dashboards?

PostgreSQL 130

PostgreSQL Data Lake Data Warehouse BI 130

ProjectPro

FEBRUARY 24, 2016

How much does a data scientist make? If such questions pique your interest, you are on the right page. Data Science Salary How to Negotiate Your First Data Scientist Salary? What’s the average data scientist salary in 2023? Do data scientists make a lot of money?

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

Knowledge Hut

DECEMBER 26, 2023

As technology is evolving rapidly today, both Predictive Analytics and Machine Learning are imbibed in most business operations and have proved to be quite integral. Sharpen your skills with these online Data Science courses and learn to tackle complex Data Science problems. What is PyTorch ? What is TensorFlow ?

Deep Learning 98

Deep Learning Python Machine Learning Programming Language 98

Precisely

OCTOBER 5, 2023

How much data is your business generating each day? According to the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, 77% of data and analytics professionals say data-driven decision-making is the top goal of their data programs.

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

Precisely

FEBRUARY 5, 2024

However, manual material data management often comes with many errors and great risks for your business. Automation can be a game-changer – solving your biggest challenges and unlocking new opportunities. Automation can be a game-changer – solving your biggest challenges and unlocking new opportunities. The good news?

Manufacturing 59

Manufacturing Retail Government Food 59

ProjectPro

JANUARY 24, 2023

They have developed a product called "SiteEye," which uses cameras and machine learning to monitor construction sites in real-time to detect and alert workers about potential hazards. They were able to use SageMaker's pre-built algorithms and libraries to quickly and easily train their ML models and then deploy them to the edge (i.e.,

Building 52

Building Algorithm Machine Learning AWS 52

Cloudera

JANUARY 17, 2021

The last two years have seen remarkable acceleration of digital transformation in a whole host of segments. Considering most bookstores were only open for a limited time this year, the vast majority were placed via online ordering. Most blogs in my history are very focused on Industry 4.0’s By 2025, Industry 4.0 By 2025, Industry 4.0

Database-centric 66

Database-centric Manufacturing Retail Food 66

AltexSoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. How data engineering works in a nutshell.

Big Data 52

Big Data Data Process Process Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

The Internet has made it possible for people and businesses to collaborate in new ways. As a business owner, you can be unsure whether to employ blockchain technology or stay away from it. Every time the data is transferred from one blockchain node to another, it is verified. It prevents abuse or repression by any one party.

Technology 52

Technology Food Manufacturing Banking 52

Ascend.io

MAY 19, 2023

The modern data stack promised a vessel with cutting-edge navigation tools to sail smoothly through this ocean. It’s time for an upgrade. As we discuss in detail in The Modern Data Stack Landscape: How Did We Get Here and Why Is It So Challenging? , Can you relate to this feeling of being adrift in a sea of complexity?

Data Pipeline 52

Data Pipeline Data Engineering Data Engineer Media 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works. Gartner is a market leader in market research.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

DECEMBER 10, 2021

It will provide you with a good sense of what areas you should focus on as you prepare for your next Azure interview. How many cloud service roles are provided by Azure? Ace Your Next Job Interview with Mock Interviews from Experts to Improve Your Skills and Boost Confidence! So, let's dive right into it!

BI 52

BI Cloud Computing SQL Database 52

Monte Carlo

AUGUST 15, 2023

Imagine you’ve been building houses with a hammer and nails for most of your career, and I gave you a nail gun. And while this analogy isn’t a perfect encapsulation of how some data teams operate after moving from on-premises to a modern data stack, it’s close. IMAGE COURTESY OF SHANE MURRAY. Let’s dive in.

Data Storage 88

Data Storage Cloud Metadata Media 88

Towards Data Science

AUGUST 15, 2023

Photo by Massimo Botturi on Unsplash Imagine you’ve been building houses with a hammer and nails for most of your career, and I gave you a nail gun. And while this analogy isn’t a perfect encapsulation of how some data teams operate after moving from on-premises to a modern data stack, it’s close. Take advantage of it. Let’s dive in.

Cloud 84

Cloud Metadata Media Machine Learning 84

Monte Carlo

AUGUST 15, 2023

Imagine you’ve been building houses with a hammer and nails for most of your career, and I gave you a nail gun. And while this analogy isn’t a perfect encapsulation of how some data teams operate after moving from on-premises to a modern data stack, it’s close. Image courtesy of Shane Murray. Let’s dive in.

Cloud 69

Cloud Metadata Media Machine Learning 69

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a.

Kafka 88

Kafka Manufacturing Data Lake SQL 88

phData: Data Engineering

JULY 18, 2023

Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes. In this ideal world, your company no longer has to rely on gut decisions, important business questions are accurately answered from a simple glance at a dashboard. Why Migrate to a Modern Data Stack?

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Monte Carlo

MAY 17, 2023

Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. Profile Data Save Time 18. Validate Data 17.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. Profile data Save Time 18. Validate data 17.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

Knowledge Hut

FEBRUARY 28, 2024

From the moment we wake up in the morning till we go back to sleep, our lives run on data. It is almost like we are living deep inside the matrix and have no idea how to get out. Big data has enabled us to accelerate growth and development and reach a new phase for humanity. What is Big Data?

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

Rockset

FEBRUARY 17, 2022

It’s the start of 2022 and a great time to look ahead and think about what changes we can expect in the coming months. In 2022, data discovery, knowledge graphs, and data observability will be critical when it comes to abiding by SLAs and maintaining a pulse on the health of data for both real-time and batch processing infrastructures.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52