Cloudera

JANUARY 30, 2024

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. The post Achieving Trusted AI in Manufacturing appeared first on Cloudera Blog.

Manufacturing 79

Manufacturing Data Lake Data Science Cloud 79

FreshBI

SEPTEMBER 11, 2023

. ” In the continuously evolving field of data-driven insights, maintaining competitiveness relies not only on in-depth analysis but also on the rapid and precise development of reports. Power BI, Microsoft's cutting-edge business analytics solution, empowers users to visualize data and seamlessly distribute insights.

BI 59

BI Consulting Datasets Data Ingestion 59

Databand.ai

AUGUST 30, 2023

Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality. There are several types of data testing tools. In this article: Why Are Data Testing Tools Important?

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

DataKitchen

FEBRUARY 21, 2023

are more efficient in prioritizing data delivery demands.” Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.” This is the equivalent advice for data teams provided to software teams in the classic “Mythical Man Month.”

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

LinkedIn Engineering

DECEMBER 20, 2023

This blog post delves into the AutoML framework for LinkedIn’s content abuse detection platform and its role in improving and fortifying content moderation systems at LinkedIn. Automated Machine Learning (AutoML) refers to a framework or platform that automates the entire machine learning process. What is AutoML?

Machine Learning 90

Machine Learning Datasets Algorithm Architecture 90

Cloudera

OCTOBER 11, 2021

The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x.

Data Engineering 92

Data Engineering Data Engineer Cloud Engineering 92

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 83

Engineering Raw Data Data Science Scala 83

Scott Logic

APRIL 22, 2024

It’s been around since 2017, and we don’t intend to go into a full review of its features here—only a month ago, Mike Morgan and Steve Conway from our Leeds office published a comparative review of three cloud BI solutions, including QuickSight here on the Scott Logic blog. Generative BI? Have Amazon succeeded?

BI 97

BI Software Engineer Software Engineering Algorithm 97

Precisely

FEBRUARY 12, 2024

For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years. As an ad hoc process, it also lacks the necessary structure and discipline to deliver consistent results.

Data Governance 62

Data Governance Government Telecommunication Machine Learning 62

Monte Carlo

JANUARY 16, 2024

As every company becomes a data company, and more users within these companies are discovering new uses for previously unavailable data, existing infrastructure and tools are not just meeting that demand but creating new demands. At the center of it all is the data warehouse, the lynchpin of any modern data stack.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

Cloudera

MARCH 31, 2021

In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka). Data Preparation (Apache Spark and Apache Hive) . You could then use an existing pipeline to run analytics on the prepared data in BigQuery. .

Google Cloud 92

Google Cloud Cloud Amazon Web Services Cloud Storage 92

DataKitchen

JULY 27, 2023

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure.

Data Pipeline 52

Data Pipeline BI Machine Learning Data Preparation 52

Cloudera

APRIL 10, 2021

When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. While model training on small data can typically take minutes, doing the same on large volumes of data can take hours or even weeks.

Machine Learning 63

Machine Learning Data Science Deep Learning Utilities 63

Snowflake

JUNE 28, 2023

At this year’s Summit, we are excited to announce a series of advancements to Snowpark runtimes and libraries, making the deployment and processing of non-SQL code in Snowflake even simpler, faster, and more secure. Snowpark — Set of libraries and runtimes for secure deployment and processing of non-SQL code on the Snowflake Data Cloud.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Pinterest Engineering

JUNE 13, 2023

Currently the loss weight for each task is equal, but during the data preparation stage, we apply various weight adjustments so that each training example is properly represented in the loss function. user annotations from different sources such as search queries, board, etc.) To explore life at Pinterest, visit our Careers page.

Software Engineer 84

Software Engineer Software Engineering Utilities Architecture 84

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MAY 9, 2024

According to Glassdoor, the average annual pay of a data scientist is USD 126,683. In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? They manage data storage and the ETL process.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

RandomTrees

FEBRUARY 6, 2024

Modernization in Data Engineering with GenAI Generation: The Art of Data Creation: Generative AI has emerged as a potent tool for creating synthetic datasets. Generative AI corrects data imbalances, ensuring fair sentiment analysis on e-commerce platforms, enriches training data for natural language processing (NLP) tasks.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

DECEMBER 7, 2023

In this blog, I'll define the AI project life cycle and walk you through the steps, tools, and significance of the AI model lifecycle management process. To comprehend the process from conception to production, let's dive into these steps. Data Preparation Tools: Tools like Pandas and NumPy are essential for data preprocessing.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

Cloudera

FEBRUARY 8, 2023

How Bad is Bad Code: The ROI of Fixing Broken Spark Code Once in a while I stumble upon Spark code that looks like it has been written by a Java developer and it never fails to make me wince because it is a missed opportunity to write elegant and efficient code: it is verbose, difficult to read, and full of distributed processing anti-patterns.

Java 57

Java Datasets Coding Python 57

Snowflake

MARCH 28, 2023

To keep pace with competition and capture the vast potential of sensor data, manufacturers small and large are looking to modernize their legacy data management infrastructure and processes, as well as scale their data science teams. To learn more about ingesting data into Snowflake, see this previous blog.

Manufacturing 52

Manufacturing Entertainment Transportation Insurance 52

U-Next

SEPTEMBER 7, 2022

To provide meaningful business insights, it collects and manages data from a variety of sources. An electronic database consists of a large amount of information that can be queried and analyzed rather than processed for transactions. In other words, it is the process of converting data into information. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

JUNE 16, 2023

We all have witnessed how Deep learning has emerged as one of the most promising domains of artificial intelligence, enabling machines to process, analyze and draw insights from vast amounts of data. You can enroll in a Data Science Certified course to learn in depth about these tools. Keep reading to know more.

Deep Learning 52

Deep Learning BI Machine Learning Data Science 52

Knowledge Hut

NOVEMBER 19, 2023

In this blog, we will explore the career paths of Artificial intelligence and what skills are most important to consider while taking this journey. Algorithms, data preparation and model evaluations. Job Titles That Follow: An engineer in computer vision, image processing specialist and visual intelligence developer.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Edureka

DECEMBER 12, 2023

A business analyst is a professional who assists in business processes, products, and services. They will analyze and evaluate the problem and opportunities to develop solutions through software data analysis for the organization to meet its objectives and maintain close relationships with stakeholders to meet the requirements.

Business Analyst 40

Business Analyst Consulting NoSQL Manufacturing 40

AltexSoft

MAY 12, 2021

Computer vision is a subset of artificial intelligence that focuses on processing and understanding visual data. Its ultimate goal is to make machines distinguish objects as living beings do, by simulating the processes of human perception. Computer vision requires plenty of quality data, diverse in gender, race, and geography.

Medical 72

Medical Healthcare Datasets Machine Learning 72

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

DECEMBER 17, 2020

While it’s important to have the in-house data science expertise and the ML experts on-hand to build and test models, the reality is that the actual data science work — and the machine learning models themselves — are only one part of the broader enterprise machine learning puzzle.

Machine Learning 81

Machine Learning Data Science Data Pipeline Raw Data 81

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Knowledge Hut

NOVEMBER 27, 2023

A data scientist’s job needs loads of exploratory data research and analysis on a daily basis with the help of various tools like Python, SQL, R, and Matlab. This role is an amalgamation of art and science that requires a good amount of prototyping, programming and mocking up of data to obtain novel outcomes.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

U-Next

JUNE 29, 2022

Data must be consumed from many sources, translated and stored, and then processed before being presented understandably. However, the benefits might be game-changing: a well-designed big data pipeline can significantly differentiate a company. Preparing data for analysis is known as extract, transform and load (ETL).

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

Rockset

SEPTEMBER 14, 2021

Rockset indexes the entire data stream so when new fields are added, they are immediately exposed and made queryable using SQL. We’ve also enabled the ingest of historical and real-time streams so that customers can access a 360 view of their data, a common real-time analytics use case.

Kafka 52

Kafka SQL MongoDB Computer Science 52

AltexSoft

SEPTEMBER 13, 2023

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” It points out the critical role that data quality plays in the outcomes you get from these algorithms. Watch our video about data preparation for ML tasks to learn more about this.

Engineering 59

Engineering Hospitality Transportation Algorithm 59

Rockset

FEBRUARY 24, 2022

I’ll focus on the use of events to help understand, analyze and diagnose problems using various OLAP databases and AWS Kinesis data streams. AWS Kinesis Kinesis is Amazon’s solution for collecting and processing streaming data in real time. Kinesis Data Analytics allows teams to process streaming data in real-time.

AWS 52

AWS Amazon Web Services Kafka SQL 52

Knowledge Hut

APRIL 25, 2023

Data engineering tools are software applications that help data engineers manage and process large and complex data sets. Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Let’s take a look: 1.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Picnic Engineering

MAY 23, 2023

However, when it comes to natural language processing (NLP) tasks such as text classification, are these models also the best option? As data scientists, we figured out the best way to answer this question is by benchmarking new technologies and comparing them with traditional approaches.

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72