Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. The key capabilities include ingesting data, preparing data, storing data, and publishing data, along with common security and governance capabilities across the data life cycle.

Manufacturing 79

Manufacturing Data Lake Data Science Cloud 79

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

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

LinkedIn Engineering

DECEMBER 13, 2022

In this blog post, we share more details on how LinkedIn performs observational causal inference at scale using our Ocelot platform. It aims to deliver estimates of causal relationships from observational data, along with robustness checks, to end users. Figure 2 shows the high-level design of the Ocelot platform.��

Data Preparation 55

Data Preparation Data Science Designing Data Pipeline 55

Precisely

DECEMBER 4, 2023

To answer the three fundamental questions outlined above, telecoms rely on business-friendly GIS to create a single view of the network that’s accessible, easily understood, and trusted by internal stakeholders to drive better, data-informed decisions. They also need a strong foundation of data science to underpin those efforts.

Telecommunication 62

Telecommunication Data Science Data Integration Data Preparation 62

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. It enables models to stay updated by automatically retraining on incrementally larger and more recent data with a pre-defined periodicity.

Machine Learning 90

Machine Learning Datasets Algorithm Architecture 90

Knowledge Hut

MAY 9, 2024

From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. According to Glassdoor, the average annual pay of a data scientist is USD 126,683. What is Data Science? They manage data storage and the ETL process.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Cloudera

DECEMBER 16, 2022

UDD works on any source and destination, even outside of Cloudera, making it very easy to integrate varied data sources. Only Cloudera includes integrated capabilities for the entire data lifecycle; data preparation to advanced analytics; and has automation built into all our data services.

Database 90

Database Cloud Systems Management 90

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. The first stage, "Design," establishes the project's foundation by defining goals, gathering and pre­paring data, selecting appropriate AI mode­ls, and creating a feasible plan.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

DataKitchen

JULY 27, 2023

Azure Synapse Analytics Pipelines: Azure Synapse Analytics (formerly SQL Data Warehouse) provides data exploration, data preparation, data management, and data warehousing capabilities. It provides data prep, management, and enterprise data warehousing tools. It does the job.

Data Pipeline 52

Data Pipeline BI Machine Learning Data Preparation 52

Knowledge Hut

JUNE 16, 2023

You can enroll in a Data Science Certified course to learn in depth about these tools. In this blog, we'll explore the 10 best deep learning tools you should master in 2023 to stay ahead of the curve and make the most of this exciting technology. Keep reading to know more. TensorFlow.js TensorFlow.js

Deep Learning 52

Deep Learning BI Machine Learning Data Science 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

Pinterest Engineering

JUNE 13, 2023

Specifically, we have designed deep neural network (DNN) models that deeply embed multi-task predictions for user outcomes. 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.

Software Engineer 84

Software Engineer Software Engineering Utilities Architecture 84

Cloudera

APRIL 10, 2021

CPUs and GPUs can be used in tandem for data engineering and data science workloads. A typical machine learning workflow involves data preparation, model training, model scoring, and model fitting. Here you can designate GPUs for your workspace. Name the workspace and select the Environment to use.

Machine Learning 63

Machine Learning Data Science Deep Learning Utilities 63

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. Big Data/Data Engineer Roles & Responsibilities: Big Data Engineers accumulate data, transform it, and provide accessibility as well as quality control.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Snowflake

MARCH 28, 2023

Product excellence efforts across all segments of manufacturing leverage sensor data for cost savings related to design for manufacturing and end-to-end quality management. Data from field tests bundled with digital testing reduces cycle times for product launches.

Manufacturing 52

Manufacturing Entertainment Transportation Insurance 52

U-Next

SEPTEMBER 7, 2022

What is Data Warehouse? . Built to make strategic use of data, a Data Warehouse is a combination of technologies and components. A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. The starburst. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. The algorithm was specifically designed to assist a small family hotel that belongs to Rakuten properties in forecasting ADRs and making informed decisions regarding starting room prices.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Snowflake

JUNE 28, 2023

Snowpark is our secure deployment and processing of non-SQL code, consisting of two layers: Familiar Client Side Libraries – Snowpark brings deeply integrated, DataFrame-style programming and OSS compatible APIs to the languages data practitioners like to use.

Python 52

Python Accessible Accessibility Pipeline-centric 52

AltexSoft

MAY 12, 2021

Otherwise, let’s proceed to the first and most fundamental step in building AI-fueled computer vision tools — data preparation. Computer vision requires plenty of quality data, diverse in gender, race, and geography. Source: AWS Machine Learning Blog. Medical image databases: abundant but hard to access.

Medical 72

Medical Healthcare Datasets Machine Learning 72

RandomTrees

FEBRUARY 6, 2024

Transformation: Shaping Data for the Future: LLMs facilitate standardizing date formats with precision and translation of complex organizational structures into logical database designs, streamline the definition of business rules, automate data cleansing, and propose the inclusion of external data for a more complete analytical view.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Picnic Engineering

MAY 23, 2023

At Picnic, we understand the importance of efficient and accurate customer service, which is why we’ve turned to natural language processing techniques to automate the classification of customer feedback as you can read in this and this blog post. However, there are also some drawbacks to using DistilBERT.

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72

Scott Logic

MARCH 25, 2024

In this blog we will look at three of the leading tools, Microsoft Power BI, Amazon Quicksight and Tableau. User Experience Power BI is a platform commonly used by Business Analysts ( read here ), but designed to be used by anyone. Our focus has been on tools for use on cloud platforms, with moderate levels of demand.

BI 52

BI Business Intelligence Cloud AWS 52

Edureka

DECEMBER 12, 2023

Innovation,DetailOriented Business Systems Analyst INR 9,78,494 Problem solving , Data analysis , Project Management Reporting Analyst INR 4,00,000 Data and information visualization, Critical thinking, Analytical reasoning. Business analysts are essential at various stages of the SDLC. Q-4 What is an INVEST?

Business Analyst 40

Business Analyst Consulting NoSQL Manufacturing 40

U-Next

JUNE 29, 2022

However, the benefits might be game-changing: a well-designed big data pipeline can significantly differentiate a company. In this blog, we’ll go over elements of big data , the big data environment as a whole, big data infrastructures, and some valuable tools for getting it all done.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Rockset

FEBRUARY 24, 2022

While this blog post won’t dive deeply into Kinesis’ capabilities, it’s worth quickly noting three: Kinesis Data Streams enable continuous capture of gigabytes of data per second from an enormous number of sources. Rockset You didn’t think you’d finish a Rockset blog post without hearing about Rockset, did you?

AWS 52

AWS Amazon Web Services Kafka SQL 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

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

AltexSoft

AUGUST 25, 2021

There are two main steps for preparing data for the machine to understand. Any ML project starts with data preparation. Originally designed for machine translation tasks, the attention mechanism worked as an interface between two neural networks, an encoder and decoder. Text annotation and formatting. Source: IBM.

Process 139

Process Deep Learning Datasets Machine Learning 139

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

DataKitchen

SEPTEMBER 20, 2021

Data professionals could do amazing things, but not while held back by bureaucratic processes. An organization is unlikely to surpass competitors and overcome obstacles while its highly trained data scientists are hand-executing data preparation, ingestion and other pipelines. . Designing for Collaboration.

Data Pipeline 98

Data Pipeline Data Cleanse Process Architecture 98

ProjectPro

JANUARY 31, 2023

However, collecting and annotating large amounts of data might not always be possible, and it is also expensive and time-consuming. Bid goodbye to worries related to such problems with this blog, as it covers an appropriate and effective solution to the problem of limited data available for training machine learning and deep learning models.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

AltexSoft

DECEMBER 15, 2021

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52