Cloudera

JULY 18, 2023

In the realm of big data analytics, Hive has been a trusted companion for summarizing, querying, and analyzing huge and disparate datasets. But let’s face it, navigating the world of any SQL engine is a daunting task, and Hive is no exception. Are there any baselines for various metrics about my query?

Systems Review 72

Systems Review Metrics Trends Performance 72

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Often, no technologies are involved in data analysis. Analytics maturity model.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 88

Enterprise Cloud Data Machine Learning 88

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Hacker Earth Developers Blog

JUNE 26, 2019

Also, the candidate should have knowledge of the different metrics used to evaluate the performance of a model. . The candidate should have a basic understanding of business or the industry in which he is applying as a data scientist. Testing data science skills within a shorter time frame using Data Science questions.

Data 200

Data How To Recruiting Machine Learning 200

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. The ELT workflow. Flexibility.

Tools 52

Tools Software Review Systems Review Testing 52

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Netflix Tech

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Machine Learning 83

Machine Learning Artificial Inteligence Culture Analysis 83

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. 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. High availability and fault tolerance.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Netflix Tech

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 87

Infrastructure Data Technical Review Systems Review 87

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Hacker Earth Developers Blog

JUNE 26, 2019

Also, the candidate should have knowledge of the different metrics used to evaluate the performance of a model. . The candidate should have a basic understanding of business or the industry in which he is applying as a data scientist. Testing data science skills within a shorter time frame using Data Science questions.

Data 100

Data How To Recruiting Machine Learning 100

Altexsoft

NOVEMBER 9, 2021

If you use a separate RFI (Request for information), RFP (Request for Proposal), or RFQ (Request for Quote) platform, you’ll have to integrate it with your ERP or procurement system to collect the necessary supplier data. Price analysis dashboard by Sievo with opportunities overview. Cost analysis. Procurement metrics and KPIs.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

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

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. 60 Minutes to Better Product Metrics , July 10. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Kentik

DECEMBER 5, 2016

Ad-hoc data analysis answers key questions in real time. In a recent blog post by Kentik Solutions Engineer Eric Graham we explained how we “dog food” our own NPM solution to troubleshoot network performance issues within our own cloud-based application. How does it work?

Network 40

Network Performance Metrics Software Review 40

Altexsoft

AUGUST 4, 2021

Data mart vs data warehouse vs data lake architectures. Data marts shouldn’t be confused with OLAP cubes either. An OLAP or Online Analytical Processing cube is the tool used to represent data for analysis in a multidimensional way. For example, a company has a data mart containing all the financial data.

Data 64

Data Analytics Construction Cloud 64

Mobilunity

DECEMBER 21, 2022

Data scientists specialize in a variety of tasks that can benefit businesses in different ways. Some of the most noteworthy services they offer include: Data Science and Big Data Consulting. Big data engineer experts review existing data architecture, explore data sources, and analyze data lakes.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Altexsoft

MAY 27, 2020

Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements. Reasonably, with the access to data, anyone with a computer can train a machine learning model today. Orchestration.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

Altexsoft

AUGUST 21, 2019

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

Development 44

Development Software Engineering Data Engineering Architecture 44

Cloudera

MAY 22, 2018

Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis. track model metrics, performance, and any model artifacts the user specifies. for the Oracle Big Data Appliance).

Data 41

Data Load Balancer Machine Learning Artificial Inteligence 41

Altexsoft

FEBRUARY 22, 2022

Integration with a business intelligence tool is important to receive a holistic analysis of your maintenance processes, track costs, visualize trends, and get actionable insights. Integration with a fuel management system allows for sharing fuel consumption data. It’s an awful lot of data, so it has to be processed with special tools.

Software Review 52

Software Review Technical Review Software Technology 52

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. It has since gone on to become a key technology for running many web-scale services and products, and has also landed in traditional enterprise and government IT organizations for solving big data problems in finance, demographics, intelligence, and more.

Big Data 40

Big Data Analytics Network Architecture 40

Kentik

MAY 31, 2017

It’s high time to move away from this legacy paradigm to a unified, scalable, real-time solution built on the power of big data. Some tools present insights gleaned from the collection of device metrics while others use network flows. Other tools gain insight through analysis of packet data, and so on.

Network 40

Network Tools Big Data Metrics 40

Altexsoft

NOVEMBER 5, 2021

The stage involves activities related to data quality management , data integration , support for healthcare data standards , and optimum information flow design. Data analysis, transformation, and decision support revolve around deriving knowledge and insights critical for enhancing patient care.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Kentik

SEPTEMBER 24, 2015

Working at Kentik allows me to apply those experiences at a startup with an exceptionally compelling story: Kentik is rewriting the rules of network visibility with a cloud service driven by big data technology. As the volume of network metric data grows exponentially, the inadequacy of these prior approaches has become obvious.

Network 40

Network Cloud Big Data Policies 40

Kentik

JUNE 19, 2017

In this post we’ll look at why flows are sampled and explore how visibility is impacted by the rate at which total flows are sampled to collect flow records for monitoring and analysis. To do so, we’ll add a two-dimension filter in Data Explorer, the Kentik Detect portal’s primary ad hoc query environment. Sampling: What and Why.

Testing 40

Testing Network Windows Big Data 40

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Types of metadata. There are multiple ways to categorize metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Kentik

FEBRUARY 13, 2017

This project took a feed of DNS data and performed a streaming analysis of flow data. Another fun project utilized kFlow (Kentik’s internal flow-data protocol) to send measurements from an Intel Arduino board and GPIO-connected temperature sensor to the Kentik Data Engine (KDE), our distributed big data backend.

3D 40

3D Conference Engineering Policies 40

O'Reilly Media - Ideas

JANUARY 25, 2022

So while we can discuss whether Answers usage is in line with other services, it’s difficult to talk about trends with so little data, and it’s impossible to do a year-over-year comparison. Our approach to Answers was to do a simple “bag of words” analysis: count the number of times each word was used in all Answers queries.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Currently, it helps businesses with anomaly and fraud detection , pricing and sales management, planning and scheduling, research and analysis, and other tasks.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Altexsoft

OCTOBER 3, 2019

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. People analytics is the analysis of employee-related data using tools and metrics. Dashboard with key metrics on recruiting, workforce composition, diversity, wellbeing, business impact, and learning.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

AUGUST 19, 2022

That’s why any business in any industry can benefit from using the platform – from small mom-and-pop style ones that only need data visualization and basic reporting to enterprise corporations that process large masses of data across multiple departments. Plus, there are tons of customization opportunities. ML capabilities.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

BPM

JANUARY 18, 2019

Process mining will be incorporated into larger suites of professional business process analysis tools. This will aid the faster creation of baseline models, enabling analysis and process improvement. Fine grained-process metrics will be used more strategically to lay the foundation for IPA prediction machines. 2019, oh my!

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

AWS Machine Learning - AI

JANUARY 26, 2024

He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. Ram Vittal is a Principal ML Solutions Architect at AWS.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

ParkMyCloud

JANUARY 17, 2020

Can deploy and define metrics, monitoring and logging systems on AWS. . AWS Certified Big Data – Speciality. For individuals who perform complex Big Data analyses and have at least two years of experience using AWS. Implement core AWS Big Data services according to basic architecture best practices.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. Klipfolio: Klipfolio is designed to enable users to access and combine data from hundreds of services without writing any code.

Data 296

Data Analytics Travel Business Intelligence 296