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

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Transform – moving data in a temporary storage known as a staging area.

Data 76

Data Storage Analytics Data Center 76

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Just a few notes on methodology: This report is based on O’Reilly’s internal “Units Viewed” metric. This has been a strange year.

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

Cloudera

FEBRUARY 25, 2021

AMPs move the starting line for any ML project by enabling data scientists to start with a full end-to-end project developed for a similar use case, including a trained and deployed ML model, as well as prebuilt predictive business applications, out of the box. Deep Learning for Image Analysis. MLflow for Experiment Tracking.

Machine Learning 82

Machine Learning Artificial Inteligence Telecommunications Enterprise 82

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

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

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

O'Reilly Media - Ideas

MAY 1, 2019

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. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems.

Systems Review 72

Systems Review Storage System Software Review 72

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

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. We use units viewed because it measures what people actually do on our platform. growth over 2021.

Trends 136

Trends Technical Review Technology Software Review 136

RapidValue

JULY 21, 2019

From DevOps to DataOps DataOps can be simply stated as “DevOps for data”. It is a set of practices and technologies that integrate the development and operation of data movement architectures into a continuous process. DataOps aids data practitioners to continuously deliver quality data to applications and business processes.

Business Transformation 65

Business Transformation Enterprise DevOps Analytics 65

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. Processing data. Trend visualization in the Stratio platform.

Software Review 52

Software Review Technical Review Software Technology 52

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

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? 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. This report is about those transitions.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

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

Apiumhub

APRIL 1, 2021

It starts with explaining about the digital age, data mining and then moves to explain the kinds of data that can be mined, the patterns that can be mined, for example, cluster analysis, predictive analysis, correlations, etc., Thinking with Data: How to Turn Information into Insights by Max Shron.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

DataRobot

MARCH 10, 2022

With Snowflake’s newest feature release, Snowpark , developers can now quickly build and scale data-driven pipelines and applications in their programming language of choice, taking full advantage of Snowflake’s highly performant and scalable processing engine that accelerates the traditional data engineering and machine learning life cycles.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Altexsoft

SEPTEMBER 9, 2022

Today, such modern data management frameworks as DataOps strongly rely on effective metadata capture and management to bring order into the chaotic data flows. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. Metadata management components.

Tools 59

Tools Technical Review Software Review Systems Review 59

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. The concept of parallel processing based on a “clustered” multi-computer architecture has a long history dating back at least as far as Gene Amdahl’s work at IBM in the 1960s. For more on how we make it work, see Inside the Kentik Data Engine.).

Big Data 40

Big Data Analytics Network Architecture 40

BPM

JANUARY 18, 2019

Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. This requires a new architecture capable of true scale and speed.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Kentik

MAY 31, 2017

Either way, it turned out, APIs were mostly architectural afterthoughts and users ended up with a collection of disparate, narrow tools that couldn’t — even with hefty consulting fees — be integrated into a seamless, efficient whole. Some tools present insights gleaned from the collection of device metrics while others use network flows.

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

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

Kentik

SEPTEMBER 24, 2015

Before Kentik, network visibility has been dominated by single or multi-tier appliance architectures. As the volume of network metric data grows exponentially, the inadequacy of these prior approaches has become obvious. Contextually nested selection and filtering of data is strongly realized. Pretty nice.

Network 40

Network Cloud Big Data Policies 40

Existek

SEPTEMBER 28, 2023

Therefore, it’s required to obtain good skills in data science. Model selection and design: AI developers choose appropriate machine learning algorithms and neural network architectures based on the problem at hand. Besides, their responsibilities include considering such factors as data type, volume, complexity, etc.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Altexsoft

OCTOBER 3, 2019

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. We’ll tell how to establish and implement HR data collection and analysis with a step-by-step plan.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Cloudera

MAY 13, 2021

Performance metrics appear in charts and graphs. . In this blog, we walk through the Impala workloads analysis in iEDH, Cloudera’s own Enterprise Data Warehouse (EDW) implementation on CDH clusters. We compare the current run of a job to a baseline derived from performance metrics. Fixed Reports / Data Engineering jobs

Data Engineering 69

Data Engineering Cloud Weak Development Team Resources 69

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. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. How data engineering works in a nutshell.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

ParkMyCloud

JANUARY 17, 2020

Display a basic understanding of core AWS services, uses, and basic AWS architecture best practices. Can deploy and define metrics, monitoring and logging systems on AWS. . Design and maintain network architecture for all AWS services. AWS Certified Big Data – Speciality. Design and maintain Big Data.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

CIO

AUGUST 5, 2022

Klipfolio: Klipfolio is designed to enable users to access and combine data from hundreds of services without writing any code. It leverages pre-built, curated instant metrics and a powerful data modeler, making it a good tool for building custom dashboards. Professional Certificate in IBM Data Science (IBM).

Data 296

Data Analytics Travel Business Intelligence 296

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

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. What does the high-performance data project have to do with the real Franz Kafka’s heritage? process data in real time and run streaming analytics. Kafka architecture. Kafka cluster architecture.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

AUGUST 4, 2021

Depending on a goal, it may take weeks or months to set up a data lake. Moreover, not all organizations use data lakes. Data mart vs data warehouse vs data lake architectures. Data marts shouldn’t be confused with OLAP cubes either. Data mart constructing. Subject-focused data analytics.

Data 64

Data Analytics Construction Cloud 64

AWS Machine Learning - AI

FEBRUARY 19, 2024

Smartwatch - A silver stainless steel smartwatch with heart rate monitor, GPS tracker and sleep analysis. - AI/ML Solutions Architect at AWS, focusing on generative AI and applies his knowledge in data science and machine learning to provide practical, cloud-based business solutions. He is a SageMaker Subject Matter Expert.

Generative AI 96

Generative AI AWS Machine Learning Artificial Inteligence 96

Altexsoft

MARCH 2, 2023

Whether you’re just getting started with data governance or looking to refine your existing program, this article will provide you with valuable insights and practical tips to help you manage your data more effectively. What is data governance? Its goal is to define and control all data governance initiatives.

Government 52

Government Tools Data Weak Development Team 52

John Snow Labs

MAY 24, 2023

The two important functions of this tool are: – Performing different types of labeling with various data formats. LabelBox LabelBox is an efficient AI Data Engine platform for AI assisted labeling, data curation, model training, and more. It annotates images, videos, text documents, audio, and HTML, etc.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52