OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs). The OpenSearch Serverless collection.

Knowledge Base 115

Knowledge Base Artificial Inteligence AWS Generative AI 115

CircleCI

SEPTEMBER 7, 2021

Examine your needs, such as scalability, and your expenses, such as overhead, when deciding if IaaS is right for you. Serverless. One cloud offering that does not exist on premises is serverless. Serverless is a bit of a misnomer, as it definitely involves servers. Big data analytics.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

The Citus Data

MARCH 31, 2023

To put a number to it, either 12 (or 13) of the 37 talks—approximately ~32%—are about the Citus extension to Postgres. :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games.

Azure 84

Azure Open Source Virtualization Software Engineering 84

Cloudera

MAY 28, 2019

Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW). And we couldn’t mention future-proofing without the Cloudera Data Platform (CDP), Cloudera’s next-generation platform and the industry’s first Enterprise Data Cloud. Stay tuned.

Compliance 50

Compliance Innovation Meeting Industry 50

Protera

SEPTEMBER 25, 2018

Basic factors like hosting costs, scalability and agility just make on premise to cloud migration the logical choice. New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. Cloud innovation in other areas has been just as rapid. Integration Unifies the Public Cloud.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash. Overview of Rockset technology.

Analytics 21

Analytics Serverless Blockchain Microservices 21

CircleCI

NOVEMBER 18, 2021

But as the demands on software teams continue to grow, it has become apparent that adding more staff is not a scalable solution. AIOps uses machine learning and big data to assist IT operations. However, the security challenges introduced by big data and software at scale are tangible. Cooperating with AI.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Machine Learning Artificial Intelligence 52

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12.

Course 62

Course Training Artificial Inteligence Software Review 62

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12.

Course 47

Course Training Artificial Inteligence Software Review 47

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Data and analytics. Internet of Things.

Azure 52

Azure AWS Cloud How To 52

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. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

O'Reilly Media - Ideas

APRIL 3, 2019

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Fraud Analytics Using Python , April 30. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21.

Course 46

Course Artificial Inteligence Training Google Cloud 46

RapidValue

SEPTEMBER 16, 2019

Advanced technologies like Big Data and Mobility have known to have fueled stronger growth in the cloud computing industry. Enterprises and organizations need scalable and accessible infrastructures and platforms to use newer technologies. Using cloud analytics helps to improve your business.

Cloud 14

Cloud Disaster Recovery Big Data Technical Review 14

AWS Machine Learning - AI

AUGUST 13, 2024

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and quickly integrate and deploy them into your applications using the AWS tools without having to manage the infrastructure. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

Healthcare 104

Healthcare Artificial Inteligence Analysis Lambda 104

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Kaseya

NOVEMBER 9, 2023

Cloud infrastructure Four integral elements define the backbone of cloud infrastructure: Servers: Servers are the core of cloud infrastructure, acting as the computational engines that process and deliver data, applications and services. The servers ensure an efficient allocation of computing resources to support diverse user needs.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

Altexsoft

JANUARY 14, 2021

Non-volatile implies that once the data flies into a warehouse, it stays there and isn’t removed with new data enterings. As such, it is possible to retrieve old archived data if needed. Summarized touches upon the fact the data is used for data analytics. Data warehouse architecture.

Backup 115

Backup Azure Architecture Software Review 115

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19. Scalable Concurrency with the Java Executor Framework , March 12. Time Series Forecasting , March 14.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

CIO

DECEMBER 13, 2022

Here, I’ll give you an overview of Cassandra, along with a few reasons why this database might just be the right way to persist data at your organization and ensure your data and the apps that your developers build on it are infinitely scalable, secure, and fast. Why Cassandra?

Disaster Recovery 144

Disaster Recovery Open Source Data Center Scalability 144

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

MAY 20, 2020

Source: IoT Analytics. For companies, incorporating the consistent IoT strategy into daily routine means continuous access to valuable data about products and processes that can be translated into reduced expenses, improved efficiency in logistics and maintenance, better products and enhanced customer experience. Source: IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. process data in real time and run streaming analytics.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Apps Associates

JUNE 22, 2022

Apps Associates prides itself on being a trusted partner for the management of critical business needs, providing strategic consulting and managed services for Oracle, Salesforce, integration , analytics and multi-cloud infrastructure. New Instance Types: I4i. GHz, equipped with up to 7.6 GHz, equipped with up to 7.6

AWS 52

AWS IPv6 Storage Serverless 52

Datavail

JUNE 22, 2021

Continuous Innovation : As of this writing, Microsoft has built over a thousand new capabilities in Azure in just one year , keeping it on the cutting edge of analytics, artificial intelligence, and virtualization. You can follow their blog to stay up to date on the cutting-edge changes and releases. Contact an Expert » Read This Next.

Azure 40

Azure Cloud Artificial Inteligence Company 40

Kentik

FEBRUARY 14, 2023

What is a data platform? These pipelines provide a standard method of synthesis, which can be replicated across as many servers as it takes to ingest all of the data, enabling the rest of the system to work at scale across multiple teams for analytics. What are the advantages of a data platform?

Network 52

Network Data Artificial Inteligence Analysis 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Open Source Azure 49

Confluent

FEBRUARY 13, 2019

Core function: Building the event streaming model for item bid activity and analytics. Data evolution. Systems built as Reactive Systems are more flexible, loosely-coupled and scalable. It is very simple but presents scalability challenges. Do I need to use a microservices framework? Control: Offline and rolling restart.

Architecture 92

Architecture Programming Microservices Serverless 92

Altexsoft

NOVEMBER 30, 2018

Apache Hive allows for quickly writing SQL-like queries to pull data from the Hadoop distributed file system (HDFS) and other compatible systems. Apache Hive can be used both as a database and data warehouse. SQLite is a self-contained, serverless, zero-configuration, transactional database engine. Big data analytics tools.

Open Source 60

Open Source Software Review Software How To 60

Altexsoft

NOVEMBER 7, 2022

DevOps tasks — for example, creating scheduled backups and restoring data from them. Airflow is especially useful for orchestrating Big Data workflows. Airflow is not a data processing tool by itself but rather an instrument to manage multiple components of data processing. When Airflow won’t work.

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

Saviynt

JANUARY 7, 2020

These serverless technologies build security into the functions and offer varying monitoring and alerting capabilities. Highly Scalable, Cloud Architected. Saviynt’s cloud-native platform uses Big Data technologies like ElasticSearch and Hadoop architecturally. Rich Analytics, Peer Insights, and Usage .

Software Review 12

Software Review Technical Review Compliance Government 12

RapidValue

FEBRUARY 8, 2021

AWS Proton is another exciting service that helps manage and automate code deployments and infrastructure provisioning for applications that are serverless and container-based. Additionally, it also monitors the changes to data in the source data stores, and when the changes do occur, Elastic Views updates the target data store automatically.

AWS 52

AWS Serverless Open Source Artificial Inteligence 52

AWS Machine Learning - AI

AUGUST 2, 2024

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. However, a manual process is time-consuming and not scalable.

Artificial Inteligence 92

Artificial Inteligence Generative AI Energy Knowledge Base 92

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64