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 105

Knowledge Base Artificial Inteligence Generative AI AWS 105

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

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

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

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

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

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 Artificial Inteligence Cloud Company 40

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

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

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

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 66

Course Training Artificial Inteligence Software Review 66

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 Artificial Intelligence Machine Learning 52

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 Machine Learning 52

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 50

Course Training Artificial Inteligence Software Review 50

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 Azure Data Center 49

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 Machine Learning 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 48

Course Artificial Inteligence Training Google Cloud 48

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

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

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

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 147

Disaster Recovery Open Source Data Center Scalability 147

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

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 Software Review 93

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

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 90

Architecture Programming Microservices Serverless 90

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 Systems Review 52

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