Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

Linux Academy

JANUARY 29, 2019

Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of Big Data. Starting with the definition of Big Data, we describe the various characteristics of Big Data and its sources. No prior AWS experience is required.

Linux 60

Linux Technical Review AWS Big Data 60

Linux Academy

JUNE 25, 2019

Serverless Concepts. Serverless has been gaining momentum as cloud technology continues to become more widespread. This course provides a high-level overview of the concept of Serverless computing without getting into deep technical details. Big Data Essentials. AWS Essentials.

Linux 60

Linux Course Cloud Google Cloud 60

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 110

Knowledge Base Artificial Inteligence Generative AI AWS 110

CircleCI

SEPTEMBER 7, 2021

Serverless. One cloud offering that does not exist on premises is serverless. Serverless is a bit of a misnomer, as it definitely involves servers. Serverless is cost-effective (often free), and scales easily. Serverless often has some startup delay, too, but it is still a powerful tool in your cloud toolbox.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Linux Academy

MAY 29, 2019

A couple of years ago, I wrote a post called “ 116 Hands-On Labs and Counting ” and today we have over 750 Hands-On Labs across 10 content categories — Linux, AWS, Azure, Big Data, Cloud, Containers, DevOps, Google Cloud, OpenStack, and Security. Building a Serverless Application Using Step Functions, API Gateway, Lambda, and S3.

Linux 68

Linux Serverless Google Cloud Lambda 68

ParkMyCloud

MARCH 13, 2020

For example, for relational and NoSQL databases, data warehousing, Big Data processing, and/or backup and recovery. Amazon Simple Storage Service (S3) – general purpose object store for user-generated content, active archive, serverless, etc. Use cases: Streaming workloads, big data, data warehouses, log processing.

AWS 57

AWS Storage Comparison Serverless 57

Apps Associates

JULY 28, 2022

As you may be aware, there are several data integration tools like ODI11g, ODI12c, ODI on Marketplace, however I would like to dive into what Oracle Cloud Infrastructure Data Integration is and how it can benefit you. Rules-based data integration pattern to support schema evolution. Data Lakehouse based implementations.

Infrastructure 52

Infrastructure Cloud Data Linux 52

RapidValue

MARCH 17, 2019

Momentum grows in serverless computing. That seems to be the question people are asking about serverless computing and 2019 may well provide the answer one way or another. Serverless computing shifts the cost away from the developer and onto the cloud provider. Fad or future? 2019 and beyond.

Trends 45

Trends Cloud Serverless Microservices 45

RapidValue

FEBRUARY 18, 2021

The Cloud-Native stack includes Serverless Computing , Containerization, and Orchestration Platforms. The Flexera 2020 State of the Cloud report named Serverless as one of the top five fastest-growing PaaS Cloud services. Another very significant Cloud-Native capability is Containerization.

Trends 98

Trends Cloud Artificial Intelligence Artificial Inteligence 98

Linux Academy

JUNE 28, 2019

Who should take this course: We suggest you take our Big Data Essentials and Linux Essentials courses before taking this course. You’ll even install some of the more popular database systems, including MongoDB and Couchbase, that are available on Linux and see how to work with data in those systems. Serverless Concepts.

Course 60

Course DevOps Training Linux 60

Gorilla Logic

JUNE 5, 2018

In the next post, I will show how Gorillas have developed full-fledged serverless solutions using AWS. The data coming from these devices is a fertile source for big data and machine learning applications. In this blog series, you will explore the rise of IoT and how Gorillas are adapting to the trend. Yes, in 1 second !

IoT 47

IoT Software Serverless AWS 47

The Citus Data

MARCH 31, 2023

(EMEA livestream, Citus team, Citus performance, benchmarking, HammerDB, PostgreSQL) 2 Azure Cosmos DB for PostgreSQL talks (aka Citus on Azure) Auto scaling Azure Cosmos DB for PostgreSQL with Citus, Grafana, & Azure Serverless , by Lucas Borges Fernandes, a software engineer at Microsoft. (on-demand

Azure 85

Azure Open Source Virtualization Software Engineering 85

OTS Solutions

JULY 18, 2023

In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering. They now have access to vast amounts of data, which they can use to gain insights into customer behavior, optimize processes, and drive innovation.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering. They now have access to vast amounts of data, which they can use to gain insights into customer behavior, optimize processes, and drive innovation.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

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

CircleCI

NOVEMBER 18, 2021

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. Without some form of AIOps, IT organizations are sure to find many obstacles stifling their growth. Cooperating with AI.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

Linux Academy

SEPTEMBER 30, 2019

The course will begin with the installation of a MySQL server, then cover common administrative tasks like creating databases and tables, inserting and viewing data, and running backups for recovery. We will also cover the different data types that are allowed in MySQL, and discuss user access and privileges. Big Data Essentials.

Linux 22

Linux Course Serverless Google Cloud 22

DevOps.com

JUNE 18, 2019

Big data is an older fashionable term that, when combined with agile methodology, AI and ML and analytics, has become a powerful trend once again in data operations (DataOps). If you’re a systems architect, it pays to understand the philosophies, benefits and tools to power DataOps and improve your data-driven applications.

System 83

System Data Fashion Big Data 83

O'Reilly Media - Ideas

DECEMBER 5, 2018

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. Creating Serverless APIs with AWS Lambda and API Gateway , January 8.

Artificial Inteligence 105

Artificial Inteligence Course Training Blockchain 105

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Apache Hadoop, Spark and Big Data Foundations , June 5. Real-time Data Foundations: Kafka , June 11.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Linux Academy

MAY 23, 2019

Linux Academy has over 700 hands-on labs that are exactly like this, including labs on serverless, Linux, security, containers, Azure, Google, Kubernetes, big data, and learning Python.

Linux 60

Linux Backup Lambda AWS 60

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 60

Course Artificial Inteligence Training Blockchain 60

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.

Compliance 49

Compliance Innovation Meeting Industry 49

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 68

Course Training Artificial Inteligence Software Review 68

Protera

SEPTEMBER 25, 2018

New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. This enables customers to take full advantage of HANA’s data processing, real-time visibility, and native analytical power. 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

RapidValue

AUGUST 18, 2019

Designing Consistent Security for Microservices, APIs, and Serverless – Consistent security implementation should prevail. Microservices, APIs and Serverless require the most consistent security focus. Checking your Code Dependencies – Understanding that open-source use is the key to wider adoption of DevSecOps practices.

Games 50

Games Microservices DevOps Open Source 50

O'Reilly Media - Ideas

APRIL 3, 2019

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. 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. Kubernetes Serverless with Knative , May 29.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Trigent

MARCH 29, 2023

Flexible Architecture that’s based on Serverless Cloud-Native Technology The importance of providing a unified experience while offering embedded insurance needs to be reinforced and be an essential design parameter for the Engineering team. Adopting a Cloud Native, Serverless approach offers immense flexibility.

Insurance 95

Insurance Strategy Serverless Big Data 95

RapidValue

AUGUST 4, 2020

Using serverless computing services, such as AWS Lambda, take away the need for developers or other IT staff to configure or manage cloud instances. Deploying popular containers like Kubernetes and Docker offer various benefits such as efficiency, simplicity, maintainability, portability and multi-cloud platforms.

Cloud 92

Cloud How To Azure AWS 92

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 50

Course Training Artificial Inteligence Software Review 50

Kaseya

MAY 13, 2021

Major functionalities of Google Cloud include: Big data services Compute engines Live migration Internet of Things (IoT) Cloud management Machine intelligence Networking Cloud storage Identity and security. What Are the Advantages of Google Cloud? Database Services.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

O'Reilly Media - Ideas

JANUARY 13, 2020

Change is inevitable, and as programming languages continue to lean in to optimization for new trends in the cloud, microservices, big data, and machine learning, each language and its ecosystem will continue to adapt in its own unique way. ” What lies ahead? ” What lies ahead?

Programming 138

Programming Software Review Systems Review Machine Learning 138

RapidValue

JULY 31, 2019

Serverless architecture is another buzzword to hit the cloud-native space, but what is it, is it worthwhile and how can it work for you? Serverless architecture is on the rise and is rapidly gaining acceptance. What is Serverless Architecture? In serverless applications, a cloud provider manages the provision of servers.

Serverless 47

Serverless Architecture Cloud Development 47

Linux Academy

APRIL 9, 2019

AWS Certified Big Data. Proficiency writing code for serverless applications. AWS Certified Big Data – Specialty. The Big Data Specialty exam focuses on testing the ability to analyze complex Big Data using AWS services and architectures. AWS Certified Security.

AWS 60

AWS DevOps Architecture Scalability 60

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

RapidValue

OCTOBER 12, 2020

Some of the key AWS tools and components which are used to build Microservices-based architecture include: Computing power – AWS EC2 Elastic Container Service and AWS Lambda Serverless Computing. Storage – Secure Storage ( Amazon S3 ) and Amazon ElastiCache.

Microservices 53

Microservices AWS Architecture Applications 53