O'Reilly Media - Ideas

APRIL 3, 2019

Spotlight on Cloud: The Future of Internet Security with Bruce Schneier , April 4. Spotlight on Data: Creating Smart Products Requires Collaboration, with Gretchen Anderson , April 15. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1.

Course 46

Course Artificial Inteligence Training Google Cloud 46

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 Source: IoT Analytics. IoT architecture layers. billion to 21.5

IoT 141

IoT Azure AWS Transportation 141

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Machine Learning for IoT , March 20. 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. Practical Data Cleaning with Python , March 20-21.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Confluent

SEPTEMBER 26, 2019

Regardless of whether your data is coming from edge devices, on-premises datacenters, or cloud applications, you can integrate them with a self-managed Kafka cluster or with Confluent Cloud ([link] which provides serverless Kafka, mission-critical SLAs, consumption-based pricing, and zero efforts on your part to manage the cluster.

Analytics 21

Analytics Serverless Blockchain Microservices 21

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level. Data and analytics.

Azure 52

Azure AWS Cloud How To 52

Palo Alto Networks

JANUARY 1, 2020

Particularly across EMEA, it seems virtual boundaries for data are growing; many policy stakeholders encourage “cloud first” more and more, but adding the caveat that the data must stay in the country or region. Current 5G Slowdown to Lead to Even Bigger IoT Wave . CSOs Go Back to School to Learn the DevOps Way.

IoT 54

IoT Cloud Software Review Network 54

Saviynt

AUGUST 20, 2019

Creating an effective Identity and Access Management (IAM) program is rapidly becoming a data security and privacy imperative. As organizations adopt digital transformation strategies, they move sensitive data offsite, choosing serverless over on-premises data repositories.

Policies 10

Policies Analytics Security Weak Development Team 10

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Challenges A cloud is a computing model where IT services are provisioned and managed over the Internet in the case of public clouds or over private IT Infrastructure in the case of private cloud. Data can be moved from one cloud to another without the additional cost of reading from one cloud to write to another.

Cloud 49

Cloud AWS Open Source Data Center 49

Altexsoft

OCTOBER 21, 2022

We describe information search on the Internet with just one word — ‘google’. 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.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Stream” itself was No.

Conference 8

Conference Data Data Engineering Big Data 8

Saviynt

SEPTEMBER 5, 2019

Legacy IAM products and many of the IAM governance products built into SaaS, PaaS and IaaS solutions lack the ability to create identities for new technologies that interact with data. For example, robotic process automation (RPA), Internet of Things (IoT) devices, and service accounts require governance for how they access resources.

Compliance 25

Compliance Government Meeting Technical Review 25