Big Data, Business Intelligence, Machine Learning and Serverless

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Big Data & AI News | Google Cloud Next 19 | Day Two Recap

Linux Academy

APRIL 10, 2019

Thomas Kurian, CEO of Google Cloud, introduced Traffic Director, the new global traffic management service for VMs and containers as well as Cloud Run, which allows you to run any container in a serverless environment. Cloud Data Fusion. Big data got some big news today as well. And there’s more to come!

Google Cloud

Google Cloud Big Data Cloud Data

Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

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Webinars

The AI Superhero Approach to Product Management

How to Select the Perfect Payments Partner: 7 Keys for Sustainable Growth

Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

MORE WEBINARS

Trending Sources

Why You Want To Use Looker Studio For Data Visualization on BigQuery

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

Data Google Cloud Analytics Serverless

Webinars

The AI Superhero Approach to Product Management

How to Select the Perfect Payments Partner: 7 Keys for Sustainable Growth

Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

MORE WEBINARS

Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability.

Serverless

Serverless AWS Artificial Inteligence Big Data

The Good and the Bad of Apache Spark Big Data Processing

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

Weak Development Team Big Data Data Machine Learning

Apiumhub among top IT industry leaders in Code Europe event

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

Industry Technical Advisors CTO Coach Azure

The Good and the Bad of Snowflake Data Warehouse

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. BTW, we have an engaging video explaining how data engineering works. Zero management.

Weak Development Team

Weak Development Team Data Storage Technical Review

Understanding Data-platform Needs to Support Network Observability

Kentik

FEBRUARY 14, 2023

What is a data platform? What are the main features of a modern data platform? Different formats, models, and protocols constrain data from these different domains accordingly. Business intelligence with data platforms The context of this data innovation is simple: driving business goals forward and delighting customers.

Network

Network Data Artificial Inteligence Analysis

What Is Cloud Computing? Services, Types, Advantages and Use Cases

Kaseya

NOVEMBER 9, 2023

Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more. It allows organizations to efficiently manage and process vast amounts of data without the constraints of on-premises infrastructure.

Cloud

Cloud Disaster Recovery Infrastructure Artificial Inteligence

Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

MAY 20, 2020

Due to authentication and encryption provided at all points of connection, IoT Core and devices never exchange unverified data. Amazon QuickSight , a business intelligence service to visualize data insights, Jupyter Notebook that provides powerful tools for machine learning and advanced statistical analysis, and.

IoT

IoT Azure AWS Transportation

Altexsoft - Untitled Article

Altexsoft

JANUARY 14, 2021

It is usually created and used primarily for data reporting and analysis purposes. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. Architecture.

Backup

Backup Azure Architecture Software Review

Accelerating Cloud Adoption with Hitachi Vantara

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud

Cloud AWS Open Source Data Center

The Good and the Bad of Docker Containers

Altexsoft

DECEMBER 14, 2022

The heart and soul of Docker are containers — lightweight virtual software packages that combine application source code with all the dependencies such as system libraries (libs) and binary files as well as external packages, frameworks, machine learning models, and more. The Good and the Bad of the SAP Business Intelligence Platform.

Weak Development Team

Weak Development Team Linux Operating System Virtualization

Becoming a machine learning company means investing in foundational technologies

O'Reilly Media - Ideas

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. Use ML to unlock new data types—e.g.,

Machine Learning

Machine Learning Artificial Inteligence Technical Review Technology

The Good and the Bad of the Elasticsearch Search and Analytics Engine

Altexsoft

SEPTEMBER 21, 2023

In 2023, Elasticsearch introduced the Elasticsearch Relevance Engine (ESRE) , a powerful upgrade integrating AI and machine learning into search. Elasticsearch supports machine learning algorithms that can automatically model and analyze the behavior of your data in real time, providing valuable insights and predictions.

Weak Development Team

Weak Development Team Analytics Engineering Development Team Review

Topics to watch at the Strata Data Conference in New York 2019

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.

Conference

Conference Data Data Engineering Big Data

The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team

Weak Development Team Machine Learning Artificial Inteligence Software Review

CTO Universe

Big Data & AI News | Google Cloud Next 19 | Day Two Recap

Core technologies and tools for AI, big data, and cloud computing

Webinars

Trending Sources

Why You Want To Use Looker Studio For Data Visualization on BigQuery

Webinars

Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

The Good and the Bad of Apache Spark Big Data Processing

Apiumhub among top IT industry leaders in Code Europe event

The Good and the Bad of Snowflake Data Warehouse

Understanding Data-platform Needs to Support Network Observability

What Is Cloud Computing? Services, Types, Advantages and Use Cases

Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft - Untitled Article

Accelerating Cloud Adoption with Hitachi Vantara

The Good and the Bad of Docker Containers

Becoming a machine learning company means investing in foundational technologies

The Good and the Bad of the Elasticsearch Search and Analytics Engine

Topics to watch at the Strata Data Conference in New York 2019

The Good and the Bad of Databricks Lakehouse Platform

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