O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.).

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

Instaclustr

OCTOBER 14, 2019

The Apache Software Foundation has been around since 1999 when it started out with a single project, their “Apache” HTTP Server. The Apache Software Foundation has been around since 1999 when it started out with a single project, their “Apache” HTTP Server. IoT, geospatial, ML, streaming, etc.),

Technical Review 36

Technical Review Technology Report Open Source 36

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. However, they often forget about the fundamental work – data literacy, collection, and infrastructure – that must be done prior to building intelligent data products.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Cloudera

SEPTEMBER 9, 2020

This blog post will present a simple “hello world” kind of example on how to get data that is stored in S3 indexed and served by an Apache Solr service hosted in a Data Discovery and Exploration cluster in CDP. You can also find more information about using templates in CDP Data Hub here. You have a DDE cluster running.

Data 81

Data How To AWS Resources 81

O'Reilly Media - Ideas

JANUARY 2, 2019

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , January 7-8. Natural Language Processing (NLP) from Scratch , January 22. Protecting Data Privacy in a Machine Learning World , January 31. What You Need to Know About Data Science , February 4. Active Learning , February 13.

Course 57

Course Artificial Inteligence Training Blockchain 57

Confluent

FEBRUARY 21, 2019

During a recent talk titled Hunters ATT&CKing with the Right Data , which I presented with my brother Jose Luis Rodriguez at ATT&CKcon, we talked about the importance of documenting and modeling security event logs before developing any data analytics while preparing for a threat hunting engagement. FROM SYSMON_JOIN.

Windows 81

Windows Network Data Performance 81

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

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Spotlight on Data: Data as an Asset with Friederike Schüür and Jen van der Meer , May 20. Spotlight on Learning from Failure: Solving Cryptocurrency’s Volatility Crisis with Wayne Chang , May 28. Blockchain.

Course 45

Course Training Artificial Inteligence Machine Learning 45

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

Instaclustr

OCTOBER 14, 2019

The Apache Software Foundation has been around since 1999 when it started out with a single project, their “Apache” HTTP Server. The Apache Software Foundation has been around since 1999 when it started out with a single project, their “Apache” HTTP Server.

Technical Review 28

Technical Review Technology Report Open Source 28

O'Reilly Media - Ideas

APRIL 3, 2019

Deep Learning from Scratch , April 19. Natural Language Processing (NLP) from Scratch , May 6. TensorFlow Extended: Data Validation and Transform , May 16. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , May 28-29. Data science and data tools.

Course 47

Course Artificial Inteligence Training Google Cloud 47

O'Reilly Media - Ideas

JUNE 4, 2019

Deep Learning from Scratch , July 2. 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. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Engineering Mentorship , June 24.

Course 64

Course Training Artificial Inteligence Software Review 64

Altexsoft

JANUARY 22, 2020

Such a method requires sending and receiving millions bits of data at any given moment, so that you can play another Black Mirror episode on the go. Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. So, what has changed?

Analytics 20

Analytics Data IoT Analysis 20

O'Reilly Media - Ideas

JUNE 5, 2019

Deep Learning from Scratch , July 2. 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. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Engineering Mentorship , June 24.

Course 49

Course Training Artificial Inteligence Software Review 49

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 98

Machine Learning Artificial Inteligence Technical Review Technology 98

Agile Engine

DECEMBER 21, 2023

If you’re looking to engage a financial software development company to build your own fintech app, stop and read this first. This trend will present opportunities for a wide cross-section of industries: everyone from tech companies and startups to brick-and-mortar banks will focus on financial software development.

Fintech 52

Fintech Software Development Software Review Technical Review 52

O'Reilly Media - Ideas

FEBRUARY 5, 2019

1] This combination of search and usage data provides a holistic view; search data shows the areas where subscribers are exploring, and usage identifies topics where they’re actively engaged. There are four aspects of the Next Architecture, each of which shows up in the platform’s search and usage data. Decomposition.

Trends 82

Trends Artificial Inteligence Blockchain Microservices 82

Cloudera

OCTOBER 17, 2023

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. I will cover key takeaways from Current 2023 and offer Cloudera’s perspective. More of a Confluent conference now than a kafka conference. More focused on Kafka as their core business. Expecting a product to be GA’d.

Technical Review 74

Technical Review Generative AI Conference Open Source 74

Altexsoft

OCTOBER 21, 2022

We say ‘xerox’ speaking of any photocopy, whether or not it was created by a machine from the Xerox corporation. Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Natural Language Processing (NLP) from Scratch , March 11. TensorFlow Extended: Data Validation and Transform , March 14. Data science and data tools. Business Data Analytics Using Python , February 27. Hands-on Introduction to Apache Hadoop and Spark Programming , March 5-6. Programming.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Why did the need for Spark arise at all? What should you know about Spark cons?

Big Data 98

Big Data Tools Data Storage 98

Linux Academy

AUGUST 29, 2019

Network routing is the process of enabling computers to transfer data over networks, including the internet. We will begin by discussing IP addressing, which provides logical addresses for data to be sent to. We cover how to connect to and manage this popular RDMS using a variety of tools running on our favorite operating system.

Linux 18

Linux Course AWS Google Cloud 18

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. The term “AI,” meanwhile, is No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Altexsoft

NOVEMBER 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse?

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report.

Data 83

Data Disaster Recovery Analytics Microservices 83

Altexsoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. Let’s see what exactly Databricks has to offer.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64