CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Kentik

JULY 10, 2018

Now that support for NetFlow, sFlow and IPFIX is commonplace in routers and switches, flow metadata is a readily available source of telemetry for real time visibility into network traffic flows across all monitoring domains. Network data is big data.

Tools 45

Tools Cloud Big Data WAN 45

Kentik

MAY 10, 2017

The Shift to Turn-Key Big Data Intelligence (InsideBigData) It’s still early innings for big data, according to this article penned by Kentik’s Alex Henthorn-Iwane. The company’s satellites will provide a “mesh network” in space that will be able to deliver high broadband speeds without the need for cables.”.

Internet 40

Internet Network Big Data Technical Review 40

CTOvision

OCTOBER 2, 2013

Since joining forces last year, Strata + Hadoop World is also one of the largest gatherings of the Apache Hadoop community in the world, with emphasis on hands-on and business sessions on the Hadoop ecosystem. If you want to tap into the opportunities brought by big data, data science, and pervasive computing, you’ll want to be there.

Big Data 73

Big Data CTO Coach Conference Media 73

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.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

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

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

Altexsoft

JANUARY 22, 2020

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. A complete guide to business intelligence and analytics. The role of business intelligence developer.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

NOVEMBER 19, 2020

In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors.

Government 118

Government Artificial Inteligence Machine Learning Data 118

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

TechCrunch

JUNE 30, 2022

Snowplow , a platform designed to create data for AI and business intelligence applications, today announced that it raised $40 million in a Series B funding round led by NEA, Snowplow investors, Atlantic Bridge and MMC. “The C-suite need to be ever-vigilant on the security, privacy and management of their data.

Data 187

Data Analytics Business Intelligence Google Cloud 187

Datavail

AUGUST 6, 2019

The future growth of deep learning holds many exciting possibilities for businesses. Deep learning is a type of machine learning where artificial neural networks mimic the structure and learning processes of the human brain. What Does Deep Learning Mean for Your Business?

Machine Learning 20

Machine Learning Artificial Inteligence Weak Development Team Open Source 20

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI).

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Apiumhub

APRIL 27, 2021

Nowadays, data scientists have become vital to organizations all over the world as companies seek to achieve bigger goals with data science than ever before. What is Data Mining. Association Association is a data mining technique related to statistics. Retailers, banks, manufacturers, health industry players, etc.

Artificial Inteligence 105

Artificial Inteligence Data Machine Learning Artificial Intelligence 105

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Emerging technologies such as blockchain, AI, and machine learning are also becoming increasingly important in financial services software development.

Software Development 52

Software Development Trends Technology Software 52

O'Reilly Media - Data

MAY 3, 2018

Once we have data securely in place, we proceed to utilize it in two main ways: (1) to make better decisions (BI) and (2) to enable some form of automation (ML). Business intelligence and analytics. Machine learning. In multi-task learning, the goal is to consider fitting separate but related models simultaneously.

Analytics 127

Analytics Artificial Inteligence Data Machine Learning 127

O'Reilly Media - Ideas

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Data 111

Data Artificial Inteligence Machine Learning Hardware 111

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. This approach to data workflow management was first taken by Airbnb.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Source: Qubole. ELT vs ETL.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

MARCH 18, 2021

From the late 1980s, when data warehouses came into view, and up to the mid-2000s, ETL was the main method used in creating data warehouses to support business intelligence (BI). As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Data size and type.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

DECEMBER 14, 2020

Structured data management tools. Among the most commonly used relational database management systems, data tools, and technologies there are the following: PostgreSQL. It’s a free open-source RDBMS that supports both SQL and JSON querying as well as the most widely used programming languages such as Java, Python, C/C+, etc.

Data 93

Data Artificial Inteligence Storage Analytics 93

Altexsoft

DECEMBER 14, 2022

Docker is an open-source containerization software platform: It is used to create, deploy and manage applications in virtualized containers. Launched in 2013 as an open-source project, the Docker technology made use of existing computing concepts around containers, specifically the Linux kernel with its features.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 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. Tableau — one of the leading analytics platforms — is also among Snowflake partner integrations.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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 49

Cloud AWS Azure Data Center 49

Altexsoft

SEPTEMBER 23, 2021

The main purpose of a DW is to enable analytics: It is designed to source raw historical data, apply transformations, and store it in a structured format. This type of storage is a standard part of any business intelligence (BI) system, an analytical interface where users can query data to make business decisions.

Architecture 52

Architecture Data Storage IoT 52

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 101

Machine Learning Artificial Inteligence Technical Review Technology 101

Altexsoft

SEPTEMBER 21, 2023

In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. Business workflow automation. What is Elasticsearch? Real-time behavior modeling with ML.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Datavail

JULY 31, 2019

Big data software companies that used to run their applications on Hadoop are now switching to Kubernetes. What’s behind the recent move from Hadoop to Kubernetes, and where is the big data landscape going in the future? Platforms like Hadoop were created during and for a different era in big data.

Development 8

Development Big Data Open Source Google Cloud 8

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Vincent Granville.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

TechCrunch

JANUARY 16, 2021

A great amount of talent is cultivated in the military, which has spawned innovative cyber, AI and machine-learning companies. Also, significant experience and know-how have been accumulated here in big data analytics. First: more open-source projects. What are some overlooked opportunities right now?

Technical Review 354

Technical Review Software Review Trends Systems Review 354

CIO

JANUARY 20, 2023

Here’s what to consider: Ingesting the data : To be able to analyze more data at greater speeds, organizations need faster processing via high-powered servers and the right chips for AI—whether CPUs or GPUs. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 342

Analytics Artificial Inteligence Artificial Intelligence Hardware 342

Altexsoft

FEBRUARY 3, 2020

A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. This is only one but a very important parameter that proves the power of big data in modern business operations. Excellent performance speed with super-fast data refreshes.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

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 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Altexsoft

MARCH 14, 2023

Additionally, this modularity can help prevent vendor lock-in, giving organizations more flexibility and control over their data stack. Offered as open-source with active support by communities. Many components of a modern data stack (such as Apache Airflow, Kafka, Spark, and others) are open-source and free.

Data 59

Data Technical Review Software Review Artificial Inteligence 59