Business Analytics, Data Engineering and Tools

What is data analytics? Analyzing and managing data for decisions

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics tools.

Analytics

Analytics Data Analysis Business Analytics

Achieving Business Analytics Success

Datavail

MARCH 31, 2022

By incorporating these data insights into your organization’s strategies and culture, you can experiment with and explore new ways of configuring operations while also discovering new business opportunities. Analytics as a Strategy Tool. Analytics as an Operational Tool. Contact us today.

Business Analytics

Business Analytics Analytics Artificial Inteligence Strategy

Ascend.io lands $31M to automate data pipeline orchestration

TechCrunch

APRIL 6, 2022

based businesses said they accelerated their AI implementation over the past two years, while 20% said they’d boosted their usage of business analytics compared with the global average. Rather, it was the ability to scale the productivity of the people who work with data.

Data

Data Technical Cofounder Weak Development Team Data Engineering

Webinars

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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What Do CIOs Have To Know About Business Intelligence?

The Accidental Successful CIO

MAY 12, 2021

CIOs need to understand how to make use of new business intelligence tools Image Credit: deepak pal. Modern CIOs need to understand that Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an company’s strategic and tactical business decisions.

Business Intelligence

Business Intelligence Business Analytics Analytics Off-The-Shelf

Forget the Rules, Listen to the Data

Hu's Place - HitachiVantara

MAY 10, 2019

For this reason, many financial institutions are converting their fraud detection systems to machine learning and advanced analytics and letting the data detect fraudulent activity. However, in the rush to do this, many of these systems have been poorly architected to address the total analytics pipeline.

Data

Data Machine Learning Artificial Inteligence Weak Development Team

An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

DECEMBER 21, 2020

Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. He seeks to quickly discover and learn about available data sets.

Data

Data Virtualization Banking Data Engineering

Change The Way You Do ML With Applied ML Prototypes

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. Delivering ML models into the business with the right production ML tooling — including deployment, monitoring, and governance — is often the bigger challenge.

Machine Learning

Machine Learning Artificial Inteligence Telecommunications Enterprise

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

New live online training courses

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9.

Course

Course Training Artificial Inteligence Software Review

219+ live online training courses opened for June and July

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Programming with Data: Advanced Python and Pandas , July 9.

Course

Course Training Artificial Inteligence Software Review

Top Data science books you should definitely read

Apiumhub

APRIL 1, 2021

The book covers the breadth of activities and methods and tools that Data Scientists use. Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic. Business Analytics: The Science Of Data – Driven Decision Making by U Dinesh Kumar.

Artificial Inteligence

Artificial Inteligence Data Handbook Machine Learning

No-code business intelligence service y42 raises $2.9M seed round

TechCrunch

MARCH 22, 2021

The service, which was founded in 2020, integrates with over 100 data sources , covering all the standard B2B SaaS tools from Airtable to Shopify and Zendesk, as well as database services like Google’s BigQuery. And that in turn led him to also found a second company that focused on B2B data analytics.

Business Intelligence

Business Intelligence Software Review B2B Analytics

Analytics Engineer: Job Description, Skills, and Responsibilities

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics

Analytics Engineering Data Engineering Software Engineering

Data Virtualization: Process, Components, Benefits, and Available Tools

Altexsoft

NOVEMBER 23, 2021

To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. This post is a perfect place to learn about this approach, its architecture components, differences, benefits, tools, and more. What is data virtualization?

Virtualization

Virtualization Tools Data Architecture

Data Summit 2023 Event Recap

Datavail

JUNE 8, 2023

Attendees were able to explore solutions and strategies to help them unlock the power of their data and turn it into actionable insights. The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics.

Database Administration

Database Administration Data Artificial Inteligence Analytics

How to use Multiple Databricks Workspaces with one dbt Cloud Project

Xebia

JULY 28, 2023

After building the models for each environment, and also in the Develop IDE, you should have two Workspaces that look like the images below: Conclusion Databricks is a great tool that offers a unified analytics platform that combines data engineering, data science, and business analytics.

Cloud

Cloud Azure How To Windows

Hire ETL Developer in Ukraine

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer? Data modeling.

Development

Development Storage Recruiting Architecture

Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

FEBRUARY 8, 2021

Manufacturing is typically characterized by producing a lot of various disparate data that is hard to organize and analyze, especially with the spread of Internet of Things (IoT) devices. Analytics and BI tools can consolidate and visualize all the important information that would let you monitor your production process more efficiently.

Business Intelligence

Business Intelligence Analytics Analysis Data

Altexsoft - Untitled Article

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Cloud data warehouse architecture.

Backup

Backup Azure Software Review Systems Review

Technology Trends for 2023

O'Reilly Media - Ideas

MARCH 1, 2023

This difference between search data and usage data may mean that developers “live” in their programming languages, not in their container tools. Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence. over the year.

Trends

Trends Technical Review Technology Software 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. 221) to 2019 (No.

Conference

Conference Data Data Engineering Artificial Inteligence

An Overview of Real Time Data Warehousing on Cloudera

Cloudera

NOVEMBER 2, 2020

Analytics storage and query engine for pre-aggregated event data. Fast ingest of streaming data, interactive queries, very high scale. Tool for visualizing, dashboarding, and report building. Connects to Druid, Impala, Hive, and other enterprise data sources. Data Hub – Real Time Data Mart Template.

Data

Data Analytics Storage Big Data

The Multifaceted Value Proposition of the Cloudera Data Platform

Cloudera

FEBRUARY 22, 2021

This category describes the unique ability of CDP to accelerate deployment of use cases (and, as a result, the associated business value) by: . CDP helps clients reduce (or avoid entirely) costs for ancillary technology tools that are used in conjunction with competing analytical solutions. query failures, cost overruns).

Data

Data Analytics Government Technical Review

CTO Universe

What is data analytics? Analyzing and managing data for decisions

Achieving Business Analytics Success

Webinars

Trending Sources

Ascend.io lands $31M to automate data pipeline orchestration

Webinars

What Do CIOs Have To Know About Business Intelligence?

Forget the Rules, Listen to the Data

An A-Z Data Adventure on Cloudera’s Data Platform

Change The Way You Do ML With Applied ML Prototypes

Apiumhub among top IT industry leaders in Code Europe event

New live online training courses

219+ live online training courses opened for June and July

Top Data science books you should definitely read

No-code business intelligence service y42 raises $2.9M seed round

Analytics Engineer: Job Description, Skills, and Responsibilities

Data Virtualization: Process, Components, Benefits, and Available Tools

Data Summit 2023 Event Recap

How to use Multiple Databricks Workspaces with one dbt Cloud Project

Hire ETL Developer in Ukraine

Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft - Untitled Article

Technology Trends for 2023

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

An Overview of Real Time Data Warehousing on Cloudera

The Multifaceted Value Proposition of the Cloudera Data Platform

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