ParkMyCloud

MAY 29, 2019

Business Intelligence Analyst. A BI analyst has strong skills in database technology, analytics, and reporting tools and excellent knowledge and understanding of computer science, information systems or engineering. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Capgemini

NOVEMBER 14, 2022

The role of self-service BI for business agility Myles Suer 9 Nov 2022. But this requires data accessibility for every worker. Let’s look at how to best deliver the potential of self-service BI, demonstrating how an innovative business-centric catalog puts data at the fingertips of decision makers.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Users can easily create a wide range of data-intensive, yet intelligible reports and dashboards and share obtained insights. What is Power used for?

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

TIBCO - Connected Intelligence

DECEMBER 20, 2021

TIBCO DQ will become the new data quality product family, through an evolution of our current data quality offerings, significantly enhancing current capabilities available throughout the TIBCO data fabric with built-in AI and ML to automate quality, detection, monitoring, and anomaly resolution.

Innovation 26

Innovation Analytics Virtualization Cloud 26

Altexsoft

DECEMBER 14, 2022

Also, Stack Overflow Developer Survey 2022 showed that Docker became a fundamental instrument for being a developer with 69 percent of professional programmers choosing it as their number one tool. Source: Stack Overflow Developer Survey 2022. Docker Certified Associate 2022 by Udemy. million apps at a rate of 14.7

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

APRIL 13, 2023

To store all this diverse information, you’ll have to utilize a centralized data repository such as a data warehouse or data lake. You can also consider a cloud data lakehouse as an option since it addresses the limitations of the aforementioned repository types and works with various data workloads. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Datavail

MARCH 10, 2022

According to Gartner, only 20 percent of analytics insights will deliver business results through 2022. In other words, 80 percent of companies’ Big Data projects will fail and/or not deliver results. There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame.

Government 40

Government Strategy Weak Development Team Company 40

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). You can intuitively query the data from the data lake.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Altexsoft

SEPTEMBER 9, 2022

Among other nominations, Atlan was named a Gartner 2020 Cool Vendor in DataOps and elected as a leader in The Forrester Wave Enterprise Data Catalogs for DataOps, Q2 2022. Data Discovery, Column-level Lineage, Data Governance, Data Glossary, and others. Data Quality & Observability.

Tools 59

Tools Technical Review Software Review Systems Review 59

CIO

APRIL 4, 2023

Layered on top of that are the different types of data stored in various siloes and locations throughout an organization. A complex data landscape prevents data scientists and data engineers from easily linking the right data together at the right time. It all adds up to a “perfect storm” of complexity.

Architecture 130

Architecture Data Analysis Construction 130

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Read why the future of data lakehouses is open.

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

Altexsoft

NOVEMBER 22, 2019

The importance of collecting and structuring guest data is reflected in a recent survey among hotel chains across the world. It shows that by 2022 Customer Relationship Management (CRM) will become the number one investment priority for hoteliers. Data processing in a nutshell and ETL steps outline.

Hotels 18

Hotels Data Technical Review Systems Review 18

Altexsoft

JULY 19, 2022

Since that time, the data mesh concept has received a lot of attention and appreciation from companies pioneering this idea. It took three years for her book “Data Mesh: Delivering Data-Driven Value at Scale” to finally see the world in March 2022. And it’s their job to guarantee data quality. It works like this.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. For this task, you need a dedicated specialist — a data engineer or ETL developer.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

JULY 29, 2022

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. According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. a suitable technology to implement data lake architecture. Robust community.

Big Data 59

Big Data Data Google Cloud Storage 59