IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Apache Hadoop Apache Hadoop is a Java-based open-source platform used for storing and processing big data. Allows for batch processing.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Rita Sallam

JULY 22, 2016

The risk of switching existing system of record reporting that is working may be higher than the benefit, so the 45% of you maintaining these systems makes sense, but increasing users and content? Summary of Differences Between Traditional and Modern Business Intelligence Platforms by Analytic Workflow Component.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Grooper

AUGUST 19, 2019

The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs). Master data management. Data governance. Scoring – i.e. profitability or risk. Structured, semi-structured, and unstructured data. Data pipelines. Business Analytics. Data science skills.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54