IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 78

Data Science Analytics Analytics Data Scientist 78

Pickl AI

JANUARY 16, 2024

Predictive Modeler Harnessing the power of algorithms to forecast future trends, aiding businesses in strategic decision-making.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

Alation

SEPTEMBER 7, 2021

Organizations need to ensure that data use adheres to policies (both organizational and regulatory). In an ideal world, you’d get compliance guidance before and as you use the data. Imagine writing a SQL query or using a BI dashboard with flags & warnings on compliance best practice within your natural workflow. In Summary.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

Pickl AI

DECEMBER 4, 2023

Profession Description Average per year salary in India Skills required How to gain the skills Data Analyst Responsibilities include collecting, processing, and analysing data to help organisations make informed decisions. 6,20000 Analytical skills, proficiency in Data Analysis tools (e.g., 12,00000 Programming (e.g.,

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

phData

AUGUST 10, 2023

The implementation of a data vault architecture requires the integration of multiple technologies to effectively support the design principles and meet the organization’s requirements. The most important reason for using DBT in Data Vault 2.0 Managing a data vault with SQL is a real challenge.

SQL 52

SQL Data Observability Data Quality Data Pipeline 52

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.

Power BI 84

Power BI Analytics Analytics Azure 84

Alation

JULY 19, 2022

The traditional data science workflow , as defined by Joe Blitzstein and Hanspeter Pfister of Harvard University, contains 5 key steps: Ask a question. Get the data. Explore the data. Model the data. A data catalog can assist directly with every step, but model development.

Data Scientist 59

Data Scientist Data Quality Data Analyst Data Science 59

phData

JULY 18, 2023

CDWs are designed for running large and complex queries across vast amounts of data, making them ideal for centralizing an organization’s analytical data for the purpose of business intelligence and data analytics applications. This enables an automated continuous integration/continuous deployment system (CI/CD).

Data Warehouse 52

Data Warehouse SQL Analytics Analytics 52

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. Relationships in Tableau 2020.2 (May

Tableau 145

Tableau ML ML Database 145

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. Relationships in Tableau 2020.2 (May

Tableau 98

Tableau ML ML Database 98