datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Take our interactive product tour to get an impression of CDF-PC in action or sign up for a free trial.

Enterprise 102

Enterprise Data Lake Data Collection Data-driven 102

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Take our interactive product tour to get an impression of CDF-PC in action or sign up for a free trial. Data Center

Enterprise 59

Enterprise Data Lake Data Collection Data-driven 59

Cloudera

JUNE 16, 2022

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. SSB provides a comprehensive interactive user interface for developers, data analysts, and data scientists to write streaming applications with industry standard SQL.

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

AWS Big Data

FEBRUARY 1, 2023

AWS Glue Data Catalog The Data Catalog helped us maintain the catalog as an index to the data’s location, schema, and runtime metrics in Amazon S3. Information in the Data Catalog is stored as metadata tables, where each table specifies a single data store. Vipul Verma is a Sr.Software Engineer at Amazon.com.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Jet Global

MAY 27, 2021

Chrome: September 2015. While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Speak to the users themselves to understand how the reports are used, how they subsequently interact with the data, and which reports are critical.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

Domino Data Lab

JULY 2, 2019

For more background about program synthesis, check out “ Program Synthesis Explained ” by James Bornholt from 2015, as well as the more recent “ Program Synthesis in 2017-18 ” by Alex Polozov from 2018. Interactive Query Synthesis from Input-Output Examples ” – Chenglong Wang, Alvin Cheung, Rastislav Bodik (2017-05-14). SQL and Spark.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JANUARY 24, 2023

In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API simplifies access to Amazon Redshift because you don’t need to configure drivers and manage database connections. Run the script using the following command: /script.sh

Analytics 59

Analytics Data-driven Management Reporting 59

Cloudera

MAY 16, 2018

This example combines three types of unrelated data: Legal entity data: Two companies with completely unrelated business lines (coffee and waste management) merged together; Unstructured data: Fraudulent promotion campaigns took place through press releases and a fake stock-picking robot.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

Domino Data Lab

FEBRUARY 4, 2019

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. First, aspiring data scientists would do well to read up on media studies. Friction ensued.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66