Advertisement

Data Cleansing: Why It’s Important

Click to learn more about author Avee Mittal. Data cleansing is an important step to prepare data for analysis. It is a process of preparing data to meet the quality criteria such as validity, uniformity, accuracy, consistency, and completeness. Data cleansing removes unwanted, duplicate, and incorrect data from datasets, thus helping the analyst to develop […]

Elastic Adds Machine Learning into the Elastic Stack

by Angela Guess A new press release reports, “Elastic, the company behind Elasticsearch, and the Elastic Stack, the most widely used collection of open source products for solving mission-critical use cases like search, logging, and analytics, announces the introduction of their first machine learning capabilities in Elastic’s 5.4 release. Based on the recent acquisition of […]

Self-Service Data Preparation Eliminates HR Reporting and Compliance Woes

Click here to learn more about author Jon Pilkington. HR professionals are widely recognized for hiring new talent, minimizing churn, and playing a tremendous role in keeping employees happy and the business running smoothly. But, behind the scenes, the job entails endless HR reporting and compliance requirements. And because most organizations remain dependent on a variety […]

Looker Launches Support for Amazon Athena

by Angela Guess According to a recent press release, “Looker today launched support for Amazon Athena – the new interactive query service for data in Amazon Simple Storage Service (Amazon S3) that AWS unveiled at its re:Invent conference in November. The Looker connection to Amazon Athena is available immediately. Because Looker’s unique platform design is […]

Data Preparation Tools Market To Gain From Enhanced Demand In End-Use Industries

by Angela Guess A recent press release reports, “Data preparation entails combining data from numerous sources and formulating it for the auxiliary analysis. Factually, data preparation, till date, has been accomplished by attuning the dynamic combinations of relational data sets demanding specialized expertise. The magnitude of contemporary data preparation tools extends to data attained from […]