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How Essilor Achieved Scale and Efficiencies with Data

Learn how Essilor AMERA has evolved to balance scalability and cost. Leslie Toh, Director of Enterprise Architecture & Integration, Essilor, and Deddy Johari, Deputy Director and Senior Solution Architect, iZeno, present how to: Choose your Hadoop distro in a ready-to-run Docker environment Explore real-world scenarios using Spark, Kafka, MapReduce & NoSQL Learn how to optimize your data flow from our experts

Big Data Integration

Talend Makes Big Data Integration Easy, Fast, and Affordable Big data integration is a key operational challenge for today's enterprise IT departments. IT groups may find their skill sets, workload, and budgets over-stretched by the need to manage terabytes or petabytes of data in a way that delivers genuine value to business users. Talend, the leading provider of open source data management solutions, helps or READ RESOURCE

Talend's ETL Tool

Talend Open Studio for Data Integration: The Powerful ETL Tool You Can Use Today IT groups tasked with implementing extract, transform, and load (ETL) projects have traditionally been forced to choose between two time-consuming options: develop a custom ETL tool from scratch; or try to win approval for purchasing an expensive proprietary ETL tool. With Talend Open Studio for Data Integration, busy IT departments now have a new and better option: a powerf READ RESOURCE

Executive Summary: A Practical Guide to Data Privacy Compliance and Governance

The rise of data privacy regulations and the increasing risk of data theft have made data protection an essential part of any data-driven strategy. This executive summary gives you a quick overview of the risks and regulations related to data privacy, and a framework for addressing both without compromising on customer experience.

Data Governance & Sovereignty: 16 Practical Steps towards Global Data Privacy Compliance

Data protection and cybersecurity have become a major concern of governments and citizens worldwide. As a result, compliance with some type of data privacy regulation most likely applies to your organization. This white paper by data governance expert Sunil Soares provides an overview of data protection and sovereignty legislation in APAC, Europe (GDPR) and North America as well as a practical approach for compliance. Learn how to:

Fundamentals of Machine Learning

In the last few years, Machine Learning has quickly gone from a niche subject to one with significant relevance to many companies and organizations. Across industries ranging from pharmaceuticals and healthcare, to retail and financial services, Machine Learning has become more widely used for solving new business requirements. But just what is Machine Learning and how does it work? Just how do you teach a machine to learn? Machine Learning at its most basic is the practice of using a

Big Data Quality

The Open Source Solution for Big Data Quality Management With the advent of big data, data quality management is both more important and more challenging than ever. Fortunately the combination of Hadoop open source distributed processing technologies and Talend open source data management solutions bring big data quality operations within the reach of any organization. [resource-download resource_sync_code="1003 READ RESOURCE

The Future of Big Data

Big data is the catch-all term used to describe gathering, analyzing, and using massive amounts of digital information to improve operations. The evolution of the term has coincided with the rise of digital technology. As businesses gather and use an ever-increasing amount of information, IT professionals developed new methods for making sense of petabytes of data that overwhelmed traditional processes. Big data became the phrase to describe data sets that wer READ RESOURCE

ETL Tools: Evaluating Tools for Cloud-Based ETL

Extract/Transform/Load (ETL) tools are the applications and processes used to turn raw data collected from transactions into clean information and actionable business intelligence. In enterprise environments, petabytes of data move through ETL processes. Data ingested from sources like customer input, security interactions, application feedback, and more, then performing a series of tasks to transform this information before loading it into a working database or data warehouse. READ RESOURCE

ETL vs ELT: The Difference Defined

The difference between ETL and ELT lies in where data is transformed and how much data is retained in working data warehouses. Extract/transform/load (ETL) is an integration approach that pulls information from remote sources, transforms it into defined formats and styles, then loads it into databases, data sources, or data warehouses. . READ RESOURCE
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