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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:

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.

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 algorith

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: Defining the Difference

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

iPaaS: What Cloud Integration Platforms Can Do for You

What is iPaaS? An integration platform as a service (iPaaS) is a managed solution for hosting, developing, and integrating cloud data and applications. The best iPaaS solutions include easy, graphic tools to help visualize and work with an overall business intelligence picture. Also referred to as a “cloud integration platform,” an iPaaS can provide everything from infrastructure and data warehousing to application design and DevOps environments. In an i READ RESOURCE

2017 Gartner Magic Quadrant for Data Integration Tools

Leading analyst firm Gartner, Inc. has once again recognized Talend as a Leader in the Magic Quadrant for Data Integration Tools report.¹ Data integration tools have become a transformational technology for modern business. Selecting the right platform for your evolving data architecture is a more strategic decision than e

What is Master Data Management?

Master data management (MDM) is the process of making sure an organization is always working with, and making decisions based on, one version of current, ‘true’ data—often referred to as a "golden record." Sounds simple, but in modern business environments, awash with constant streams of data, master data management may be one of the most complex business challenges. Ingesting data from diverse sources and presenting it as one constant, reliable source for verified, real-time in READ RESOURCE
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