Full Resource Library

Better Data Quality for All (US)

Can your data be trusted? Bad data affects everyone in the organization as well as your bottom line. Find out how easy it can be to master data quality across your data infrastructure with the right self-service tools and automated processes. In this 45-minute webinar you will learn how to use cloud-based tools to make data better for all: Use point-and-click tools and smart guides to prepare, filter, and cleanse data Sto WATCH VIDEO

What is a Data Lake?

The digital universe is doubling in size every year, and is expected to reach 44 trillion gigabytes by 2020. Up to 90 percent of that data is unstructured or semi-structured, which presents a two-fold challenge: find a way to store all this data and maintain the capacity to process it quickly. This is where a data lake comes in. What READ RESOURCE

Practical Steps to Data Governance

How do you rein in data in the cloud age without compromising data-driven initiatives? A strong data governance program ensures that you have the policies, standards, and controls in place to protect data effectively and access it for decision making. Watch for Practical Steps to Data Governance. Part II in our Data Privacy and Governance Series will show you how to: Map critical data elements across datasets using metadata Foster accountability with

What is MapReduce?

In today's data-driven market, algorithms and applications are collecting data 24/7 about people, processes, systems, and organizations, resulting in huge volumes of data. The challenge, though, is how to process this massive amount of data with speed and efficiency, and without sacrificing meaningful insights. This is where the MapReduce programming model comes to rescue. Initially used by Google for analyzing its search results, MapReduce gained massive popularity due to its ability READ RESOURCE

Data Lake vs Data Warehouse

Data lakes and data warehouses are both widely used for storing big data, but they are not interchangeable terms. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose. The two types of data storage are often confused, but are much more different than they are alike. In fact, the only real similarity between them is their high-level purpose READ RESOURCE

ETL Testing: An Overview

ETL—Extract/Transform/Load—is a process that extracts data from source systems, transforms the information into a consistent data type, then loads the data into a single depository. ETL testing refers to the process of validating, verifying, and qualifying data while preventing duplicate records and data loss. ETL testing ensures that the transfer of data from heterogeneous sources to the central data war READ RESOURCE

Social Data

Get actionable intelligence from social data with innovative tools. Social data can be a veritable gold mine of information for today's enterprises. Because social data directly represents the sentiments and perspectives of millions of people worldwide, savvy organizations can use it to find prospects, target customers, personalize communication, identify trends, track markets and monitor corporate reputation. But while social data is everywhere and ripe for picking, getting READ RESOURCE

[Talend Studio] Accessibility Conformance Report

Name of Product/Version: Talend Studio - 6.5.1 Product Description: Talend Studio is an Eclipse-based easy-to-use graphical development environment that allows for interaction with d READ RESOURCE

NoSQL Databases

NoSQL databases are critical for managing big data. NoSQL databases are an essential part of working with big data today. NoSQL databases provide the speed, scalability and performance it takes to work with massive data sets for social data mining, sensor data analytics, capital markets analysis, and other real time big data scenarios. Relational databases, long the standard in data storage, can't keep up with the READ RESOURCE

NoSQL Database

The NoSQL database is powering big data. The NoSQL database is quickly becoming indispensable for companies seeking to take advantage of big data. Designed as a faster, more scalable alternative to relational databases, the NoSQL database offers the kind of performance and processing power it takes to handle big data. A NoSQL database can also handle much more diverse data formats, integrating social data, sen READ RESOURCE
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