Full Resource Library

How an ESB Simplifies Application Integration

Today, innovative organizations are embracing the Enterprise Service Bus (ESB) because it addresses all the headaches, roadblocks, and error that stems from the P2P integration style, and makes application integration headaches a thing of the past.

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Pillars to GDPR Success: Data Access and Portability (5 of 5)

The GDPR gave consumers more rights to own their own data, and part of those provisions require organizations to provide access at any time. The final pillar of our 5 Pillars to GDPR Compliance philosophy is providing data access and portability, as a means to respect the data subject’s rights.

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What is Apache Spark?

Apache Spark is one of the most powerful tools available for high speed big data operations and management. Spark’s in-memory processing power and Talend’s single-source, GUI management tools are bringing unparalleled data agility to business intelligence.

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5 Ways to Optimize Your Big Data

Big data is only getting bigger, which means now is the time to optimize. Optimizing big data means (1) removing latency in processing, (2) exploiting data in real time, (3) analyzing data prior to acting, and more. Learn how to get started today.

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What is Data Redundancy?

Data redundancy occurs when the same piece of data is held within a database or data storage technology. Data can reoccur in two different fields within a single database, or two different spots in multiple software platforms or environments. Learn how MDM can avoid data redundancy and the problems it causes.

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Preparing for GDPR

The General Data Protection Regulation (GDPR) is a European Union regulation that will take effect on May 28, 2018, and failure to comply with GDPR can expose your organization to a penalty of up to 4% of global revenue. Get all the details and resources you need to make sure your organization is prepared for GDPR.

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What is Business Intelligence (BI)?

Business intelligence (BI) is the processes, technologies, skills, and applications used to make informed, data-driven business decisions. It includes data collection, data aggregation, analysis, and meaningful presentation that facilitates decision-making.

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What is a Data Mart?

A data mart is a subject-oriented database that meets the demands of a specific group of users. Data marts accelerate business processes by allowing access to information in a data warehouse or operational data store within days as opposed to months or longer.

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What is a Data Warehouse?

A data warehouse is a large collection of business data used to help an organization make decisions. It is the foundational component of business intelligence efforts. Learn how data warehouses work, how they are different from databases or data marts, why they are moving to the cloud, and more.

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What is a Data Lake?

A data lake is a central storage repository that holds big data from many sources in a raw format. The benefits of the data lake format are enticing many organizations to ditch their data warehouses. Discover what sets data lakes apart, why they are becoming more popular, and how to start building one.

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What is MapReduce?

MapReduce is a programming model or pattern within the Hadoop framework that is used to access big data stored in the Hadoop File System (HDFS). The map function takes input, pairs, processes, and produces another set of intermediate pairs as output.

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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.

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