Talend Cloud How-to #2: Moving Data from Salesforce to Snowflake
Learn how to move data from Salesforce.com into a Snowflake cloud data warehouse via Talend Cloud.
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Talend Cloud How-to #1: Get to Know Talend Cloud
Get an introduction to Talend Cloud and go inside Talend Open Studio to learn how the tMap, remote engine, and more than 900 connectors help make application integration easy.
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ETL in the Cloud: What the Changes Mean for You
Cloud-based ETL is a critical tool for managing massive data sets, and one that companies will increasingly rely on in the future.
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What is Data Mining?
Data mining analyzes massive volumes of data to discover insights that help businesses solve problems, mitigate risks, or seize new opportunities.
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Talend Big Data and Machine Learning Sandbox Cookbook
Learn more about the Talend Big Data and Machine Learning Sandbox, a virtual environment that utilizes Docker containers to combine the Talend Real-time Big Data Platform with some sample scenarios that are pre-built and ready-to-run.
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How to Move Data from Salesforce to AWS Redshift
Learn how to extract CRM data from Salesforce and load it into the Amazon Web Services (AWS) Redshift cloud data warehouse.
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What is ELT?
ELT is the process by which raw data is extracted, loaded, and transformed into a data lake or warehouse. In contrast to ETL, ELT provides faster loading.
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What is Data Portability?
Data portability is the capability to move data from one platform or service to another.
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What is Data Processing?
Data processing converts data in its raw form to a more readable format, to be interpreted by computers and utilized by employees throughout an organization.
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2 Key Challenges of Streaming Data and How to Solve Them
Data streams are changing how data-driven organizations operate. Get familiar with the two main challenges of streaming data and learn how to solve them.
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How to Enforce Compliance with Controls [GDPR Step 16]
The General Data Protection Regulation (GDPR) harmonizes data protection regulations and policies, and offers a detailed guideline on which aspects of data governance to focus on in order to protect the personal data of subjects. Learn how to enforce compliance across your organization with the right data tools.
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How to Set Up Data Sharing Agreements [GDPR Step 15]
The General Data Protection Regulation (GDPR) holds organizations & their vendors accountable for the protection of personal data. To ensure accountability & to assign clear responsibilities, legal data sharing agreements need to be set up. Learn to avoid messy situations during a breach & help protect personal data.
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How to Govern the Lifecycle of Information [GDPR Step 14]
The General Data Protection Regulation (GDPR) requires that organizations make data access and/or deletion easily available for data subjects. This requires companies to manage information lifecycle management (ILM), from creation through disposal, including consolidating data fragmented across systems.
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How to Govern Analytical Models [GDPR Step 12]
Analytical models feed off customer profiles to predict future behavioral patterns. The introduction of the General Data Protection Regulation (GDPR) requires ensuring that these do not interfere with the rights of data subjects. Learn how to make sure your organization is compliant.
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How to Stitch Data Lineage [GDPR Step 11]
Due to the General Data Protection Regulation (GDPR), organizations have to focus on data lineage of subjects, and track personal data through systems. By understanding lineage, organizations can tell who, when, and which system caused data to change, increasing data quality and security.
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How to Improve Data Quality [GDPR Step 10]
The General Data Protection Regulation (GDPR) pushes organizations to establish controls that allow data subjects to address personal information quality issues in a timely manner. Automated solutions and self-servicing tools can make it easy.
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How to Conduct Vendor Risk Assessments [GDPR Step 9]
Vendor risk assessment is a subset of data protection impact assessment impacted by the General Data Protection Regulation (GDPR). Most organizations examine internal systems, but often overlook third parties — suppliers and service providers.
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How to Conduct Data Protection Impact Assessments [GDPR Step 8]
The General Data Protection Regulation (GDPR) mandates a data protection impact assessment (DPIA) when data processing could pose a high risk to data subjects’ rights. A DPIA analyzes if a change to the process may compromise a subject’s privacy.
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How to Establish Data Masking Standards [GDPR Step 7]
The General Data Protection Regulation (GDPR) recognizes that some personal data can reveal a person’s identity, while other data may be processed or stored in a way that keeps the identity confidential. Data masking is an important part of GDPR compliance.
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How to Define Acceptable Use Standards for GDPR [GDPR Step 6]
Defining acceptable use standards for the way personal data is processed is the core of the General Data Protection Regulation (GDPR). Automated mechanisms to understand, store, and interpret the data landscape help with adhering to GDPR guidelines.
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How to Establish Data Collection Standards [GDPR Step 5]
It’s important to establish data collection standards with the General Data Protection Regulation (GDPR) coming into effect Data comes from everywhere in the big data era, so standards have to be set from both technology and process perspectives.
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How to Identify Critical Datasets and Critical Data Elements [GDPR Step 4]
Being able to identify critical datasets and critical data elements is crucial for GDPR compliance, but it’s not always easy. It requires a clear understanding of personal data and how it is stored, used, and protected.
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How to Confirm Data Owners [GDPR
Step 3]
In the context of General Data Protection Regulation (GDPR), data owners are accountable for the quality, integrity, and protection of the data they own. Establishing data owners is an important step for GDPR compliance.
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The Importance of Creating Data Taxonomy [GDPR Step 2]
With GDPR coming into effect, creating data taxonomy—the classification of data into categories and subcategories—is vital. Data taxonomy makes it easier to run profiling, clean data, and employ common terminologies and semantics across systems.
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How to Develop Policies, Standards, and Controls [GDPR Step 1]
The GDPR has caused many organizations to revamp their data governance. Even organizations not in the European Union (EU) but that process EU client personal data must be GDPR compliant. Learn how to develop policies and controls that meet GDPR standards.
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