Data integration
Most organizations draw data from multiple sources, including external ones. Data integration combines this data to create unified sets of information for tracking business performance and managing operations. Learn about data integration strategies to ensure information from multiple sources is consistent to meet users' data analysis needs across the organization.
New & Notable
Data integration News
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August 24, 2022
24
Aug'22
Zilliz raises $60M for open source Milvus vector database
The leading commercial backer behind the open source Milvus database project is looking to advance the technology to build out a database for AI application workloads.
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August 23, 2022
23
Aug'22
InfluxData eases event streaming data collection
The new Native Collectors service in the cloud is an attempt by the time series database vendor to let users connect to message broker services and event streaming data.
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August 19, 2022
19
Aug'22
PlanetScale reaches to the edge with serverless driver
The vendor continues to build out its database-as-a-service platform and is now aiming to make it easier for developers to connect to edge services.
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August 17, 2022
17
Aug'22
Arcion data pipeline updates for schema evolution
The vendor added new database support to its change data capture platform including for BigQuery and Imply, as well as features for schema update and data column transformations.
Data integration Get Started
Bring yourself up to speed with our introductory content
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GPS coordinates
GPS coordinates are a unique identifier of a precise geographic location on the earth, usually expressed in alphanumeric characters. Continue Reading
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An Azure Data Factory tutorial for beginners
Azure Data Factory can be used to create data pipelines to process data from multiple sources. Learn how to effectively create these pipelines within Azure Portal. Continue Reading
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most significant bit (MSB)
The most significant bit (MSB) is the bit in a multiple-bit binary number with the largest value. This is usually the bit farthest to the left, or the bit transmitted first in a sequence. Continue Reading
Evaluate Data integration Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Evaluate key Azure Data Factory benefits and limitations
Organizations have plenty of options for data integration tools, some on premises and others in the cloud. Find out which type is the better fit and whether Azure is a good choice. Continue Reading
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Best practices and pitfalls of the data pipeline process
Developing an effective data pipeline process is a key step for organizations to manage data sources, flow and quality. A data pipeline also ensures approved data access. Continue Reading
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Data architecture vs. information architecture: How they differ
Data architects collect the statistics and information architects put the numbers into context as they work symbiotically to bolster an enterprise's data and business strategies. Continue Reading
Manage Data integration
Learn to apply best practices and optimize your operations.
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Managing databases in a hybrid cloud: 8 key considerations
To manage and monitor hybrid cloud database environments, consider business and application goals plus costs, latency, security, stability, simplicity, tools and technical skills. Continue Reading
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6 key components of a successful data strategy
These six elements are essential parts of an enterprise data strategy that will help meet business needs for information when paired with a solid data architecture. Continue Reading
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5 principles of a well-designed data architecture
Here are five core data architecture principles to help organizations build a modern architecture that successfully meets their data management and analytics needs. Continue Reading
Problem Solve Data integration Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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10 big data challenges and how to address them
Bringing a big data initiative to fruition requires an array of data skills and best practices. Here are 10 big data challenges enterprises must be ready for. Continue Reading
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5 data integration challenges and how to overcome them
Automation can solve a lot of data integration problems, but not all of them. Learn about the top five data integration challenges and what else to do to overcome them. Continue Reading
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11 real-time data streaming roadblocks and how to overcome them
Experts detail common challenges that IT teams encounter when deploying and managing real-time data streaming platforms and offer advice on how to address them. Continue Reading