Features
Features
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Key factors for successful data lake implementation
There are many important parts to a data lake implementation, from technology to governance. Read on for the top factors to evaluate in your implementation strategy. Continue Reading
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Surprising insight on the data governance process
Many enterprise data governance processes have been around for a while. Read on for ways a modern approach can be beneficial, and preview a new book that can update your strategy. Continue Reading
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10 chief data officer trends that are reshaping the role
The chief data officer role is appearing in more industries and changing in responsibilities. Experts talk about the ways the position is evolving across enterprises. Continue Reading
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Yellowbrick CEO outlines hybrid path to cloud data warehouse
Neil Carson, co-founder and CEO of Yellowbrick, details the state of data warehouse market and outlines use cases for hybrid on-premises and cloud deployments. Continue Reading
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Choosing a modern data warehouse to fit your data needs
Choosing the right modern data warehouse for your enterprise data is a large task. Here are the key evaluation points to consider when choosing your platform. Continue Reading
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Data growth spawns enterprise data management system challenges
Enterprises are creating and using more data and storing more of it in the cloud. If they use that data strategically, they can improve business outcomes. Continue Reading
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Organization and automation ease data preparation process
By laying down proper groundwork and investing in automated checks, companies can ease the data preparation process and ensure they are getting the most out of their data. Continue Reading
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GDPR, CCPA, cloud drive security management tool makeovers
As data protection and privacy laws like GDPR and CCPA take hold, data managers refine governance practices, while vendors enhance traditional big data security tools. Continue Reading
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Improving enterprise data governance with data trust
Talend users from Covanta and AutoZone provide insight into data management challenges amid growing data complexity at the Talend Connect virtual conference. Continue Reading
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Benefits of a data catalog and why you need one
Data catalogs help across enterprises, from breaking down data silos to ensuring data privacy. A new book from Technics Publications explains the benefits of data catalogs. Continue Reading
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Instaclustr CTO on open source database as a service
Ben Bromhead, co-founder and CTO of Instaclustr, provides insight into the state of the open source database-as-a-service market as COVID-19 changes priorities and traffic flows. Continue Reading
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Alternative data in finance holds potentials and risks
Alternative data sources, when verified as reliable and trustworthy, can be an essential tool for financial institutions when it comes to gathering information. Continue Reading
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Building a strong data analytics platform architecture
A strong analytics platform is key to meeting demands in a data-driven business. Read on for the key components your platform architecture should include. Continue Reading
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Top -- and bottom -- 5 Apache Kafka use cases
Apache Kafka has many applications in big data, but what enterprise use cases are the best fit for the tool? Experts discuss where Kafka works best for your data. Continue Reading
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How to ensure your data lake security
Your data lake is full of sensitive information and securing that data is a top priority. These are the best practices to keep that information safe from hackers. Continue Reading
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How a logical data fabric can improve data management
As data continues to grow across different sources, speakers at the Fast Data Strategy virtual summit outline how a logical data fabric approach can help. Continue Reading
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Building a database application the DIY way
Business users experience the trials, tribulations and exultations of building a DIY DBMS, especially when IT expertise is not readily available or costs are too high. Continue Reading
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Data governance and COVID-19 data security challenges
Maintaining data governance and data security best practices is essential now more than ever. But the increase in working from home can put a strain on those practices. Continue Reading
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How the GraphQL Foundation is enabling data graphs
The GraphQL Foundation has grown over the course of its first year as database and application developers adopt the API layer approach to connecting different data sources. Continue Reading
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Master data management best practices for insurers
For insurers, master data management holds the potential to make how they operate more efficient and effective but requires company commitment and investment. Continue Reading
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Using DataOps to create business value from big data
Now is the time to take all that data your organization has amassed through the years and, with DataOps, use it to make actionable business decisions. Continue Reading
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Common data lake challenges and how to overcome them
Managing the data contained in your enterprise data lake presents many challenges. From the amount of data to data inconsistencies, here are some solutions to common issues. Continue Reading
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Chief data officer role advances enterprise data governance
With organizations of all sizes coping with the impact of COVID-19, the importance of enterprise data governance and chief data officers is coming into sharper focus. Continue Reading
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The business benefits of enterprise data governance and MDM
Data leaders from prominent large organizations provide insights into data governance best practices and benefits, at Informatica's MDM 360 and Data Governance virtual conference. Continue Reading
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How data governance and data management work together
Data governance is an important part of data management. These recommendations will help build a strong complementary relationship between the two strategies. Continue Reading
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How to build an effective streaming data architecture
Data architecture can be tricky when it comes to real-time analytics. Clear objectives and scalability are important factors when determining the streaming data architecture you need. Continue Reading
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Pros and cons of the 4 best IPaaS software options
Integrating with your cloud data? Choosing between IPaaS software and vendors can be difficult. Here is a breakdown of four of the top-choice vendor offerings on the market. Continue Reading
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The rise of multimodel databases to support data variety
Polyglot persistence has been the predominant answer to supporting diverse data models. But to optimize a variety of data, multimodel databases have been gaining popularity. Continue Reading
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Data hub vs. data lake: Deciphering the differences
Data lakes and data hubs are approaches to data management that are typically opposed. Here are the main differences between these two storage options. Continue Reading
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3 of the top use cases for graph databases
Graph databases establish many unique relationships between data points. These unusual relationships are beneficial in many use cases, but here are the top three. Continue Reading
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Data governance metrics: Data quality, data literacy and more
Statistics on data quality are the most common metrics used to track data governance programs, but other types of data-related measurements also can be applied. Continue Reading
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Breaking down data silos with strong data governance
Not having a single source of truth can be a huge issue for data professionals. But strong data governance policies can prevent data silos and lead to better-quality data. Continue Reading
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Where InfluxDB time series database is going
Users need more than SQL for querying databases, according to Paul Dix, co-founder and CTO of InfluxData. That's why the vendor created the Flux data scripting and query language. Continue Reading
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Analytics demands add loftier goals to data warehouse strategies
As the concept of storing data and the technologies needed to do it evolve, companies with set goals in mind are building their data warehouses to maximize analytics outcomes. Continue Reading
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Evaluate your data governance and privacy best practices
GDPR and CCPA have put data governance in the news. With this increase in data legislation, now is a great time to review your company's data governance policies. Continue Reading
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NuoDB set to improve distributed SQL performance
Ariff Kassam, CTO of distributed SQL database vendor NuoDB, outlines how his company has embraced cloud native and hints about what's to come in the year ahead. Continue Reading
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Evaluating data warehouse platform options and your need for one
There's still a place for data warehouses in data architectures. But first, ask whether your organization needs one and what type of technology platform is the best fit. Continue Reading
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How to improve data governance for self-service analytics
Citizen data scientists and self-service analytics are on the rise as the data scientist shortage continues. Here are some data management best practices to support them. Continue Reading
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Evaluating the different types of DBMS products
The various types of database software come with advantages, limitations and optimal uses that prospective buyers should be aware of before choosing a DBMS. Continue Reading
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Q&A: The challenges of cloud-native data management
Cloud native data management isn't usually the first thing on anyone's mind, acknowledges Portworx co-founder and CTO Goutham Rao -- but find out how it's become part of organizations' journey. Continue Reading
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Data catalog management for analytics fraught with unique demands
Data catalogs for analytics applications demand detailed assessment of user needs, cross-functional teams, ready access, continuous improvement and a self-sustaining system. Continue Reading
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How to streamline feature engineering for machine learning
Structured data is necessary in machine learning, but sifting through data is time consuming. Streamlining the feature engineering process can help data scientists be more productive. Continue Reading
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Top database cloud migration considerations for enterprises
Many organizations are switching to cloud databases and big data platforms. But understanding what option best meets your data needs is an important first step. Continue Reading
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Oracle looks to grow multi-model database features
Decade after decade, Oracle continues to be relevant in the database market as it pivots to include an expanding list of capabilities to serve users, notably cloud. Continue Reading
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Future of MongoDB could be brighter than other NoSQL engines
Top NoSQL database MongoDB, once thought of as a revolution in data management, has come back to Earth some, but it still has a chance to stay ahead of competitors. Continue Reading
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How AI could save the enterprise data catalog
Enterprise data catalogs record all the databases and files in a corporation, but sometimes it can become out of date. Advances in AI are helping minimize the problem. Continue Reading
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Managing unstructured data is crucial to enterprises' AI goals
Unstructured data makes up a huge portion of most businesses' data volume. But, with data-hungry AI systems coming online, making sense of these stores has never been more important. Continue Reading
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Data silos and culture lead to data transformation challenges
Data continues to grow at a rapid rate, and users are faced with increasing complexity and challenges to make sense of it all in a way that helps improve business outcomes. Continue Reading
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How enterprises navigate GDPR data management rules
For businesses that operate in the EU, complying with GDPR has to be a top priority. And in many, much of the compliance burden falls on the data management staff. Continue Reading
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Data integration vs. ETL in the age of big data
Data integration provides a consistent view of business performance across multiple data sources, though it needs to keep up with the changing needs of organizations and the big data revolution. Continue Reading
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DOD CDO shares 7 data management best practices
The DOD's first chief data officer, Michael Conlin, shares tips on how organizations can modernize their data management practices with the objective of matching private enterprise. 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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Align business and IT drivers through data quality best practices
Information management consultants talk about the importance of aligning business and IT drivers for a holistic architectural approach to ensuring strong data quality. Continue Reading
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Database management tools from third parties make natives restless
Third-party database performance tools offer attractive alternatives to management software from DBMS vendors, provided their capabilities include orchestration, governance and integration. Continue Reading
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Weighing the use of third-party database administration tools
Database expert Chris Foot details the key reasons why DBAs should consider using third-party database administration to fill gaps left by the major database manufacturers. Continue Reading
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How big tech breakup would affect the tech industry
Breaking up the tech giants would be difficult and might create initial chaos in market, help smaller competitors and potentially raise prices for enterprises. Continue Reading
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10 Apache Kafka best practices for data management pros
How can data management teams most effectively deploy and use Apache Kafka in data pipelines and streaming applications? Here are some key guidelines to follow. Continue Reading
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Enterprise data marketplace aims to ease self-service chaos
Self-service data preparation can duplicate work and slow down analytics. One possible fix: an internal marketplace where users can 'shop' for data assets. Continue Reading
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Data management roles: Data architect vs. data engineer, others
Veteran data pro Michael Bowers differentiates between key data management positions, including their salaries and which ones can add the most business value. Continue Reading
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Information Builders exec talks data management ethics
In this Q&A, James Cotton, director of the Data Management Centre of Excellence at Information Builders, offers advice on how organizations can carry out ethical data management. Continue Reading
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Key components of an effective data virtualization architecture
Experts break down which elements -- both technical and nontechnical -- are most crucial to successfully deploying and managing a data virtualization architecture. 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
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Container technologies promise more agility for big data apps
Along with the ability to provide greater agility and flexibility for big data applications, containers can play a role in IT strategy that drives real-time decision-making. Continue Reading
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Using a LEFT OUTER JOIN vs. RIGHT OUTER JOIN in SQL
In this book excerpt, you'll learn LEFT OUTER JOIN vs. RIGHT OUTER JOIN techniques and find various examples for creating SQL queries that incorporate OUTER JOINs. Continue Reading
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Explore data integration products for your organization
Browse through the current data integration products currently available to help you determine which tool best suits your organization's needs. Continue Reading
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Data modeling techniques to overcome common business challenges
In this interview, author and data modeling instructor Steve Hoberman discusses techniques for dealing with challenges that may arise in the data modeling process. Continue Reading
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How 4 organizations are breaking down data silos
Siloed data continues to inhibit enterprise efficiency. Here, IT professionals discuss problems their organizations are facing around data silos -- and how they're solving them. Continue Reading
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A comparison of open source, real-time data streaming platforms
With so many real-time data streaming tools, how do you know which is right for your organization? Experts compare Spark Streaming, Kafka Streams, Flink and others. Continue Reading
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Data virtualization use cases cover more integration tasks
In a Q&A, Gartner analyst Mark Beyer discusses user adoption of data virtualization software and the wider data integration uses that the technology is now handling. Continue Reading
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Microservices and big data start to get closer
Microservices are riding a wave of user interest, leading to changes in IT operations. ThoughtWorks expert Zhamak Dehghani discusses what that means for big data. Continue Reading
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The main picks for Hadoop distributions on the market
Check out the current top Hadoop distribution vendors in the market to help you determine which product is best for your company. Continue Reading
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Inside view of Tibco integration architecture planning
Tibco's acquisitions of well-regarded, small software specialists such as SnappyData are part of a drive toward what it calls 'connected intelligence.' CTO Nelson Petracek provides background. Continue Reading
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Advice on enterprise data cleansing from an SAP VP
SAP's Kristin McMahon details data cleansing best practices and explains why a good data cleanse needs continual communication, collaboration and oversight. Continue Reading
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Data virtualization layer feeds logical data warehouse, Agile BI
Indiana University is using data virtualization to combine data from various source systems for analysis, as part of an initiative to improve strategic decision-making. Continue Reading
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Data modeling software tackles glut of new data sources
Data modeling platforms are starting to incorporate features to automate data-handling processes, but IT must still address entity resolution, data normalization and governance. Continue Reading
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Find the best data integration tools for your organization
Read analysis and comparisons of data integration tools to help you select the right platform from the leading commercial and open source products currently on the market. Continue Reading
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Data model design tips to help standardize business data
Data models should be understandable to business users and kept to a reasonable scope, say the leaders of a data modeling initiative at England's Environment Agency. Continue Reading
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Wayfair charts open source components course to growth
Teams at Wayfair mix new open source tools to power customer-facing apps. In such shops, tech leaders like Ben Clark must deftly maneuver an obstacle course of data components. Continue Reading
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4 factors to consider in a Hadoop distributions comparison
Examine the key characteristics necessary to evaluate in a Hadoop distribution comparison, focusing on enterprise features, subscription options and deployment models. Continue Reading
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USAA adds data engineering skills to speed data science work
When the United Services Automobile Association's data science team wasn't getting data in the right format, the team lead realized the USAA needed more data engineers. Continue Reading
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How data staging helped Walgreens transform its supply chain
Walgreens built a centralized data warehouse to give supply chain partners a better view into its data -- but analytics were slow. That's where a data staging tier came in. Continue Reading
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Evaluate the features of data integration tools and software
Before you evaluate and select data integration tools and software, assess which must-have, should-have and nice-to-have features match your organization's needs. Continue Reading
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Data integration platforms take users beyond ETL software
Discover how commercial data integration platforms help organizations manage and simplify the process of combining and sharing their increasing volumes of data. Continue Reading
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Augmented data management draws more enterprise interest
With AI and machine learning, organizations are starting to augment their data management. This is changing the way enterprise users capture, govern and integrate data. Continue Reading
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How to navigate the challenges of the data modeling process
Data modeling and curation can help businesses more efficiently use data they've collected. There are challenges, however -- beginning with ensuring data quality. Continue Reading
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8 tips to improve the data curation process
A data curation and modeling strategy can ensure accuracy and enhance governance. Experts offer eight best practices for curating data. First, start at the source. Continue Reading
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Explore Hadoop distributions to manage big data
Discover the uses of Hadoop distributions and the first steps in evaluating these products, as well as how the merger of rivals Cloudera and Hortonworks affects the market. Continue Reading
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DataOps is more than DevOps for data, Delphix CTO says
Data operations is young compared to DevOps, but it is increasingly used as part of projects that put data at the center of development. Here, Delphix CTO Eric Schrock makes observations about the trend. Continue Reading
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5 best practices for managing real-time data integration
Real-time data integration isn't like traditional data integration -- "it's moving, it's dirty and it's temporal," cautions one data pro. Experts offer up some best practices. Continue Reading
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Cloud data warehouse makes inroads as users spurn admin tasks
Overlooked in the run-up to Hadoop, data warehouses have found new life off premises. Cloud-based data warehouses find favor with teams that want to reduce warehouse administration. Continue Reading
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5 trends for SQL Server environments as SQL Server 2019 looms
SQL Server is undergoing new changes, as Microsoft prepares to release the 2019 version of the database software. Other changes are also on tap for SQL Server users. Continue Reading
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5 data management infrastructure technologies to evaluate
It's the start of a new year -- is your organization ready to face the data management challenges ahead? Here are five technologies to consider adopting. Continue Reading
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Advantages of graph databases: Easier data modeling, analytics
Graph databases are finding a place in analytics applications at organizations that need to be able to map and understand the connections in large and varied data sets. Continue Reading
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FaunaDB distributed cloud database hunts transactional NoSQL
Startup Fauna has built a "relational NoSQL" database for distributed transaction processing. Data consistency and speedy builds attracted early user ShiftX. Continue Reading
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Don't let blockchain complexity bog down business applications
Enterprise blockchain applications that run in a controlled environment don't require some of the components of cryptocurrency networks, explains expert David Teich. Continue Reading
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The most useful new features in Microsoft SQL Server 2019
SQL Server 2019 includes welcome new features, particularly updates to its indexing and high availability capabilities and added SQL Server on Linux functionality. Continue Reading
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Neo4j graph database targets AI use cases, performance
The Neo4j graph database is poised for use in AI applications, in which understanding data can stymie efforts. Recent updates target AI needs and performance issues. Continue Reading
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Cloud buoys data microservices -- for on-premises systems, too
Data in a microservices architecture is percolating anew. This news analysis looks at IBM Cloud Private for Data and other means to harmonize data in public and private locations. Continue Reading
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Mining equipment maker uses BI on Hadoop to dig for data
BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people. Continue Reading
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Open source RDBMS uses spurred by lower costs, cloud options
Open source technologies have become more capable alternatives to mainstream relational databases for cost-conscious users -- and the cloud makes them more accessible. Continue Reading