Features

Features

• Database security issues shadow distributed data architectures

  As companies distribute data across various platforms, they may need to pay more attention to securing it in databases and other repositories where security is far from baked in.  Continue Reading

• Data management processes take on a new tenor in analyst's view

  Changes in data management processes -- including self-service data preparation, data lakes and real-time analytics -- create a new landscape in companies, according to analyst Matt Aslett.  Continue Reading

• Rising database security threats require attention -- and action

  Data management teams are asking more questions about data security, Gartner analyst Merv Adrian says in a Q&A. But new factors are complicating the process of securing databases, he adds.  Continue Reading

• Former LinkedIn tech lead now charts Kafka streaming wave at Confluent

  It started as a messaging bus, handling LinkedIn's big data. Now, Kafka underpins wider efforts. In a Q&A, Confluent CTO Neha Narkhede marks Kafka's path to a data streaming platform.  Continue Reading

• Big data teams get proactive on data preparation for analytics users

  Organizations are starting to prepare sets of big data for analysis before making the data available to data scientists and other users, instead of leaving the work to them.  Continue Reading

• DMBOK2 eyes evolving data management best practices, challenges

  In a Q&A, DAMA president Sue Geuens talks about the second edition of the group's DMBOK reference book and how data management trends and processes have changed since the first version.  Continue Reading

• High-level tools help Hadoop data lake go to school

  Moving relational data into Hadoop isn't a slam dunk. To avert programming complexities, a major Texas university turned to commercial tools to stock its Hadoop data lake.  Continue Reading

• Data monetization takes three routes to turn data into dollars

  Data monetization is not monolithic. Instead, it takes several forms, according to MIT researcher Barbara Wixom. Each approach has its own unique traits.  Continue Reading

• Data lake management, governance a hands-on job for big data teams

  Deploying big data systems is just the first step for IT and data management teams. The next big challenge is setting up systems and processes for governing data lakes.  Continue Reading

• Data governance tools for Hadoop infiltrate the enterprise

  Be it open source or commercial technology, software designed to ensure proper data governance in Hadoop data lakes is proliferating. But like many big data systems, these tools are still maturing.  Continue Reading

• Big data queries eyed to head off Hadoop performance problems

  Processing in big data systems can slow to a crawl if queries are not properly tuned or workloads not well balanced -- issues that call for careful monitoring of clusters.  Continue Reading

• Hadoop data governance takes hold in companies as data gets 'bigger'

  LinkedIn, Cleveland Clinic and fitness company Beachbody are examples of organizations that have increased their data governance efforts in connection with big data applications.  Continue Reading

• Four data management conferences on big data, governance and more

  It's not too late to consider signing up for data management conferences in June. Here's a quick rundown of four events focused on Hadoop, Spark, data governance and other topics.  Continue Reading

• Mixed metadata, master data management process a must for mobile apps

  The growing use of mobile devices by business users broadens the risk of data inconsistencies, a hazard that an integrated process for managing metadata and master data can help address.  Continue Reading

• Building a data lake takes meticulous planning -- and flexibility

  Data lakes offer a more expansive alternative to data warehouses for analytics uses. TDWI analyst Philip Russom offers advice on how to get things right in a data lake architecture.  Continue Reading

• Q&A: Big data leads to bad insights without a data governance plan

  Big data holds the potential to provide invaluable insights for business growth, but only if data governance is part of the plan.  Continue Reading

• TDWI finds big data approaches that move jobs from POC to production

  Big data approaches outlined in a TDWI maturity model help bridge the chasm between proof of concept and production. One finding: Stick-to-itiveness is a key to success.  Continue Reading

• Data ingestion capabilities augur greater role for NoSQL in IoT

  Verizon's ThingSpace IoT platform uses a Couchbase NoSQL system to help provide reliable data ingestion and flexible development. That is key as IoT devices proliferate.  Continue Reading

• McKesson looks to simplify big data ecosystem for healthcare analytics

  The big data ecosystem has many twists and turns. A McKesson data manager saw Splice Machine's database as a means to straighten the path by putting analytics and operations data in one place.  Continue Reading

• A look at the leading operational database management systems

  The market for operational DBMS products can be confusing, especially with so many choices. But knowing your application requirements can help point you in the right direction.  Continue Reading

• Preparing data for analysis helps JTV find predictive gold

  Predictive models help Jewelry Television's on-air hosts sell its wares, thanks to data integration and preparation processes that funnel a mix of data into the analytics applications.  Continue Reading

• Data preparation steps increase to meet predictive analytics needs

  Data scientists building predictive models and machine learning algorithms often have to do more data preparation work upfront than is necessary in conventional analytics applications.  Continue Reading

• Fast-moving big data changes data preparation process for analytics

  Increased automation of data pipelines and more flexibility for data scientists through self-service software are taking hold as big data deployments change data preparation practices.  Continue Reading

• With better scaling, semantic technology knocks on enterprise's door

  Cambridge Semantics CTO Sean Martin says better scalability can lead to richer representations of data. Such advances are behind the renewed interest in semantic technology.  Continue Reading

• Embedded analytics to feel widest impact of machine learning projects

  Ovum analyst Tony Baer discusses machine learning tools, IoT-driven streaming analytics and Hadoop in the cloud, all of which gained attention in 2016, with more likely in store for 2017.  Continue Reading

• Microsoft SQL Server 2016 relational DBMS overview

  Microsoft SQL Server 2016 for Windows comes in four editions, with updates that include a new stretch database feature, Polybase, dynamic data masking and more.  Continue Reading

• A look at the EnterpriseDB Postgres data management platform

  The EDB Postgres platform, which is based on the PostgreSQL open source relational database, is offered as a subscription service for production and nonproduction systems.  Continue Reading

• Inside the Amazon DynamoDB NoSQL cloud database as a service

  The DynamoDB NoSQL cloud database supports both document and key-value store models, providing flexibility for development of web, gaming, IoT and many other applications.  Continue Reading

• Data trust gap confronts analytics -- time to open the 'black box'

  C-suite honchos sign off on analytics tool purchases and then wonder what they've wrought. But data trust can build if practitioners make the analytics process more transparent, consultant Bill Nowacki says.  Continue Reading

• Following a notion for SQL, architect creates NoSQL data modeling notation

  Ted Hills, an enterprise architect at LexisNexis and the author of a recent book on NoSQL data modeling, discusses the ins and outs of database schema design in an era of big data disruption.  Continue Reading

• Functionality gaps not stopping Spark usage from growing fast

  Organizations aren't letting ongoing Apache Spark development, functionality holes or issues deter them from ramping up usage of the technology. Find out why.  Continue Reading

• Spark architecture finds place at center of big data environments

  Spark's draw has gone beyond its batch processing speed. Find out why more than 500 organizations, including Webtrends and Synchronoss Technologies, have turned to the technology.  Continue Reading

• Reltio master data management architecture rides graph analytics wave

  An onslaught of unstructured data, social and otherwise may change the nature of master data management platforms. Reltio Cloud may stand as an indicator.  Continue Reading

• Inside the Informatica Master Data Management portfolio

  Informatica Master Data Management is aimed at helping sales, marketing and customer service teams ensure they're working from the most relevant and accurate data available.  Continue Reading

• Hadoop tool finds low-hanging fruit for migrating data warehouse jobs

  It's still hard to move existing data warehouse jobs to Hadoop, but emerging tools can help. Cloudera Navigator Optimizer is one such Hadoop tool tapped by digital marketing company Conversant.  Continue Reading

• Big data governance steps into IT spotlight as architectures expand

  Effectively governing the data stored in different systems across big data architectures is emerging as one of the keys to a successful deployment of Hadoop and related technologies.  Continue Reading

• Big data architectures face big hurdles with technology integration

  Hadoop and all the related technologies surrounding it enable organizations to design big data environments that meet their specific needs. But putting everything together isn't easy.  Continue Reading

• Users balance Spark support from vendors, access to new features

  Apache Spark users are often faced with a quandary: continue with vendor support or break out on their own to a newer version of the fast-moving open source software with updated features?  Continue Reading

• Some early adopters take it easy on Spark cluster rollouts

  Software companies Intuit and Novantas took deliberate approaches to deploying their first Spark clusters, limiting initial user access and looking for solid business uses in a 'surgical' way.  Continue Reading

• The Diaku Axon data governance platform addresses regulated industries

  The Diaku Axon data governance platform is designed to assist financial institutions as well as other industries with complex regulatory compliance environments.  Continue Reading

• Examining the top data governance tools on the market

  Expert John Ladley examines the leading data governance software products, comparing and contrasting their features to help you determine which tool will best meet your needs.  Continue Reading

• What to know about the Data3Sixty cloud-based data governance platform

  With Data3Sixty's cloud-based grow-as-you-go subscription model, organizations don't have to invest in a major data governance implementation or worry about complex upgrades.  Continue Reading

• Alation Data Catalog helps provide collaborative data governance

  Alation Data Catalog provides business analysts and data stewards with search and discovery, governance and collaboration functionality, and automates many data governance tasks.  Continue Reading

• Finding the way to different types of databases, big data tools

  In a Q&A, EMA analyst John Myers advises IT teams to look at big data workloads when sorting through new and different types of databases and open source tools. His word on Spark? It's still young.  Continue Reading

• What you should know about Collibra Data Governance Center

  Collibra Data Governance Center is a repository- and workflow-oriented data governance platform that also offers features for data management and data stewardship.  Continue Reading

• How to narrow down your choices for buying a data governance tool

  Evaluating and selecting a data governance tool depends on not only features and functionality, but also how you will use the tool to add value to your organization.  Continue Reading

• Up-and-coming data engineers complement entrenched data scientists

  Even before the hot title of data scientist was fully defined, a complementary role began to bubble up: data engineer. Here's how they differ and why companies may need one, the other or both.  Continue Reading

• Business intelligence app integration, self-service deemed must-haves

  Businesses must either disrupt or be disrupted. One way to do the former is to integrate sales intelligence apps and make them self-service. Sound difficult? It doesn't have to be.  Continue Reading

• What to know about Information Builders' Omni-Gen data governance tool

  Omni-Gen from Information Builders features a variety of tools for enterprise data management, data governance and data best practices, all in one centralized package.  Continue Reading

• An overview of Quest's database performance management tools

  DBAs can use the Quest Toad product suite for managing database structural performance, and Quest Foglight to proactively monitor SQL, storage and virtualization performance.  Continue Reading

• A look inside the SolarWinds Database Performance Analyzer

  SolarWinds provides DBAs and application teams with a database performance monitoring and analysis tool via a Java application that runs on a dedicated Windows, Unix or Linux server.  Continue Reading

• Inside IBM's Data Server Manager and other database performance tools

  IBM offers several products and platforms to help DBAs proactively monitor, manage and optimize the performance of DB2 for z/OS and DB2 for Linux, UNIX and Windows databases.  Continue Reading

• Online music startup picks a recommendation engine

  Amazon and others wrote the book on the recommendation engine. Rather than build its own, music startup PonoMusic turned to data prep and BI software maker Datameer to ramp up fast.  Continue Reading

• A look at the features of the SAS Data Management unified platform

  SAS Data Management offers a suite of tools for handling access to data on legacy systems and Hadoop, as well as for integrating and cleansing data on-premises and in the cloud.  Continue Reading

• Adaptive Metadata Manager helps manage enterprise data governance

  The Adaptive Metadata Manager data governance tool helps organizations institute enterprise-wide data policies and lets users access, manage and analyze important data assets.  Continue Reading

• Improve data management and quality with SAP Master Data Governance

  SAP Master Data Governance offers a variety of features for managing master data assets and associated data terms and policies from a single, central location.  Continue Reading

• Exploring Bradmark Technologies' database performance monitoring tools

  Bradmark Technologies provides a database performance monitor, an operating system monitor, and tools for implementing structural changes and performing database reorganizations.  Continue Reading

• Exploring the features of Oracle Enterprise Manager 13c

  Cloud Control, a feature of Oracle Enterprise Manager 13c, can be used to monitor and manage databases, middleware, infrastructure and hardware running on-premises or in the cloud.  Continue Reading

• Inside IDERA's database performance management and optimization tools

  IDERA offers tools for analyzing, monitoring and diagnosing database performance issues and increasing the performance of SQL code across the major relational databases.  Continue Reading

• Inside BMC's database performance tools for DB2 for z/OS

  BMC offers several tools to help DBAs manage and prevent critical performance issues in DB2 for z/OS, as well as monitoring options for other vital mainframe subsystems.  Continue Reading

• Metadata injection marks Pentaho big data pipeline

  The crush of big data leads some data pros to seek more automation of data integration processes. The Pentaho software platform now offers metadata injection capabilities to help meet such needs.  Continue Reading

• A look at IBM InfoSphere Information Server for Data Integration

  IBM InfoSphere Information Server for Data Integration provides a single, unified platform for application integration, cloud integration, data quality and master data management.  Continue Reading

• Inside the SAP Data Services data integration tool

  SAP Data Services can be used alone or with other SAP products to provide data integration, transformation, data quality, data profiling and text data processing.  Continue Reading

• An overview of the Pentaho Data Integration platform

  The Pentaho Data Integration platform enables organizations to integrate, blend, convert and transform data from any data source across their entire enterprise.  Continue Reading

• Tips on selecting the right database performance management tools

  Not every tool can resolve every problem, so understanding the cause of the bottleneck can help you determine which of these database performance management tools to consider.  Continue Reading

• How to know if your company is ready for data governance tools

  Even if you can identify with the use cases presented here, it's important your organization is well-prepared to deploy the software it buys.  Continue Reading

• Examining the functions and features of database performance tools

  To help you determine which tools your organization needs, it's important to review the primary features and functionality of the three database performance tools categories.  Continue Reading

• Examining the iWay Integration Suite for real-time data integration

  The iWay Integration Suite from Information Builders enables organizations to integrate diverse data sources, including legacy hardware or software platforms.  Continue Reading

• Microsoft SSIS addresses data integration and data migration functions

  Microsoft SQL Server Integration Services, which is built into SQL Server database, is an enterprise data integration, data transformation and data migration tool.  Continue Reading

• A look inside the Talend Enterprise Data Integration tool

  Talend Enterprise Data Integration is available as open source for the budget conscious or as an enterprise version, which provides more extensive integration capabilities.  Continue Reading

• NoSQL performance management still an incomplete picture

  The ability to monitor and manage the performance of NoSQL databases is all over the map, making it crucial for users to find the right technology for the applications they're looking to run.  Continue Reading

• Three indicators that could signal database performance issues

  Database performance monitoring and management tools can be used to mitigate issues and help organizations be more proactive, so they can avoid performance problems and outages.  Continue Reading

• How data governance software helps ensure the integrity of your data

  While a data governance initiative comprises people, processes and technology, data governance software supplements and automates the processes the organization implements.  Continue Reading

• Inside the Informatica PowerCenter data integration platform

  The Informatica PowerCenter data integration platform helps organizations access, discover, cleanse and integrate data from disparate data sources.  Continue Reading

• What you need to know about Oracle Data Integrator 12c

  Oracle Data Integrator 12c works with several other Oracle products to leverage the capabilities of RDBMSs for processing and transforming data.  Continue Reading

• Inside CA Technologies' database performance management products

  CA Technologies offers an array of database performance management products for DB2 for z/OS and a scalable system and network monitoring product for distributed databases.  Continue Reading

• SAS Data Governance helps support enterprise data tasks

  SAS Data Governance provides organizations with data governance tools for organizing, managing and accessing their data assets, and establishing enterprise-wide data policies.  Continue Reading

• New data landscape augurs discovery-based architectures

  In an interview, consultant Lakshmi Randall foresees changes in how data management is organized and executed as the overall data landscape shifts due to the adoption of big data systems.  Continue Reading

• What you need to know about database performance software

  Database performance software identifies bottlenecks and points of contention, monitors workload and throughput, and manages system and DBMS resource usage.  Continue Reading

• GPU database serves up analysis of tweets, other data feeds

  As a student, Todd Mostak took on large-scale tweet analysis of historic events in the Middle East. Today, he leads startup MapD, which offers a database built on graphics processing units.  Continue Reading

• EBay helps drive new style of data engineering

  Open source data engineering has become a way of life at e-commerce leader eBay, says the company's Debashis Saha. Kylin is one of the tools that has resulted.  Continue Reading

• Learn more about the Cloudera Hadoop distribution

  Cloudera distribution including Apache Hadoop provides an analytics platform and the latest open source technologies to store, process, discover, model and serve large amounts of data.  Continue Reading

• Inside the IBM BigInsights platform for big data management

  The latest version of IBM BigInsights offers several value-add services that can be used with its core distribution of open source Hadoop for managing big data.  Continue Reading

• Inside the MapR Hadoop distribution for managing big data

  The MapR Hadoop distribution replaces HDFS with its proprietary file system, MapR-FS, which is designed to provide more efficient management of data, reliability and ease of use.  Continue Reading

• What to know about the IBM Information Governance Catalog

  IBM's Information Governance Catalog provides organizations with a workflow-oriented data governance tool for organizing, managing and accessing their data assets.  Continue Reading

• Inside the Hortonworks open enterprise Hadoop distribution

  The Hortonworks Data Platform consists entirely of projects built through the Apache Software Foundation and provides an open source environment for data collection, processing and analysis.  Continue Reading

• Analytics and BI in the cloud get mixed reaction

  Managing and analyzing data in the cloud can reduce IT costs and simplify technology deployments and upgrades. But adoption levels remain relatively low, despite the potential benefits.  Continue Reading

• A look at Amazon Elastic MapReduce cloud-based Hadoop

  The Amazon Elastic MapReduce Web service offers a managed Hadoop framework that enables users to distribute and process big data across dynamically scalable Amazon EC2 instances.  Continue Reading

• Inside the Microsoft Azure HDInsight cloud infrastructure

  Azure HDInsight is a cloud implementation of Apache Hadoop that provides a software framework designed for processing, analyzing and reporting on big data.  Continue Reading

• Data virtualization ushers in unified view of data

  A member-owned supply chain management company melded siloed data sets to gain a unified view of diverse data feeds.  Continue Reading

• IBM's dashDB forges data warehouse in the cloud

  Amazon's Redshift led the way in cloud data warehouses. Now IBM hopes to catch up on the wings of dashDB.  Continue Reading

• Big data platforms pose structural issues for new users

  Big data systems require the same kind of data partitioning and setup steps as conventional ones do. But first, users have to learn how to make that process work in Hadoop and Spark.  Continue Reading

• Five factors to help select the right data warehouse product

  How big is your company, and what resources does it have? What are your performance needs? Answering these questions and others can help you select the right data warehouse platform.  Continue Reading

• Q&A: Dinsmore sees open source Apache Spark moving to new stage

  Analytics vet Thomas Dinsmore says Apache Spark is entering a new phase of adoption, one in which hype gives way to clearer assessment. He also discusses the ascent of the R programming language for analytics.  Continue Reading

• Pivotal Greenplum streamlines big data query optimization

  The Pivotal Greenplum open source shared-nothing data warehouse delivers high query performance and throughput, and provides rapid analytics on big data.  Continue Reading

• A look at the upcoming Microsoft Azure SQL Data Warehouse

  The Microsoft Azure SQL Data Warehouse lets you scale compute and storage independently based on your performance needs, so you pay for query performance only when you need it.  Continue Reading

• A look inside the SAP IQ column-oriented database

  The SAP IQ column-oriented database is designed for large data warehouses that require high scalability, rapid data loading and optimal query performance.  Continue Reading

• Examining the Teradata Data Warehouse

  With both relational and columnar options, the Teradata Active Enterprise Data Warehouse gives companies an efficient, scalable appliance they can deploy in-house or in the cloud.  Continue Reading

• What to consider when evaluating Hadoop vendors

  Before you evaluate specific Hadoop software or subscriptions, examine what features the vendor distributions provide and how they match your big data management needs.  Continue Reading

• Evaluating the key features of data warehouse platforms

  Choosing between the different types of data warehouse platforms can be simplified once you know which deployment option best meets your project requirements.  Continue Reading