News

News

• August 30, 2017 30 Aug'17

  Big data vendors, users see Hadoop stack from different sides

  In this Talking Data podcast, TechTarget editors discuss Hadoop's future, IBM's decision to resell the Hortonworks distribution of the open source technology and other big data issues.

• July 31, 2017 31 Jul'17

  Apache Arrow to power startup Dremio's self-service data platform

  Data management startup Dremio has aimed its Apache Arrow expertise at the problem of self-service data delivery. In-column caches and optimization speed queries across varied data stores.

• July 24, 2017 24 Jul'17

  Chief data officer jobs call for nurturing data ethos in companies

  In many organizations, chief data officer jobs centered on defense against risk are giving way to ones emphasizing innovation. To do so, CDOs must nurture a data culture, MIT panelists said.

• July 10, 2017 10 Jul'17

  MongoDB 'Charts' a way to dashboard visualization from its database

  MongoDB targets better dashboard visualization with MongoDB Charts, which adds another means for business users trying to look into their NoSQL data pools.

• June 30, 2017 30 Jun'17

  Agile database development spurs changes in data tech, DBA roles

  The quest for the agile database is putting developers in the forefront and has some DBA tasks moving to the development groups, according to panelists at a conference in Boston.

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• June 29, 2017 29 Jun'17

  Data governance crucial to comply with EU's GDPR legislation

  With the EU's new General Data Protection Regulation looming on the horizon, companies -- including many in the U.S. -- need to get going on required data governance upgrades.

• June 23, 2017 23 Jun'17

  MongoDB Atlas footprint grows bigger with Azure, Google cloud support

  MongoDB has expanded cloud coverage for its Atlas hosted database service, with Azure and Google versions joining an initial AWS-based offering to give users a choice on cloud platforms.

• June 20, 2017 20 Jun'17

  IBM bets on Hortonworks Hadoop platform as its big data engine

  IBM pulled the plug on its distribution of Hadoop in favor of reselling Hortonworks' bundle of big data technologies, a decision that reduces the number of Hadoop vendors to four.

• May 31, 2017 31 May'17

  Data prep for deep learning applications means careful planning

  Deep learning applications often require a mix of data, and assorted preprocessing techniques. That makes data preparation a priority, and conventional machine learning may have a role to play.

• May 12, 2017 12 May'17

  Startup Confluent makes Kafka cloud play to ease streaming deployment

  Kafka is a linchpin in many on-premises big data pipelines. Now, software vendor Confluent is offering a Kafka cloud service to ease use of the messaging and data streaming system in the cloud.

• April 28, 2017 28 Apr'17

  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.

• April 28, 2017 28 Apr'17

  Systems of record take back seat to systems of engagement, innovation

  Systems of engagement represent a hotbed of activity in data management these days. Flexibility and scalability are watchwords.

• April 20, 2017 20 Apr'17

  Spark processing engine more at home in cloud, Databricks CEO says

  Corporate users are becoming more open to deploying big data systems with Apache Spark in the cloud, Databricks CEO Ali Ghodsi says in a Q&A on the open source processing platform.

• April 14, 2017 14 Apr'17

  Persistence pays off for software containers in big data

  Software containers encapsulate complexity and ease deployment, two traits that are helping to elicit growing interest in using them as part of big data systems.

• March 31, 2017 31 Mar'17

  AWS data lake pumps up Beachbody's analytics architecture

  Fitness company Beachbody set up a data lake system in the AWS cloud to support big data analytics applications after deciding that an on-premises deployment would be too complicated.

• March 24, 2017 24 Mar'17

  Blockchain data disruption aborning, IDC analyst says

  Blockchain data technology disruption may be in the offing. IDC's Stewart Bond says architecture at the core of controversial bitcoin may show a new path to data integrity.

• March 10, 2017 10 Mar'17

  Finance data governance program gets new start, broader focus

  Businesses constantly need to evolve their programs for governing data. Nationwide's finance data governance team shares how it stepped up data governance strategy and processes.

• March 08, 2017 08 Mar'17

  Pepperdata calls on Dr. Elephant for big data application profiling

  Application profiling software from Pepperdata is built on LinkedIn's Dr. Elephant open source entry. A primary goal is to get more Hadoop and Spark applications into production.

• February 21, 2017 21 Feb'17

  Containers help move Spark and Hadoop into analytics operations

  Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service.

• February 16, 2017 16 Feb'17

  Drizzle on tap to spur Spark Streaming architecture

  Spark Streaming architecture to date has focused much on programming perks. Now, as a bit of a hedge against other streaming choices, Drizzle comes to bat to cut streaming latency.

• February 06, 2017 06 Feb'17

  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.

• February 06, 2017 06 Feb'17

  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.

• February 06, 2017 06 Feb'17

  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.

• February 03, 2017 03 Feb'17

  Kaiser's data governance model leans heavily on data stewards

  The head of Kaiser Permanente's data governance program says data stewards hold the key to the initiative's success, and he offers advice on managing data stewardship processes.

• January 31, 2017 31 Jan'17

  Data governance process gets fine-tuned, as big data makes its mark

  Big data analytics and digital transformation challenge the conventional data governance process, with many questions to answer in organizations. But a governed data lake shows how it can be done.

• December 02, 2016 02 Dec'16

  Amazon ushers in pay-by-query pricing with Athena data engine

  Amazon's Athena data engine brings interactive SQL queries to S3 data sets and lets users pay as they go. It's based on an open source framework called Presto that Teradata and others also employ.

• November 30, 2016 30 Nov'16

  Louisiana uses GIS software to create map to flood preparedness

  The Louisiana Department of Health responded to flooding with the help of GIS software that located trouble spots with at-risk hospitals. Ease of use was welcome, according to a preparedness manager.

• October 28, 2016 28 Oct'16

  Containers and microservices find home in Hadoop ecosystem

  Big data is moving from its bare-metal roots, and data streaming is a driver. Containers and microservices may have a role to play in what's next. An e-commerce application shows the way.

• October 06, 2016 06 Oct'16

  Effective data visualization crystallizes a company's crystal ball

  What's in your toolbox? October's issue of Business Information turns the tables and puts that burning question to Capital One and several other business intelligence and data analytics software users. As the burgeoning worlds of ...

• September 30, 2016 30 Sep'16

  Vendors move to make Hadoop cloud deployments simpler, less costly

  Users increasingly are eyeing the cloud for big data management and analytics applications, and IT vendors are moving to ease the process -- and the price -- of running Hadoop in the cloud.

• September 29, 2016 29 Sep'16

  MemSQL 5.5 adds native data ingestion for Kafka, eases pipelining

  Among a handful of new SQL-oriented, in-memory databases is MemSQL. Recent product updates are meant to improve data pipeline creation and performance in high-speed ingestion applications.

• September 15, 2016 15 Sep'16

  HPE sells Vertica analytics, thanks to the growth of open source software

  HPE is paring down its software holdings, including analytical database software in the Vertica line and other big data tools. A sale to Micro Focus is due to close next year, leaving users in some limbo for now.

• August 31, 2016 31 Aug'16

  HPE adapts Vertica analytical database to world with Hadoop, Spark

  Vertica 8.0 expands the analytical database's support for Kafka, Spark and Hadoop. That's an important step, as the Hewlett Packard Enterprise technology tries to compete in a field of diverse data tools.

• August 30, 2016 30 Aug'16

  Snowflake cloud data warehouse targets gaps big clouds overlook

  Cloud data warehouse offerings from smaller vendors seek to address functionality gaps that bigger players may miss. Newcomer Snowflake Computing targets concurrent queries, for example.

• August 23, 2016 23 Aug'16

  Cloud-managed database services change data administration

  Managed data services are growing in use, as types of data stores proliferate and the cloud becomes the home for more data. DevOps is a driver behind the changes, which bring new duties and needed skills for DBAs.

• July 22, 2016 22 Jul'16

  The chief data officer's dilemma: CDO role in flux

  How to balance data safety with innovative big data expansion was at issue at an MIT symposium where the chief data officer role was considered.

• July 15, 2016 15 Jul'16

  Chief data officer job stakes claim in data innovation

  Forces at work in data management have led to the advent of the chief data officer. The role of the CDO and more is discussed in a Q&A with consultant Joe Caserta.

• July 08, 2016 08 Jul'16

  Flexible MongoDB connects to Spark analytics, adds DBaaS

  Speed to production underlies interest in MongoDB. At its annual confab, the company behind the NoSQL database rolled out improvements, including a Spark analytics link.

• July 06, 2016 06 Jul'16

  IT teams hone Hadoop monitoring, governance to boost big data value

  Hadoop management is becoming a bigger priority for big data users and vendors alike as the distributed processing framework plays a more central role in the business operations of organizations.

• June 29, 2016 29 Jun'16

  As field data gets fresher, it drives real-time decision making

  Thanks to ubiquitous mobile technology, field data is more readily accessible to ESRI's Survey123 for ArcGIS. A relief organization used the software to aid Syrian war refugees.

• June 24, 2016 24 Jun'16

  DataStax gets graph DB and Titan gets rewrite

  DataStax Enterprise 5.0 couples a Cassandra column-family data store with a rewritten version of the open source Titan graph database. The goal is fast analytics closely tied to fast transactions.

• June 24, 2016 24 Jun'16

  Fifty years forward: A look at the ComputerWeekly back pages

  On the occasion of ComputerWeekly's 50th anniversary, Brian McKenna joins the Talking Data podcast crew to look back at Bletchley Park, and forward to Hadoop and AI.

• June 17, 2016 17 Jun'16

  Graph technology the beating heart of new data management tools

  Graph technology is popping up in many places, including master data management. A major data integration player has joined the quest, as seen recently at Informatica World.

• June 09, 2016 09 Jun'16

  Databricks reveals more on Spark 2.0; IBM, Microsoft renew Spark push

  Spark 2.0, with structured streaming and SQL 2003 support, is aborning as indicated at Databricks' Spark Summit, where R-to-Spark interfaces also popped up.

• June 03, 2016 03 Jun'16

  Kafka streaming gets a new twist

  Startup vendor Confluent is looking to place a stake in the big data ecosystem with Kafka streaming and management tools meant to reduce complexity in applications that place data in motion.

• June 01, 2016 01 Jun'16

  MIT panel shares tips on how to get into the data business

  Data wrapping -- in this case, bundling data and analytics services with products -- may entice more companies to become data businesses. A panel at an MIT symposium considered some best practices for doing so.

• May 19, 2016 19 May'16

  Oracle NoSQL: An oxymoron waiting to happen?

  New cloud apps seem ready-made for NoSQL. This may cause Oracle to put more focus on its Oracle NoSQL database, which is often overlooked amid a crush of NoSQL contenders.

• May 16, 2016 16 May'16

  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.

• April 29, 2016 29 Apr'16

  Big data challenges traditional data modeling techniques

  Surging big data is changing data modeling techniques, including schema creation. The word from Enterprise Data World 2016: Data pros must adjust.

• April 29, 2016 29 Apr'16

  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.

• April 22, 2016 22 Apr'16

  Data lake meets warehouse in hybrid data architectures

  A new view on hybrid data architectures, in which data lakes and warehouses coexist, emerged at EDW 2016. The hybrid approach has implications for data design, skills and planning.

• April 19, 2016 19 Apr'16

  New tools offer a better view into managing Hadoop clusters

  Running a Hadoop cluster in the data center isn't for the weak. But several new tools aim to give IT operations teams a closer look into what's going on inside Hadoop-based big data systems.

• April 13, 2016 13 Apr'16

  Hadoop market consolidation continues with Pivotal's exit

  Pivotal Software dropped out of the Hadoop distribution business in favor of reselling the Hortonworks version of the big data framework -- and the market consolidation moves may not be over.

• April 01, 2016 01 Apr'16

  Streaming analytics puts data in motion at Strata + Hadoop 2016

  Moving streams of data is a must in many modern applications. As a result, streaming analytics systems with Spark Streaming, Kafka and other components are coming to the big data forefront.

• March 31, 2016 31 Mar'16

  Hadoop core components may not be central to big data future

  At Strata + Hadoop World 2016, Hadoop co-creator Doug Cutting said the core of the distributed processing framework is likely to see its position at the center of big data systems diminish.

• March 25, 2016 25 Mar'16

  Unstructured data is a misnomer

  Nowadays, the term unstructured data pops up everywhere. It owes its popularity for a large part to the success of big data, to successful technologies such as NoSQL and Hadoop, and to formats such ...

• March 24, 2016 24 Mar'16

  Strata + Hadoop World 2016: Hadoop and Spark in spotlight

  The Strata + Hadoop World conference focuses on big data management and analytics technologies, in particular the Hadoop distributed processing framework and Spark processing engine.

• March 16, 2016 16 Mar'16

  Social media startup uses NoSQL Redis Cloud to 'scale to infinity'

  Because of growing data demands, and the need to nimbly scale up and down, a startup social networking platform chose a Redis Labs NoSQL database management system running on AWS.

• March 02, 2016 02 Mar'16

  Hortonworks Hadoop distribution goes to two release tracks

  Looking to better balance system stability and innovation, Hadoop distribution provider Hortonworks will follow two release 'cadences' for different component sets in its HDP package.

• February 29, 2016 29 Feb'16

  Apache Spark architecture speeds data jobs, ousts MapReduce

  Its collection of big-data processing features is priming the Apache Spark architecture for wider deployment. One key trait: Spark performance outpaces MapReduce in many Hadoop use cases.

• February 24, 2016 24 Feb'16

  AtScale Benchmarks Three SQL-on-Hadoop Engines

  Numerous SQL-on-Hadoop engines are available for accessing data stored in HDFS using the familiar SQL language. They all look promising, they all support a rich SQL dialect, but which ones is the ...

• February 24, 2016 24 Feb'16

  Spark Streaming update to address growing torrent of big data

  Amid the buzz at Spark Summit East 2016 in New York was word that the Spark data processing engine's stream processing architecture will be overhauled in the upcoming version 2.0 of the open source software.

• February 04, 2016 04 Feb'16

  HR metrics and analytics bring opportunity, concerns

  HR personnel oversee many of the perks that come with a job, such as paychecks and benefits; the elements that most people would rather avoid, such as firings and employee conflicts; and all things in between, such as education and training. Now, ...

• February 04, 2016 04 Feb'16

  SQL-on-Hadoop platforms open brave new analytics world

  Hadoop has been slowly plodding through the big data jungle, but SQL's integration may put a spring in the elephant's step.

• February 03, 2016 03 Feb'16

  NoSQL revs up to the tune of the Spark connector

  Attention's been placed on Spark running on Hadoop, but there are Spark connectors for NoSQL that usher in a new class of operational analytics.

• January 29, 2016 29 Jan'16

  Data quality metrics a governance must, managers say

  Data governance managers who spoke during an online conference said that tracking business-oriented metrics on data quality improvement is a key to success in governance efforts.

• January 28, 2016 28 Jan'16

  Co-creator Cutting assesses Hadoop future, present and past

  In a Q&A as Hadoop reaches one 10-year milestone in its development, co-creator Doug Cutting talks about the adoption of the big data framework, and the history and future of Hadoop.

• January 27, 2016 27 Jan'16

  Geospatial data is on the map for Hadoop, Spark

  Software architect Mansour Raad is at the center of activity as geospatial data melds with Hadoop -- and soon, Spark.

• January 14, 2016 14 Jan'16

  MapR adds 'Streams' messaging to its Hadoop data pipeline

  MapR's Hadoop distribution will add a message system to feed a streaming data pipeline. It takes a cue from open-source Kafka technology.

• December 29, 2015 29 Dec'15

  Data governance process taxed by self-service BI, big data

  The increasing adoption of self-service business intelligence tools and big data analytics applications is complicating data governance programs, BI Leadership Summit speakers and attendees said.

• December 28, 2015 28 Dec'15

  IBM Watson APIs hold key to broader cognitive computing use

  In 2015, APIs for IBM's Watson system were front and center as a means to bring cognitive computing applications to a broader corporate audience.

• December 21, 2015 21 Dec'15

  Spark: It's the word of the year in 2015 for data analytics

  This episode of the 'Talking Data' podcast looks at the word of the year in data analytics and management. In 2015, Spark joined Hadoop and MapReduce at the top of the list of trending big data technologies.

• December 21, 2015 21 Dec'15

  Kirk Borne on data science and big data analytics, data literacy

  In a Q&A, big data and data science expert Kirk Borne discusses new data processing and analytics technologies and the growing importance of data literacy in organizations.

• December 09, 2015 09 Dec'15

  Concurrent app management tools work on Hadoop and Spark

  If Hadoop and Spark are to sneak into the enterprise, they will need to be manageable. With Driven, Concurrent Inc. takes a stab at the problem.

• December 02, 2015 02 Dec'15

  Analysts and Data Scientists Need SQL-on-Everything

  Business analysts and data scientists no longer restrict themselves to internally produced data that comes from IT-managed production systems. For their analysis they use all the data they can lay ...

• November 16, 2015 16 Nov'15

  The Weather Co. buy boosts IBM big data analytics push

  IBM's planned purchase of The Weather Co.'s data operations may be a bellwether event from which data professionals can learn.

• October 30, 2015 30 Oct'15

  IBM goes all-in on Spark analytics with new service, apps

  At its Insight 2015 conference, IBM featured Apache Spark, releasing a cloud-based Spark service to support analytics applications and detailing Spark use in some of its own tools.

• October 27, 2015 27 Oct'15

  Dell links with Syncsort to tune Cloudera Hadoop for offloaded ETL

  Dell and others have a new ETL reference architecture. Its purpose is to ease migrations to Cloudera Hadoop. Also: Dell buys EMC; Syncsort is acquired.

• October 19, 2015 19 Oct'15

  Big data applications to drive Walmart reboot

  We may have outlived the era of killer apps in some part defined by Walmart, but Hadoop big data applications may help the giant's quest for more growth.

• October 13, 2015 13 Oct'15

  MapR does JSON format; Teradata goes on AWS

  MapR takes JSON format data into Hadoop, while Teradata places its flagship database on AWS.

• October 12, 2015 12 Oct'15

  Big Data Myth 4: Big Data is Unstructured Data

  Not so long ago I attended a session in which the speaker was very clear on what big data is and what it is not. In his opinion, big data is unstructured data and unstructured data is big data. ...

• October 07, 2015 07 Oct'15

  Core Hadoop components get more company as vendors diversify

  Tracking 'What is Hadoop?' is getting more complex as the potential components of Hadoop systems increase -- and core elements such as HDFS are augmented by possible alternatives.

• October 05, 2015 05 Oct'15

  Big Data Myth 3: Big Data is Too Big for SQL

  The third big data myth in this series deals with how big data is defined by some. Some state that big data is data that is too big for a relational database, and with that, they undoubtedly mean a ...

• September 30, 2015 30 Sep'15

  MongoDB 3.0 rides WiredTiger engine to boost database speeds

  The latest version of MongoDB finds the NoSQL database running on a new WiredTiger storage engine. Better performance and data compression are among MongoDB 3.0's touted benefits.

• September 30, 2015 30 Sep'15

  DataStax Cassandra moves ahead with Azure deal and graph store

  The DataStax Cassandra engine, officially called DataStax Enterprise, is now Spark-certified. The move is one of several for the NoSQL database on a possible upswing, further evidenced by a new deal with Microsoft.

• September 28, 2015 28 Sep'15

  Strengthening Data Preparation with Data Virtualization

  Self-service analytics allows users to design and develop their own reports and do their own data analysis with minimal support by IT. Most recently, due to the availability of tools, such as those ...

• September 22, 2015 22 Sep'15

  Madsen looks at shift in big data analytics applications

  At a TDWI Boston Chapter meeting, Mark Madsen says some notions of information become outdated in the face of big data analytics. This is part one of two.

• September 22, 2015 22 Sep'15

  New models of processing stalk big data analytics applications

  Operations and big data analytics applications are beginning to blend, causing changes in data strategies, Mark Madsen tells a TDWI Boston Chapter meeting. This is part two of two.

• September 22, 2015 22 Sep'15

  Big Data Myth 2: Analytics Requires Big data

  In Part 1 of this series on big data myths I indicated that the goal of most big data projects is analytics. In other words, big data systems are almost always developed to improve the analytical ...

• September 18, 2015 18 Sep'15

  Big Data Myth 1: Big Data is the Goal

  Big data is an incredibly popular topic. Plentiful articles, books, and blogs have been written on this topic and countless sessions have been presented that discuss some aspect of big data. I am a ...

• September 10, 2015 10 Sep'15

  Alteryx software targets Amazon big data

  The latest Alteryx analytics engine gets enterprises close to Amazon big data, with nods to spreadsheet aficionados and R language.

• September 09, 2015 09 Sep'15

  Evaluating SQL-on-Hadoop tools? Start with the use case

  In a Q&A, Clarity Solution Group CTO Tripp Smith says to base SQL-on-Hadoop software decisions on actual workloads. Some Hadoop tools target batch jobs, while others are intended for interactive ones.

• August 31, 2015 31 Aug'15

  IBM pushes MPP engine to boost cloud database services line

  IBM has added massively parallel processing and R language support to its dashDB software -- important steps for a data warehouse database tailored for distributed cloud computing.

• August 18, 2015 18 Aug'15

  Finding a way off data isolation island

  New technology is supposed to eliminate problems. With data isolation, new business tools are only making the longstanding issue worse. Companies are amassing on-premises tools and cloud applications. And those cloud apps come in many varieties: ...

• August 18, 2015 18 Aug'15

  Vertica 'Excavator' release adds Kafka messaging and more

  HP's Vertica analytics platform update will include better streaming data support via Kafka, and SQL-on-Hadoop improvements.

• August 14, 2015 14 Aug'15

  DataTorrent data ingestion tool aims to speed Hadoop feeds

  A new data ingestion and extraction tool supporting the Hadoop Distributed File System is at the heart of startup vendor DataTorrent's efforts to broaden its big data analytics engine's appeal.

• August 13, 2015 13 Aug'15

  Don't throw out design principles when jumping in Hadoop data lake

  In a Q&A, data warehousing expert Joe Caserta explains why a new generation of developers building Hadoop clusters and other big data systems may need an introduction to some fundamental rules of ETL.

• August 07, 2015 07 Aug'15

  Take measured steps to build a Hadoop cluster architecture

  RelayHealth's Raheem Daya described the path he took to deploy and expand a Hadoop cluster for distributed data processing during a presentation at the 2015 TDWI conference in Boston.

• July 31, 2015 31 Jul'15

  Stonebraker points to data curation as next integration step

  Database pioneer Michael Stonebraker told an MIT conference that data curation tools offer a step forward on data integration. Others said things are already progressing through other means.

• July 31, 2015 31 Jul'15

  Couchbase NoSQL database addresses mobility, synching issues

  Couchbase offers an embedded version of its NoSQL database, which can fit on a smartphone. That feature turned out to be a plus for air carrier Ryanair.