Features

Features

• 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