In the news
There are numerous daily developments in the data landscape involving new technologies and applications impacting the Internet of Things, Big Data, the consumerization of IT, and the burgeoning empowerment of the business. Despite so much going on, the vast majority of interest regarding data and its influence throughout contemporary society is easily stratified into two categories that are far from mutually exclusive. According to Continuent CEO Robert Hodges: "If you look at where's the investment going on in databases right now, there's really two big places: analyzing data, which is one of the main reasons why people are moving data, and the other thing of course is moving data into the cloud."
Learn the advantages and shortcomings of shared-nothing SQL database clusters and how to determine the best clustering approach for your needs.
IT teams need to replicate transactions from databases such as MySQL™, MariaDB and Oracle® to Hadoop in real-time, in order to produce carbon-copy tables and enable the execution of analytic views in Hadoop within multiple environments including Hive. By automatically reading the DBMS and forwarding transactions as soon as they commit, organizations can reduce the load on operational systems, minimize the amount of data that needs to move between locations, and enable transactions to quickly enter the data warehouse.
When using real time replication in conjunction with Apache Sqoop™, businesses can provision information and then replicate transactions incrementally in real-time. This provides continuous data loading so existing data and changes can easily be applied into Hadoop. Real-time replication from operational databases into Hadoop is a technology worth watching, as it will prove to be big move for the MySQL community.
In-memory analytics processing and access to live data is finally achievable and will make active live analytics a real possibility, and that opens up a new area of information processing and exchange.
In this issue, Database Trends and Applications magazine introduces the second annual "DBTA 100" list of companies that matter most in data. With organizations increasingly seeking to become data-driven entities—companies that actually use the data they are amassing for competitive advantage—DBTA set out to recognize innovative providers of hardware, software, and services. Listed here and on the following pages, the 100 companies that matter in data comprises both seasoned veterans and disruptive new vendors.