Big Data Solutions

Big Data Analytic Solutions

Data Warehouse Solutions

Big Data Solutions:

Be it web, social media, device/sensor or sub-transactional, each year organizations capture exponentially more data. ITAS can extend your data warehouse architecture to derive intelligence from the integration of “big” transactional and master data.

ITAS consultants can help you design and implement an end-to-end data architecture that leverages Hadoop, NoSQL, high performance analytical databases, and RDBMS-driven data warehouses and marts.

•  Integrated data architecture from big data platform to data warehouse to data mart.

• Creation of ROI options by blending low-cost big data platforms with low-latency database and OLAP platforms.

Architecture   & Planning:  Don’t settle for an ad-hoc architecture. Let ITAS’s skills   in the architecture and design of big data systems get you moving in the   right direction.Implementation Services: Whether   you’re looking for a roadmap, a pilot or a comprehensive implementation, tap   into ITAS’s core big data expertise.

Master the Hadoop Universe

ITAS has expertise in the architecture and integration of the Hadoop ecosystem that includes pure Apache, Cloudera, Hortonworks and MapR. Beyond the core MapReduce functionality, our engineers utilize big data programming technologies such as Pentaho Data Integration (PDI), Pig, and Hive to ensure productivity, maintainable code, and an integrated approach to managing big data with data warehouse content.

Give Structure to NoSQL

ITAS is also expert in the integration of NoSQL databases, like HBase, Cassandra and MongoDB, that enable the real-time access and updating of big data, but have limited support for analytic reporting. Our engineers can help integrate these new data stores into your warehouse and analytic databases, as well as utilize connector and analytic software technology for direct reporting.

Accelerate with Analytic Databases

ITAS’s complete big data architecture includes the new class of high performance analytic databases like Vectorwise, Netezza, Vertica and Greenplum. Unlike Hadoop and NoSQL, these data stores support interactive SQL-based intelligence with the capability of accessing billions of rows of information.

Big Data Analytic Solutions

Get some expert help and start your BI initiative moving in the right direction. Whether you are looking for a pilot data mart implementation, in-depth expertise in Big Data Analytics, or a full range of implementation services in a number of leading platforms and technologies, ITAS has you covered.

Beyond Relational BI

Beyond the classic BI infrastructures with relational databases at their core, ITAS has expertise in the architecture and integration of the Hadoop ecosystem that includes pure Apache, Cloudera, Hortonworks and MapR. ITAS is also an expert in the integration of NoSQL databases, like HBase, Cassandra and MongoDB, that enable the real-time access and updating of big data, but have limited support for analytic reporting. And our team builds complete big data architectures including the new class of high performance analytic databases like VectorWise, Netezza, Vertica and Greenplum.

	Implementation Services: Whether   you’re looking for a roadmap, a pilot or a comprehensive implementation, tap   into ITAS’s core business intelligence and data warehousing expertise.
	Enterprise BI OpenDash: Let ITAS’s   skills in the design and implementation of big data systems help you extend   your data warehouse architecture and advanced business intelligence   initiatives.

Data Warehouse Solutions

ITAS offers comprehensive end-to-end solutions that start with your business goals, through design and implementation to knowledge transfer. ITAS team has the expertise and can help with:

• Data Architecture
• Data Management
• Data Integration
• Data Quality
• Master Data Management

Data Warehouses are optimally designed databases containing data integrated from operational systems across an enterprise. This data then supports the needs of decision makers with complex information that was originally scattered throughout the organization. Data is extracted and integrated from combinations of operational systems, and made readily available to business users to take action through analysis and query.

Data marts are optimally designed databases consolidated from operational systems that are designed to serve a particular community of business users or a particular business process. The data may derive from a database, a data warehouse, or be more specialized. A data mart’s emphasis is on meeting the specific demands of a particular group of knowledge users in terms of analysis, content, presentation, and excellent usability.

ITAS offers comprehensive end-to-end solutions that start with your business goals, through design and implementation to knowledge transfer. These solutions are designed to fit into your existing architecture. The goal of these solutions is the delivery of information via an infrastructure that enables business users to assess, enhance and optimize business performance and operations.

Being able to integrate data is an important factor to any organization wanting to gain insights into their business. Data Integration is the umbrella term for many techniques. The most common technique which all others are derived is Extract, Transform, and Load (ETL). ETL is the ability to extract data from a source, transform it for a given need, and load it into a new target system. The new target is usually a data warehouse. Enterprise Application Integration (EAI) goes the next step by taking data from the data warehouse and pushing it back into an application. Master Data Management (MDM) was developed to synchronize all the many systems that exist within organizations.

ITAS’s team of data integration experts has the skills to quickly integrate data, no matter what flavor of integration is needed.  Contact us today for a free consultation about your Data Integration environment.