insideBIGDATA Guide for Higher Education

The goal for this Guide sponsored by Dell Technologies is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in higher education: student success  and workforce readiness, simplified systems and processes, and accelerate research.

insideBIGDATA Guide to Big Data for Finance

The goal for this insideBIGDATA technology guide, sponsored by Dell Technologies, is to provide direction for enterprise  thought leaders on ways of leveraging big `data technologies in support of analytics  proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate: (i) Retail Banking; (ii) Regulatory and Compliance, (iii) Algorithmic Trading; and (iv) Security Considerations.

Making the Most of Your Investment in Hadoop

Hadoop is a popular enabler for big data. But with data volumes growing exponentially, analytics have become restricted and painfully slow, requiring arduous data preparation. Often, querying weeks, months, or years of data is simply infeasible. Download the whitepaper to learn how to deal with the exponential growth of data, reduce time spent on data preparation, and generate insights faster from ad-hoc queries of raw data.

7 Steps for a Developer to Learn Apache Spark

This ebook introduces steps for a developer to understand Spark, at a deeper level, and speaks to the Spark 2.x’s three themes— easier, faster, and smarter. Whether you’re getting started with Spark or already an accomplished developer, this ebook will arm you with the knowledge to employ all of Spark 2.x’s benefits. To learn more download: 7 Steps for a Developer to Learn Apache Spark

Configuration for Big-Data-as-a-Service

This white paper describes a new solution for Big-Data-as-a-Service combining the BlueData EPIC (Elastic Private Instant Clusters) software platform with the HPE Elastic Platform for Big Data Analytics (EPA). BlueData is transforming how enterprises deploy their Big Data applications and infrastructure. To learn more about Big-Data-as-a-Service download this white paper.

Bare-Metal Performance for Big Data Workloads on Docker Containers

In a benchmark study, Intel compared the performance of Big Data workloads running on a bare-metal deployment versus running in Docker containers with the BlueData EPIC software platform. The study found that it is possible to run Big Data workloads in a container-based environment without sacrificing performance. The benefits include agility, flexibility, and cost efficiency. Data science teams can get on-demand Hadoop and Spark clusters, while leveraging enterprise-grade security in a multi-tenant architecture. Get the white paper to learn about this breakthrough benchmark study.

Interactive Analytics, Visualization and Data Modeling on large Hadoop Data Sets

The vision of Hadoop as more than a data store is finally a reality. Thanks to advances from SQL query engines like Spark SQL, Impala, Presto and Hive on Tez, big data technologies are now accessible for business analytics. With Looker, analysts can build a data model across all their data in Hadoop – easily transforming raw data into meaningful metrics and finally allowing business teams to access and explore years of stored data in Hadoop data sets.

Overcome analytic challenges on Hadoop data:

Get more from your Hadoop cluster by analyzing the data where it sits
No need to move or transform the data prior to performing analysis
Interact with your data through a familiar language – SQL on Hadoop
Create a single source of truth for your enterprise that’s governed by a data model
To learn more download this white paper.

How To Scale Business Intelligence With Hadoop- Based Platforms

Analyzing big data poses multiple challenges. Highly parallel distributed data architecture is one solution, but until recently it has been mostly limited to databases, not business intelligence (BI) application servers. In this report, application development and delivery (AD&D) pros working on BI initiatives will learn about the capabilities of distributed BI platforms mostly based on […]

Big Data Cybersecurity Analytics Research Report Ponemon Institute

In this report, Ponemon Institute is pleased to present the findings of Big Data Cybersecurity Analytics, sponsored by Cloudera.

SQL Engine Leads the Heard

In almost every organization, SQL is at the heart of enterprise data used in transactional systems, data warehouses, columnar databases and analytics platforms to name just a few examples. Additionally, a vast number of commercial and in-house developed tools used to access, manipulate and visualize data rely on SQL. SQL is lifeblood of the modern transaction and decision support systems.