White Paper

Integration of Cloudera Navigator Enables Data Governance with StreamAnalytix

Integration of Cloudera Navigator Enables Data Governance with StreamAnalytix

Ensuring that the data is well managed, secure, and accessible are some of the critical requirements for organizations relying on data as a core asset for decision making. Therefore, data governance plays a crucial role in formulating effective data strategies for organizations.

Tracing data to its origin is one of the fundamental requirements in any data governance strategy. However, with complex operations taking place within multiple batches and real-time data flow, understanding data lifecycles and the ability to visualize complete data flows is critical to trace data origins.

This white paper explores the challenges of data governance and how integrating Cloudera Navigator within StreamAnalytix can address those challenges.

Highlights:

  • Challenges of data governance
  • Steps to integrate Cloudera Navigator Lineage within StreamAnalytix

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Harnessing IoT data in an always-connected world

Harnessing IoT data in an always-connected world

As the Internet of Things generates incessant data, organizations need smarter and more efficient ways to manage and process fast-growing data volumes.

With modern IoT operations, organizations can analyze unprecedented amounts of data from devices and sensors in real-time. But how can current approaches to data streaming help businesses manage these continuous information channels? And how well equipped are organizations for data visualization of batch and streaming data?

This whitepaper aims to answer these questions and delve into the importance of streaming analytics for today’s organizations. It will also highlight how:

  • Organizations can process high-throughput, geographically distributed events in real-time using data streaming technologies
  • Data streaming technologies, together with HTML5-based web technologies, can deliver state-of-the-art solutions that offer organizations timely operational insights across their businesses
  • You can seamlessly execute the rapid development and operationalization of real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback

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Transforming customer 360 for the connected consumer

Transforming customer 360 for the connected consumer

Massive volumes of customer data are being generated every second. To derive valuable insights from these real-time data streams, businesses must first be able to access a unified, single screen view of the customer journey. Yet, more and more brands are struggling to achieve this unified view.

How can modern enterprises get access to a single-screen view that provides a complete picture of every customer’s past, present, and future? How can they turn transactional customer interactions into personalized conversations in real-time?

This whitepaper explores why real-time customer 360 is imperative for today’s organizations. It also highlights:

  • What is real-time customer 360 and why it is imperative for enterprises
  • How Apache Spark based architecture addresses the challenges of real-time customer 360
  • How a leading cable TV network transformed customer experience with customer 360

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Accelerate Apache Spark Development and Operations

Accelerate Apache Spark Development and Operations

Enterprises are increasingly adopting Spark for tasks ranging from ingestion, ETL, and data processing to advanced analytics and machine learning. But despite its growing popularity, Apache Spark is complex and the learning curve is steep.

Data-driven enterprises can now rely on a low-code solution that provides an alternative to time-consuming and tedious manual programming.

Find out how StreamAnalytix provides a practical and viable alternative to the complexities of building enterprise-grade Spark applications. Download this whitepaper to learn:

  • How you can build and run Apache Spark applications rapidly using StreamAnalytix
  • Quantified metrics of enhanced productivity for Spark development and management over manual programming
  • Examples of how our customers are achieving these metrics with StreamAnalytix

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Enterprise 360: Propelling the Data-driven Enterprise with a Unified View

Enterprise 360: Propelling the Data-driven Enterprise with a Unified View

As businesses continue to grow, existing enterprise data warehouses are faced with the challenge of storing and synthesizing increasing data volumes. Legacy platforms are neither easily scalable nor flexible, and enterprises lack the data integrity needed to make accurate and timely business decisions.

A Single Source of Truth (SSoT) is the answer to these challenges. But how can a centralized data warehouse architecture model help reduce support and maintenance costs, while enabling business users to adapt to the new platform? And how well equipped are enterprises for data visualization of batch and streaming data?

In this whitepaper, we will explore:

  • Why Single Source of Truth is imperative for today’s enterprises
  • The challenges to achieving a unified data model
  • The five-step process to achieving to Single Source of Truth

Download the white paper to learn more.

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Automated Workload Transformation to Cloud: The Future-proof Approach

Automated Workload Transformation to Cloud: The Future-proof Approach

Enterprises have been dependent on traditional data warehouses to ingest, model, and store data for ages. In a typical IT environment, conventional data warehouses would deploy, extract, transform, and load (ETL) jobs to process data in batches. However, handling millions of queries per month come at a considerable cost. Blending petabytes and exabytes of data from various historical and streaming sources such as internal data across spreadsheets, third-party data, and big data stores also make business analysis difficult and time-consuming.

As businesses explore options to shift from traditional data warehouses to meet their demands and scale business operations, the open stack-based cloud platform has gained popularity. Whether it is public, private, or hybrid, enterprises are continuing to move their workloads and applications to the cloud infrastructure. Gartner predicts that more than 50 percent organizations using the cloud today will have all their workloads in the cloud by 2021.

Enterprises will no longer lift-and-shift into the cloud but will instead refactor and rebuild directly in the cloud. While enterprises might retain some mission-critical workloads on-premise, most enterprise data will be in the cloud.

In this white paper, we will explore:

  • Reasons to move to the cloud
  • Challenges of cloud adoption
  • Steps to move to the cloud
  • How to manage the transformation

Download the white paper to learn more.

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