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"The forces that gave rise to data warehousing in the 1980s are just as important today. However, history reveals the benefits and drawbacks of the traditional data warehouse and how it falls short. This eBook explains how data warehousing has been re-thought and reborn in the cloud for the modern, data-driven organization."

If you’re considering your first or next data warehouse, this complimentary eBook explains the cloud data warehouse and how it compares to other data platforms. Download Cloud Data warehouse for Dummies and learn how to get the most out of your data. Highlights include: What a cloud data warehouse is Trends that brought about the adoption of cloud data warehousing How the cloud data warehouse compares to traditional and noSQL offerings How to evaluate different cloud data warehouse solutions Tips for choosing a cloud data warehouse

To thrive in today’s world of data, knowing how to manage and derive value from of semi-structured data like JSON is crucial to delivering valuable insight to your organization. One of the key differentiators in Snowflake is the ability to natively ingest semi-structured data such as JSON, store it efficiently and then access it quickly using simple extensions to standard SQL. This eBook will give you a modern approach to produce analytics from JSON data using SQL, easily and affordably.

Compared with implementing and managing Hadoop (a traditional on-premises data warehouse) a data warehouse built for the cloud can deliver a multitude of unique benefits. The question is, can enterprises get the processing potential of Hadoop and the best of traditional data warehousing, and still benefit from related emerging technologies? Read this eBook to see how modern cloud data warehousing presents a dramatically simpler but more power approach than both Hadoop and traditional on-premises or “cloud-washed” data warehouse solutions.

Read about what makes data warehousing as a service different from traditional data warehousing–it’s more than just a data warehouse in the cloud.

Learn why Snowflake is reinventing the data warehouse to meet the changing nature of data and its usage within the enterprise.

Find out why data professionals are NOT replacing their data warehouse with Hadoop—read the survey

Six things that are critical to evaluate for data warehousing in the cloud.

Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises data centers.

Data today comes from diverse sources in diverse forms and needs to be analyzed by ever more users as quickly as possible. Those demands are stressing the limitations of traditional data warehouses and data platforms. Snowflake has reinvented the data warehouse, making it possible to bring all your business data together in a single system that can support all your users and workloads. Built from the cloud up as a software service, Snowflake eliminates the cost, complexity, and inflexibility of existing solutions while allowing you to use the tools and skills you already have.

Jana provides free, unrestricted internet access to more than 30 million smartphone users in emerging markets. With their mCent Android app, Jana shifts the cost of mobile data to brands via sponsored content. When users engage with content in mCent, they earn free mobile data that can be used anywhere on the internet. Jana product managers use data to constantly analyze how well each of the features in mCent performs, to determine which features should be turned on for everyone, and which features should be turned off.

CapSpecialty, through its subsidiaries, is a leading provider of specialty insurance for small to mid-sized businesses in the U.S., offering commercial property and casualty, professional liability, surety and fidelity products in all 50 states and the District of Columbia. By working with select partners through a limited distribution model, CapSpecialty’s creative, hardworking team provides personalized service and cultivates mutually successful partnerships to deliver positive results.

This EMA case study profiles the implementation of the Snowflake Elastic Data Warehouse, a new generation of cloud-based data warehouses, by Accordant Media. This document details significant tangible and intangible improvements and opportunities the Snowflake solution created for the Accordant Media infrastructure and analytical teams.

In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.