BIG DATA MANAGEMENT

New Technology: The Projected Total Economic Impact™ Of IBM Cloud Pak For Data

May 24, 2022

New Technology: The Projected Total Economic Impact™ Of IBM Cloud
Forrester Consulting provides independent and objective research-based consulting to help leaders succeed in their organizations. Ranging in scope from a short strategy session to custom projects, Forrester’s Consulting services connect you directly with research analysts who apply expert insight to your specific business challenges.

Spotlight

Gluent Inc.

It is an interesting time to be in enterprise IT. There's the old world and the new world. There's the SAN storage + proprietary database world and there's the Cloud + open data formats world. In the new world, you own your data and can process it any way you like, simultaneously. Hadoop with Spark, Storm, Flink, Phoenix, Presto, Hive, Impala or straight MapReduce - you choose. Modern software running in the cloud, on commodity hardware, slowly eats the legacy IT world. However, the old world is not going away - any time soon. We've been around for long enough to know that. Enterprise data continues to be born in many different old world systems, where it will graduate to the new world for modern analytics and processing.

OTHER WHITEPAPERS
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A Modern Data Architecture

whitePaper | April 7, 2021

Assembling the perfect data stack is impossible. But for most data teams, the path to leveraging rapidly evolving tech and best-in-class tools is even more difficult when it’s impeded by the pitfalls of monolithic legacy applications.

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SQL to NoSQL: Architecture Differences and Considerations for Migration

whitePaper | May 26, 2022

Since their invention in 1970 by Edgar Codd, relational databases have served as the default data store for almost every IT organization, large or small. Today, the most iconic and familiar relational databases include IBM DB2, Oracle Database, Microsoft SQL Server, PostgreSQL, and MySQL.

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How to Accelerate Delivery of Your BI Strategy

whitePaper | July 1, 2022

Data is an extremely valuable asset in today’s world. After all, there are entire industries based on it. Because of this, it’s important to evangelize the value of data within your organization.

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Maximize the ROI of Your Databricks Lakehouse with Stardog: Asset

whitePaper | June 2, 2022

Data lakeshold enormous promise in supporting modern enterprise data architectures. Their ability to store a full variety of data types and handle ever-larger data volumes generated at high velocity have contributed to their widespread adoption.

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Evolving Role of Data Scientist in the Age of Personalization

whitePaper | March 12, 2020

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of industrial revolution. It might be claimed that current trends in industrial revolution reflect a paradigm shift towards data centric processing with data science playing an increasingly critical role. This point of view also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption

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Building a Data Management Strategy for Your Nonprofit

whitePaper | June 14, 2022

In a digital-first world, every organization needs a data management plan. Yet, fewer than 25% of nonprofits report having a plan in place. This means data is infrequently shared across departments and rarely used to make decisions or predict future stakeholder behaviors. A data management plan is fundamental to make an impact and an attainable goal regardless of organization sizeor technological capacity. An effective data management plan takes into account your mission, staffing, time, budget, goals, existing technology, and more.

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Spotlight

Gluent Inc.

It is an interesting time to be in enterprise IT. There's the old world and the new world. There's the SAN storage + proprietary database world and there's the Cloud + open data formats world. In the new world, you own your data and can process it any way you like, simultaneously. Hadoop with Spark, Storm, Flink, Phoenix, Presto, Hive, Impala or straight MapReduce - you choose. Modern software running in the cloud, on commodity hardware, slowly eats the legacy IT world. However, the old world is not going away - any time soon. We've been around for long enough to know that. Enterprise data continues to be born in many different old world systems, where it will graduate to the new world for modern analytics and processing.

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