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Actian Blog / Tag / Data Warehouse

Tagged Posts: Data Warehouse

Should You Have Separate Document, Time-Series, NoSQL And SQL Databases Or Can A Single Database Support All Of These Data Types And Requirements?
  • July 31, 2019

Should You Have Separate Document, Time-Series, NoSQL and SQL Databases or Can a Single Database Support All of These Data Types and Requirements?

Managing and analyzing heterogeneous data is a challenge for most companies, which the oncoming wave of Edge Computing-generated datasets has only exacerbated. This challenge stems from a rather large “data-type mismatch” as well as how and where data has been incorporated into applications and business process. How did we arrive here? At one time,…

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Managing Data Across Distributed Data Warehouses
  • July 17, 2019

Managing Data Across Distributed Data Warehouses

Data integration, like the digital-transformation initiatives it supports, is a journey and not a destination. Every company is somewhere on a path from the past to a desired state of future integration they’d like to achieve. If your company has existed for a number of years, then you likely have multiple databases, data marts…

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How To Address Integration Challenges With The Proliferation Of IoT Devices
  • July 16, 2019

How to Address Integration Challenges with the Proliferation of IoT Devices

During the past few years, IoT devices have evolved from being a consumer novelty to a core part of next-generation IT ecosystems for businesses of all sizes. IoT devices (such as smart watches, fitbits, home sensors, RFID point of sale scanners, heartbeat monitors, etc) have become attractive and useful because of their inexpensive price…

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Will Data Management In Operational Technology Finally Be Standardized?
  • July 11, 2019

Will Data Management in Operational Technology Finally Be Standardized?

The proliferation of Operational Technology (OT) within companies is increasing, which has led many to ask whether this will lead to standardization of how operational technology generated data is managed? The answer is “it’s complicated.” There is unlikely to be standardization of the data individual operational technology devices generate, but there will be new…

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4 Steps To Build A Capability-Based Data Integration Strategy
  • July 10, 2019

4 Steps to Build a Capability-Based Data Integration Strategy

Data integration will be one of the most important strategic challenges any company’s IT organization will face during the next few years. As rapidly evolving market environments and the drive for business agility compel company leaders to demand better integrated data during near-real time, IT executives and their architects will be faced with an…

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Are You Collecting The Right Data Sources?
  • July 8, 2019

Are You Collecting the Right Data Sources?

Quantity as well as quality are so important to your data, but there is a third dimension to your data puzzle that is even more important – content. As your company evaluates new data sources and improvements to your existing data, ask yourself, “Are we collecting the right data?” Here are three tips to…

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Top Issues In Data Warehousing
  • June 24, 2019

Top Issues in Data Warehousing

With more and more companies embarking on digital transformation journeys, the focus on enterprise data is greater than ever. Data warehousing is not a new concept, but recent developments in the industry are generating a new wave of executive interest and the need to modernize both the approach and solutions for how enterprise data…

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Too Much Data, Too Few Actionable Insights…Too Late!
  • June 17, 2019

Too Much Data, Too Few Actionable Insights…Too Late!

Data is the lifeblood of a modern company. It provides operations staff with visibility of company operations, marketing and product development teams with insights about what’s occurring in the marketplace and company leaders with the input they need to make informed business decisions. Unfortunately, most companies are struggling to translate their data into true…

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2019 Data Management Trends And How They Will Affect Integration
  • June 10, 2019

2019 Data Management Trends and How They Will Affect Integration

2019 is becoming an exciting year for the data management community. Many of the trends of the past few years have successfully made the transition from emerging concepts to mainstream solution approaches. While trends are important building blocks about how companies approach their data management today, they are also providing insights into future capabilities…

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A Cost/Benefit Guide To The Data Warehouse
  • June 4, 2019

A Cost/Benefit Guide to the Data Warehouse

Implementing a data warehouse is a big investment for most companies and the decisions you make now will impact both your IT costs and the business value you are able to create for many years. This concise data warehouse cost/benefit guide will help you understand what to expect, so you can make informed decisions…

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What Is Data Warehouse-as-a-Service?
  • May 28, 2019

What is Data Warehouse-as-a-Service?

Data Warehouse-as-a-Service (DWaaS) is a modern solution to address the data management challenges of today’s companies. Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes. Companies generate tremendous amounts of data each day, but to translate this resource into value, a company needs…

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Connecting To Actian Avalanche from Pentaho via JDBC
  • May 21, 2019

Connecting to Actian Avalanche from Pentaho via JDBC

Actian Avalanche delivers an operational data warehouse as a managed service in the cloud. Its developer-friendly high-performance analytics engine has been proven to outperform other popular analytics platforms without specialized hardware or complicated software development. Actian Avalanche requires minimal setup, provides automatic tuning to reduce database administration effort and enables highly-responsive end-user BI reporting.    This is how to connect…

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Is Your Data Making A Difference?
  • May 21, 2019

Is Your Data Making a Difference?

For many years, companies have been accumulating large amounts of data with an intuitive feeling that it has value and would be put to good use to make more informed business decisions. As we transition into a new era where machine learning and artificial intelligence are enabling more robust analysis of a company’s data…

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