5 Critical Factors to Consider When Choosing a Data Warehouse Solution

Dataversity

We have seen an unprecedented increase in modern data warehouse solutions among enterprises in recent years. Experts believe that this trend will continue: The global data warehousing market is projected to reach $51.18 Click to learn more about author Ammar Ali.

Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

The market for data warehouses is booming. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

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Challenges of maintaining a traditional data warehouse

Big Data Made Simple

This information is vital for decision-making yet it is blocked or hindered due to many challenges of a traditional data warehouse (TDW). In this blog post, we look at the challenges of maintaining and operating a traditional data warehouse and how cloud-based data warehouses can help.

Is Lakehouse Architecture a Grand Unification in Data Analytics?

Dataversity

I do not think it is an exaggeration to say data analytics has come into its own over the past decade or so. What started out as an attempt to extract business insights from transactional data in the ’90s and early 2000s has now transformed into an […].

What is Data Warehouse-as-a-Service?

Actian

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. As one might imagine, data warehouses can be quite large and costly to build and maintain. Anatomy of Data Warehouse-as-a-Service.

Must-Have Features of a Hybrid Cloud Data Warehouse

Actian

Are you considering a hybrid cloud data warehouse for your company? Here is a list of the top must-have features of a hybrid cloud data warehouse solution. This should go without saying – your data warehouse stores a lot of valuable and sensitive information about your company, your products, your customers, and your operations. Your hybrid cloud data warehouse should support multi-cloud deployment.

Real-Time Connected Data Warehouse – Operational Analytics made easy

Actian

You’ve been doing the “digital transformation” thing for a couple of years – integrating your business and IT processes and leveraging technology and data in new ways to drive greater operational efficiency and immersive customer experiences. Your users are happy, but management is starting to ask questions about what’s next and how they can pull together the data from across different systems to drive real-time decision making across your operations.

All Cloud Data Warehouses are NOT Created Equal

Actian

There are a lot of myths and misconceptions about cloud data warehouses. One of the biggest ones is that all cloud data warehouses cost the same. On the surface, cloud data warehouse vendors may talk the same language – describing similar features, benefits and touting the performance gains of operating in the cloud. “We’re moving our data warehouse to the cloud to save money.”

Top Data Analytics Terms You Should Know

The BAWorld

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Is now the right time to modernize your data warehouse?

Actian

When it comes to data management and data warehouse solutions, right now is the best time to move forward on modernization. Legacy data warehouse systems are aging. If you are using an on-premise data warehouse solution, your data center hardware and storage solutions require continual monitoring, maintenance, and upgrades. Modern data warehouse solutions are mainstream tech.

Using a Cloud Data Warehouse to Support Localized Systems

Actian

Over the past few years, we’ve seen an increasing trend of regional governments applying unique restrictions and controls on where data is stored and how it is managed for users and businesses in their jurisdiction. The EU and Japan have recently imposed some strict rules about data export. A cloud data warehouse can be an effective tool in helping your company remain compliant with regional regulations by keeping data within the region it was created.

What is Data Analytics?

The BAWorld

This article is going to describe the concepts of data analytics to answer the question – What is Data Analytics? You can read more articles by clicking on the Data Science/Analytics. What is Data Analytics?

Is Google BigQuery The Future Of Big Data Analytics?

Smart Data Collective

Achieving your company’s target goals can, however, be difficult if you’re unable to access all the relevant and useful data your business has. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

Consolidation of the Database Market and What it Means for Your Data Warehouse

Actian

Why is this important you might ask, and what does it have to do with my data warehouse? The rapid growth and adoption of commercially available cloud services meant that companies could forgo expensive hardware upgrades and the overhead maintenance costs of data centers and instead pay for IT resources and capacity based on utilization. What Database Market Consolidation Means for Your Data Warehouse.

Real-Time Connected Data Warehouse use case – Gain Real-Time Visibility into your IT Infrastructure – Connecting Operations Management, ITSM, and Cloud

Actian

Does your company have a real-time connected data warehouse where you can aggregate data flowing in from all of your IT systems together with streaming data from IoT, mobile, and SaaS services? Can you easily connect your on-premise, cloud, and multi-cloud systems to enable centralized analytics? The first article looked at manufacturing operations and integrating data across your supply chain. Data About Your IT Systems are all Over the Place.

Azure SQL Data Warehouse and Power BI

BI Insight

Without a doubt cloud computing is going to change the future of data analytics and data visualisation very significantly. Microsoft Azure SQL Data Warehouse recently released for public preview. Combining Power BI as a powerful data visualisation tool with Azure SQL Data Warehouse will give the users the ability to see data insights of their … Continue reading Azure SQL Data Warehouse and Power BI.

Avalanche Hybrid Cloud Data Warehouse Offers Free Cloud Storage in a Special, Limited-Time Promotion

Actian

The post Avalanche Hybrid Cloud Data Warehouse Offers Free Cloud Storage in a Special, Limited-Time Promotion appeared first on Actian. Actian Avalanche Data AnalyticsWe are pleased to announce a special offer of $0 cloud storage on AWS, Azure, and Google Cloud Platform for customers of Avalanche. Details of the offer: You will receive up to 10TB Free Cloud Storage with your Avalanche subscription when you purchase a minimum of 4000 AU-hours in a one year contract.

Data Analytics Projects Life Cycle

The BAWorld

How are the Data Analytics projects executed? In this article, I am going to discuss and explain Data Analytics Projects Life Cycle. Over the last two years alone, 90 percent of the data in the world was generated! Read First - What is Data Analytics?

Why Good Data Management Is Essential to Data Analytics

Insight Software

Businesses today have access to a greater volume of data than ever before. Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. Data, Data, and More Data.

Optimizing Cloud Compute and Data Storage for Data Analytics

Actian

When architecting your data warehouse solution, separating compute and data storage is extremely important for both operational sustainability and economic efficiency. Different things drive the technical needs for each of these, the capacity demands of the organization are different, and the best solution requires optimizing compute and data storage separately. As you conduct business, you generate datadata about your customers, your products, your sales, etc.

Using a Cloud Data Warehouse to Support Localized Systems

Actian

Over the past few years, we’ve seen an increasing trend of regional governments applying unique restrictions and controls on where data is stored and how it is managed for users and businesses in their jurisdiction. The EU and Japan have recently imposed some strict rules about data export. A cloud data warehouse can be an effective tool in helping your company remain compliant with regional regulations by keeping data within the region it was created.

Actian Datacast: What’s keeping IT from reaching Cloud Data Warehouse Nirvana?

Actian

Following is the third installment of our in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. You can follow along with the blog series by visiting Data at Work , the official Actian blog. In our last two blogs we looked at how to fully maximize the value of available data and how to leverage the right data for the right decision-making. Modern cloud data warehouses offer many enticing benefits for ITDMs.

Rethinking Data Warehouse Modernization – Charting Your Journey to a Next-gen Cloud Data Warehouse

Actian

Data warehouse modernization. Move your Netezza, Teradata or Exadata data warehouse that likely runs on obsolete, proprietary hardware to a shiny new system that runs in the cloud, costs a fraction of what you were paying before and can be turned on and off like a light switch. Data warehouse modernization projects come in many flavors. Some are straightforward database upgrades or tweaks to data models. Sounds like a no-brainer.

Acquisitions on the Horizon in BI and Data Analytics Industry?

Sisense

2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. We have seen industry rollups in which firms create a collection of analytical tools under one brand. This was the case with QlikTech, TIBCO, and Logi Analytics—each private equity fund move was followed by more acquisitions of additional vendors. To see a BI vendor doubling down on in-data technology isn’t surprising.

Keynote Takeaways From Gartner Data & Analytics Summit

Sisense

Every year there’s high anticipation to see what key message Gartner will present in the yearly Data & Analytics Summits. The BI industry takes Gartner’s perspective very seriously, and year after year, it’s very common to see messages that were first described in the Gartner summits making their way into the websites of many analytics vendors. The crowd who attends these events are made mostly of analytics leaders in Enterprises.

Smarten Advanced Analytics is a Silver Sponsor for Gartner Data & Analytics Summit, June 2019 in Mumbai, India

ElegantJ BI

Smarten, an advanced analytics service provider, has announced that it will act as a Silver Sponsor for the Gartner Data & Analytics Summit 2019, June 10 through June 11 in Mumbai, India where it will demonstrate its Smarten Advanced Analytics solution and its product roadmap for the future of the Smarten Augmented Analytics product suite. S2 and find out how Smarten augmented analytics can engender and simplify analytics throughout the organization.

Why Stream Data Integration is a Must-Have Delivery Style

Actian

In the next few years, it is projected that more than half of major new business systems will use real-time connected data and continuous intelligence to improve decision making. You can’t have continuous intelligence without continuous data ingestion or real-time connected data for decision making if you’re working off data that is processed in batches – you need streaming data. Stream data integration is the way you do that.

Understanding Structured and Unstructured Data

Sisense

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

Modernize Your ETL Processes, Discover Better Insights

Sisense

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

Top Issues in Data Warehousing

Actian

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 is managed. Here are the top 5 issues that IT leaders are facing when charting a future course for data warehousing capabilities.

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

Actian

Data is the lifeblood of a modern company. Unfortunately, most companies are struggling to translate their data into true business value and a sustainable competitive advantage. They have too much data, are generating too few actionable insights, and by the time they do harvest a valuable nugget, the window of opportunity to act on it has passed. Here are some of the most common challenges from business leaders regarding operational data. “We

Continuing to deliver on our hybrid vision: Avalanche for Microsoft Azure

Actian

Azure is growing significantly as a platform in the enterprise space and becoming the de-facto choice for retail analytics. This is particularly appealing to those customers who have large amounts of data which is growing quickly but may not need compute to scale at the same pace. True hybrid platform that analyzes data where it naturally resides . With the addition of Microsoft Azure, Actian’s customers now have another choice as to where they deploy their analytics.

If ETL Is Integration Hell, How Do I Avoid It and Go to Heaven?

Actian

Extract, Transform, and Load (ETL) is the process that has been used to share data between applications, transactional systems, and data warehouses for decades. It essentially works like this; you define an integration, pull the data out of the source system, use some mapping and aggregation rules to transform the data into the format needed by the target system and then you load (save) the data in the target system’s database.

Agile 40

It’s Time for Data Historians to Become … History

Actian

Why a modern time-series capable database can simplify yet enhance time-series data analysis. There are many Operational Technology (OT) environments within manufacturing, oil and gas, engineering research, and countless other industries where complex equipment, machinery, and networks of sensors and devices generate time-series data. These time-series streams range from sensor data representing Pressure, Volume and Temperature to Video streams for machine vision and surveillance.

As AI Algorithms Become More Sophisticated in Edge Devices, Persistent Data Requirements Must Advance at the Same Pace

Actian

AI algorithms are also migrating from centralized data centers (both on-premise and in the cloud) to distributed devices on the edge of networks. Companies use distributed AI algorithms to monitor and optimize real-time operations – receiving inputs from embedded sensors, GPS-enabled mobile applications, IoT devices, and video cameras and aggregating this data into a holistic, digital representation of the physical operations. The need for persistent data.

Getting Started with Avalanche for Azure

Actian

To create your first warehouse, click the green Create your first Cluster button, which will load the below screen to get you set up: . For the cluster size, Actian uses Avalanche Units (AU) to specify the size of your warehouse. AU size of the cluster is not directly linked to the data storage size; your data storage will scale independently of the compute for the cluster. Actian?Avalanche Avalanche ?for

Is Your Data Making a Difference?

Actian

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 assets, it is a good time to assess your current data and whether you have the tools and processes to transform your data into actual business value.

How to Build an Outcomes-Focused Data Strategy

Sisense

Money never sleeps and neither does your data. In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data.

Do You REALLY Know the Benefits of Data Democratization?

ElegantJ BI

Data and BI Democratization IS Crucial! A few months ago, I was talking to a friend (someone who has worked, for years, in the IT industry) and happened to mention data democratization. Get with the Program!

Sisense and Google Cloud: Driving Innovation and Digital Transformation Together

Sisense

The movement of data from on-premise systems to the cloud is imperative; the cloud market is nearly $250B and is growing quickly. Many businesses are discovering that analytics are essential to help businesses survive, and we all live under a cloud of uncertainty.

A Few Proven Suggestions for Handling Large Data Sets

Smart Data Collective

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. Working with massive structured and unstructured data sets can turn out to be complicated.

How Can Manufacturing Data Help Your Organization?

Sisense

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Data is a critical tool for identifying where and how that can be done in any manufacturing process.

Will Data Management in Operational Technology Finally Be Standardized?

Actian

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? There is unlikely to be standardization of the data individual operational technology devices generate, but there will be new capabilities for interoperability, data aggregation and unified analysis. Why operational technology data management may never be standardized.