Diyotta

Charlotte, NC, USA
2011
Oct 8, 2020   |  By Diyotta Team
Data migration is the process of transferring data from one location to another. For any data-driven business world, data migration is one of the most important aspects of data management. However, the movement between the data source and the target system is often complicated and requires extra care at every step. Data migration is an intricate and crucial task that is prone to various issues.
Sep 29, 2020   |  By Bharathram Gunasekaran
What is a Data Warehouse? If Business Intelligence (BI) is the cell of an organization, then a data warehouse is the nucleus storing the chromosomes - data. An enterprises’ data warehouse is its source of truth, where all data of different volumes and structures extracted from various sources are organized and stored.
Sep 15, 2020   |  By Ismail Mohamed
Data and analytics are the two essential essences of business transformation in a data-driven industry. Data is used strategically to remain relevant and get a competitive advantage in a specific business area. It’s the fuel that spurts business growth and innovation. Companies are actively collecting, consuming, and putting data into use to solve business problems and achieve specific goals.
Sep 9, 2020   |  By Diyotta
Data Mining With the evolution of modern technology, the amount of data created and consumed every day has increased immensely. Google alone processes about more than 70,000 search queries every second! The data holds the secrets to making processes more efficient, cutting unnecessary costs, negotiating valuable deals, and making more money. But to be able to get to those secrets, you need to dig deep into it and convert information to knowledge.
Sep 2, 2020   |  By Sanjay Vyas
When faced with sudden changes in demand, such as the current pandemic is bringing about in businesses all over the world, data leaders I speak to around the world are doubling down on efforts to move data workloads to the cloud. The financial downturn in 2008 saw the drastic adoption of cloud for applications, led by Netsuite and Salesforce - today, it is the turn for analytical workloads, most notably led by the likes of Snowflake, DataBricks, Looker, ThoughtSpot, and Tableau.
Aug 17, 2020   |  By Sanjay Vyas
It’s an honor to be recognized and have estimable feedback from our valuable customers. There’s no more comprehensive measure of success than customers’ satisfaction and their feedback is our key to improvements and discoveries. So, when I came across our customers’ reviews on Gartner Peer Insights ‘Voice of the Customer’ Data Integration tools, it spurred me to scrutinize Diyotta’s mission, developments, and innovations, from a client’s perspective.
Jul 21, 2020   |  By Bharathram Gunasekaran
Diyotta has upgraded its data integration tool. Diyotta 4.5 comes with new features and customer-driven enhancements. Built on the core capabilities of its existing data integration platform - the new release is a combination of the speed of development, ease of use, better performance, and the creation of a modern data ecosystem.
Jul 1, 2020   |  By Ismail Mohamed
The ever-increasing emphasis on data protection and increasingly stringent country & state regulations on data privacy has pushed organizations to consider a data masking strategy in their data architecture. Particularly to those that store and operate on financial and demographic data of their customers. Invariably, many organizations employ multiple vendors, often spread across the globe for building their analytics solution.
May 5, 2020   |  By Ismail Mohamed
Change Data Capture (CDC) strategy features commonly on enterprise data integration architecture. Getting the changes to the analytics platform from the transactional databases with the lowest latency as possible is a major success criterion for modern data integration projects. It is also an expectation that, such integration should neither place any dependency on vendor-specific proprietary software nor should it require extensive configurations on the source systems.
Apr 28, 2020   |  By Sanjay Vyas
Whether your organization is dealing with the sudden onset of a market downturn, as we currently experience or whether dealing with a fast-growing, hyper-competitive market - getting timely and accurate insights in the hands of the right people can help improve the impact of business decisions.
Oct 14, 2020   |  By Diyotta
Move data into Snowflake fast and easy. CloudSync is a SaaS-based data ingestion tool. It connects to many popular sources, applications, and APIs. Build fully automated data pipelines from source to Snowflake instantly. Affordable and quick to deploy. Get up and running in minutes.
Oct 14, 2020   |  By Diyotta
Move data into Snowflake fast and easy. CloudSync is a SaaS-based data ingestion tool. It connects to many popular sources, applications, and APIs. Build fully automated data pipelines from source to Snowflake instantly. Affordable and quick to deploy. Get up and running in minutes. Visit diyotta.com/cloudsync for a trial and 100 free credits.
Jun 29, 2020   |  By Diyotta
Is controlling data a constant battle? Is managing static and streaming data from highly distributed endpoints making your data workflows cumbersome? Could DPaaS be the answer? As businesses continue to focus on solving core business problems and shifting toward outcomes and value, data is the key to getting the entire organization in alignment.
Jun 4, 2020   |  By Diyotta
Learn how to create multiple data pipelines from Oracle tables to Snowflake using Diyotta's Data Movement Wizard!
Mar 30, 2020   |  By Diyotta
Clearsense CIO, Charles Boicey discusses the benefits of Diyotta on Clearsense's platform.
Jan 30, 2020   |  By Diyotta
Diyotta is a serverless, enterprise-class, data integration platform that connects enterprises to all their data. Quickly and efficiently integrate diverse and emerging sources of data for modern processing environments.
Aug 5, 2019   |  By Diyotta
Diyotta and Spark provide a scalable enterprise class solution that allows organizations to integrate and analyze data from an ever-increasing diverse list of cloud and on-prem sources.
Jul 30, 2019   |  By Diyotta
Diyotta offers more than 150 built-in connectors to easily extract data from standard sources and environments, such as Snowflake, Redshift, Google BigQuery and more!
Jul 16, 2019   |  By Diyotta
This video will familiarize you with the fundamentals of data ingestion using the Diyotta's Data Movement Wizard. This built-in wizard allows users to quickly build data flow and move data from supported sources to any target.
Oct 27, 2020   |  By Diyotta
In today's increasingly fast-paced business environment, organizations need to use more specialized and fitfor-purpose applications to accelerate deployment of functionality and data availability to meet rapidly changing requirements and voluminous data growth. They also need to ensure the coexistence of these applications across heterogeneous data warehouse platforms and clusters of distributed computing systems, while guaranteeing the ability to share data between all applications and systems.
Oct 27, 2020   |  By Diyotta
Advances in technology continue to accelerate the pace and competitive environment of business. Those organizations that are able to utilize information to analyze activities and trends, and create new insights are leading their industries. Business leaders rely on fact based decision-making and information analysis for their competitive advantage. Innovations in technology ranging from automation of manual activities to the interconnectivity of devices for the Internet of Things are contributing to theoverwhelming amounts of data.
Oct 1, 2020   |  By Diyotta
Over the last several years, data complexity has increased dramatically in many companies and continues to do so as more and more data is captured and more databases and object stores emerge to store it. Yet the thirst for data continues with new data sources emerging almost on a daily basis. This includes both internal and external data sources.
Oct 1, 2020   |  By Diyotta
Many organizations are under pressure to capture, manage, and leverage both new big data and exploding volumes of traditional enterprise data. At the same time, many analytics applications demand that old and new data be consolidated at scale to enable broad data exploration and analytics correlations. The data lake has come forward as a new data-driven design pattern for persisting massive data volumes characterized by diverse data types, structures, sources, containers, and frequencies of generation.

Diyotta is the next-generation data integration tool that connects enterprises to all their data. It provides a single integrated platform that makes it easy to quickly and efficiently integrate enormous volumes of data from any source to any target, whether on-premises, in the cloud, or in a hybrid environment.

Our mission is to simplify data ingestion, transformation and streaming so data analytics teams can do what they do best - discover new ideas, drive innovation, and inspire change.

Diyotta is built for modern data architectures where data can be processed in batch, or real-time streams, in the most optimized fashion. It also scales in all dimensions with its agent-based architecture and optimizes the data movement easily and efficiently across several data-points.

Diyotta accelerates time to value for new investments in big data platforms and ongoing modernization of data warehouses. With Diyotta, companies fully leverage their existing platform investment, move to modern data platforms with the highest level of reuse possible, and quickly respond to business needs for new data and analytics.