Hadoop Articles
At the Strata Data conference in New York, Attunity, a provider of data integration and big data management software solutions, showcased the new release of its data integration platform designed to address the changing needs of companies with advanced analytics and data management initiatives. According to Kevin Petrie, senior director and technology evangelist at Attunity, many legacy data integration tools are not able to handle the necessary volume and variety of data feeding to the cloud at the required performance levels.
Posted October 02, 2017
Alation and Paxata have announced a partnership and integration to simplify the establishment of trust in the data lake. Alation is a provider of software for collaborative data cataloging to enable analysts and information stewards to search, query and collaborate for faster, more accurate insights. Paxata provides an enterprise-grade, self-service, scalable, intelligent platform that enables business consumers to quickly transform raw data into ready information.
Posted September 28, 2017
BlueData, provider of a Big-Data-as-a-Service (BDaaS) software platform, is enhancing its BlueData EPIC platform and extending the solution to Google Cloud Platform (GCP) and Microsoft Azure. This release adds new innovations and options for running Hadoop, Spark, and other Big Data workloads on Docker containers -- delivering on the requirements from its rapidly growing customer base, including many of the world's largest enterprises across multiple industries.
Posted September 28, 2017
Informatica has introduced a new set of solutions and enhancements for intelligent data lake management and enterprise data cataloging to improve regulatory compliance in the era of GDPR. The solutions also feature integration with Hortonworks Atlas and support for Cloudera Altus, expanding Informatica's coverage across hybrid enterprise deployments, on premises and in the cloud.
Posted September 27, 2017
MapR Technologies announced database innovations for data-intensive applications, including advancements for developers that enable rich applications, in-place and continuous machine learning/AI and SQL capabilities, and global real-time data integration and micro-services support.
Posted September 26, 2017
Hortonworks has announced the Hortonworks DataPlane Service (Hortonworks DPS) to help improve the process of provisioning and operating distributed data systems for data science, self-service analytics or data warehousing optimization.
Posted September 25, 2017
As companies grow increasingly data-centric in their decision making, product and services development, and their overall understanding of the world they work in, speed and agility are becoming critical capabilities. A common theme in big data and analytics today is "Industry 4.0," representing a new wave of technology that enables the automation necessary for scaling. There's compelling justification for this as companies seek to unlock business value from big data with two broad approaches: the democratization of data with greater access by more users, and the enablement of automation everywhere possible.
Posted September 20, 2017
Many people are unsure of the differences between deep learning, machine learning, and artificial intelligence. Generally speaking, and with minimal debate, it is reasonably well-accepted that artificial intelligence can most easily be categorized as that which we have not yet figured out how to solve, while machine learning is a practical application with the know-how to solve problems, such as with anomaly detectio
Posted September 20, 2017
Syncsort is releasing a new platform that will deliver an agile, efficient, and powerful solution that will improve data stored and processed in data lakes. Trillium Quality for Big Data integrates Trillium data quality capabilities with the Intelligent Execution (IX) technology from its DMX-h Big Data integration solution.
Posted September 19, 2017
Actian, a provider of software for data management, analytics and integration, has announced support for Apache Spark in the latest release of Actian Vector in Hadoop (VectorH). Actian Vector technology exploits vectorized processing and multi-level in-memory acceleration to improve performance on Hadoop data stores. It supports single node, clustered, and hybrid computing environments that span on-premise and the cloud.
Posted September 19, 2017
On Sunday at Oracle OpenWorld, several Oracle user groups, including the IOUG, will bring the experiences of our users and experts to San Francisco and share with thousands of our peers. If you're coming to OpenWorld, I can't say enough about how important it is to participate in the Sunday Program.
Posted September 06, 2017
MapR has introduced the MapR Orbit Cloud Suite which provides a comprehensive set of cloud computing capabilities for the MapR Converged Data Platform to enable organizations to build data fabrics that manage data across one or more clouds, hybrid clouds, or to the edge.
Posted August 30, 2017
Docker has announced the latest release of Docker Enterprise Edition (EE), a container as a service (CaaS) platform for managing and securing Windows, Linux, and mainframe applications across both on premises and cloud infrastructure.
Posted August 28, 2017
Databricks, founded by the team that created Apache Spark, has secured $140 million in a Series D funding round led by Andreessen Horowitz. The new funding brings Databricks' total capital raised to $247 million, and will accelerate the company's investment in making artificial intelligence (AI) achievable for enterprise organizations with its Unified Analytics Platform.
Posted August 22, 2017
Centerbridge Partners, L.P., a private investment firm, has completed the $1.26 billion acquisition of enterprise software providers Syncsort Incorporated and Vision Solutions, Inc. from affiliates of Clearlake Capital Group, L.P. Headquartered in Pearl River, NY, the new company benefits from a dramatic increase in global presence, as well as significantly expanded product offerings, afforded by the combination.
Posted August 18, 2017
Kyvos Insights, a big data analytics company, is releasing Kyvos 4.0, providing users with new capabilities for creating data cubes with near limitless scalability and performance. Kyvos 4.0 delivers new levels of scalability, performance, and support for concurrent users, enabling organizations to provide self-service, interactive business intelligence (BI) on big data for all of their users across the enterprise.
Posted August 15, 2017
IBM announced a new all-flash, high-performance data and file management solution for enterprise clients running exabyte-scale big data analytics, cognitive and AI applications. The combined flash and storage software solution has been certified with the Hortonworks Data Platform (HDP) to provide clients with more choice in selecting the right platform for their big data analytics on data processing engines like Hadoop and Spark.
Posted August 14, 2017
In the new world of big data and the data-driven enterprise, data has been likened to the new oil, a company's crown jewels, and the transformative effect of the advent of electricity. Whatever you liken it to, the message is clear that enterprise data is of high value. And, after more than 10 years, there is no technology more aligned with advent of big data than Hadoop.
Posted August 02, 2017
It's been long acknowledged that data is the most precious commodity of the 21st-century business, and that all efforts and resources need to be dedicated to the acquisition and care of this resource. Lately, however, executives have become enamored with the vision of transforming their organizations into "data-driven" enterprises, which move forward into the future on data-supported insights. So, what, exactly, does the ideal "data-driven enterprise" look like?
Posted July 27, 2017
The data manager now sits in the center of a revolution swirling about enterprises. In today's up-and-down global economy, opportunities and threats are coming in from a number of directions. Business leaders recognize that the key to success in hyper-competitive markets is the ability to leverage data to draw insights that predict and provide prescriptive action to stay ahead of markets and customer preferences. For that, they need to keep up with the latest solutions and approaches in data management. Here are 12 of the key technologies turning heads—or potentially opening enterprise wallets—in today's data centers.
Posted July 19, 2017
MicroStrategy, a provider of enterprise analytics and mobility software, is releasing MicroStrategy 10.8, updating critical capabilities across enterprise analytics, enterprise mobility, embedded analytics, enterprise cloud, and enterprise IoT.
Posted July 05, 2017
Snowflake Computing, a provider of cloud data warehouse technology, is extending its concept of the modern data warehouse to what it calls a "data sharehouse."
Posted June 22, 2017
SAP and Accenture are expanding their collaboration to co-innovate, co-develop, and jointly go to market with digital solutions based on the new SAP Leonardo digital innovation system. The long-standing strategic partners will focus on embedding digital technologies including additional machine learning, analytics, and the Internet of Things (IoT) at the core of clients' businesses to deliver even greater value from their SAP investments.
Posted June 21, 2017
Syncsort, a provider of data integrity and integration solutions for next-generation analytics, has announced new capabilities in its mainframe data access and integration solution that populates Hadoop data lakes with changes in mainframe data.
Posted June 20, 2017
New and emerging vendors offer fresh ways of dealing with data management and analytics challenges in areas such as data as a service, security as a service, cloud in a box, and data visualization. Here, DBTA looks at the 10 companies whose approaches we think are worth watching.
Posted June 16, 2017
IBM and Hortonworks are expanding their partnership focused on extending data science and machine learning to more developers and across the Apache Hadoop ecosystem. The companies are combining the Hortonworks Data Platform (HDP) with the IBM Data Science Experience and IBM Big SQL into new integrated solutions designed to help users better analyze and manage data for better decision making.
Posted June 13, 2017
Attunity Ltd., a provider of data integration and big data management software solutions, is launching a new solution, Attunity Compose for Hive, which automates the process of creation and continuous loading of operational and historical data stores in a data lake.
Posted June 13, 2017
Addressing the rise of hybrid deployments, Hortonworks has introduced a new software support subscription to provide seamless support to organizations as they transition from on-premise to cloud. Separately, Hortonworks also announced the general availability of Hortonworks Dataflow (HDF) 3.0, a new release of its open source data-in-motion platform, which enables customers to collect, curate, analyze and act on all data in real-time, across the data center and cloud.
Posted June 12, 2017
The demand for speed and agility are among the key drivers of the growing DevOps movement, which seeks to better align software development and IT operations. Yet, challenges still exist.
Posted June 07, 2017
Databricks has introduced a new offering to simplify the management of Apache Spark workloads in the cloud. "Databricks Serverless" is a managed computing platform for Apache Spark that allows teams to share a pool of computing resources and automatically isolates users and manages costs. The new offering aims to remove the complexity and cost of users managing their own Spark clusters.
Posted June 06, 2017
MapR Technologies, Inc., provider of a converged data platform that integrates analytics with operational processes in real time, has announced MapR-XD, a cloud-scale data store to manage files and containers. As part of the MapR Converged Data Platform, MapR-XD supports any data type from the edge to the data center and multiple cloud environments with automatic policy-driven tiering from hot, warm or cold data to enable customers to create global data fabrics which are ready for analytical and operational applications.
Posted June 06, 2017
In the last few years, a frequent topic of conversation within some of the largest corporations in the world has been the move to the cloud—how to prepare for it, how to address it, and how to benefit from it. Yet over the past several months, some are also talking about a more ambitious goal: to be cloud-only by 2025.
Posted June 01, 2017
Pythian, a technology services provider, is launching a customized analytics solution that integrates multiple data types from both internal and external sources. The new solution, "Kick Analytics As A Service" (Kick AaaS), gathers multi-source, multi-format data together in the cloud, and adds advanced analytics, machine learning and visualizations to ensure business users and business systems get the insights they need when they need them
Posted May 31, 2017
Qubole, the big data-as-a-service company , is building an autonomous data platform that will include Qubole Data Service (QDS) Community Edition, QDS Enterprise Edition, and QDS Cloud Agents. The solution can intelligently automate and analyze platform usage to make data teams more effective.
Posted May 26, 2017
When people talk about the next generation of applications or infrastructure, what is often echoed throughout the industry is the cloud. On the application side, the concept of "serverless" is becoming less of a pipe dream and more of a reality. The infrastructure side has already proven that it is possible to deliver the ability to pay for compute on an hourly or more granular basis.
Posted May 15, 2017
What are the enabling technologies that make enterprise architecture what it is today? There are a range of new-generation technologies and approaches shaping today's data environments. The key is putting them all together to help enterprise architecture fit into the enterprise's vision of itself as a data-driven organization. Tools and technologies emerging within today's data-driven enterprise include cloud, data lakes, real-time analytics, microservices, containers, Spark, Hadoop, and open source trends.
Posted May 15, 2017
Dell EMC is announcing new data backup and protection solutions to enable customers to ensure data is secure, backed up and protected against disasters and outages.
Posted May 09, 2017
Advanced Systems Concepts, Inc. (ASCI) has released an update to its flagship platform that adds support for Hadoop ecosystem as well as workflow performance. ActiveBatch Version 11 is designed to get data into the hands of end users in real-time.
Posted May 08, 2017
Confluent, a provider of a streaming platform based on Apache Kafka, is rolling out Confluent Cloud, a fully managed streaming data service aimed at helping developers to focus on building streaming applications with Apache Kafka, rather than Kafka operations. Currently available via an early access program, the Confluent Cloud service will initially be available in Amazon Web Services, with support for Microsoft Azure and Google Cloud to be added in the future.
Posted May 08, 2017
Cloudera, which last week began trading on the New York Stock Exchange under the symbol "CLDR," has announced the general availability of the Cloudera Data Science Workbench, a self-service tool for data scientists. The workbench, which was announced in beta at Strata+Hadoop World San Jose 2017, enables fast, easy and secure self-service data science for the enterprise.
Posted May 02, 2017
Cloudera, a provider of a platform for machine learning and advanced analytics built on open source technologies including Hadoop, launched an IPO and is beginning public trading on the New York Stock Exchange under the symbol "CLDR."
Posted April 28, 2017
MicroStrategy is partnering with Alation, offering users of Alation Data access to a data catalog directly within the MicroStrategy interface that can seamlessly conduct self-service enterprise data discovery and analytics in the MicroStrategy platform. When Alation connects to an organization's data sources, it crawls and indexes data assets stored across different physical repositories, including databases, Hadoop files and data visualization tools, to produce a rich catalog.
Posted April 18, 2017
As mobile has pushed deeper into enterprises, there is a growing recognition that it may be possible to run significant parts of businesses from relatively small devices. While mobile devices may not be ready to run entire enterprises, in many cases, they certainly can run more limited functions.
Posted April 18, 2017
Hewlett Packard Enterprise (HPE) is announcing its HPE SecureData platform has achieved the industry's Federal Information Processing Standard (FIPS) 140-2 validation of Format-Preserving Encryption (FPE). HPE SecureData has the world's first FIPS-validated AES-FF1 encryption configuration option to operate in strict FIPS mode, according to the vendor.
Posted April 13, 2017
Innovative technologies, such as artificial intelligence, augmented reality, robotics, and IoT, have had, and will continue to have, broad impact that we don't yet fully understand. Organizations that adopt these technologies will require new business models and processes. We will need to understand who our customers are and what they expect. The world of work as we know it today will continue to evolve at a faster pace—this is why adaptability and resilience are critical to a vibrant career.
Posted April 12, 2017
MapR Technologies has released an updated version of the MapR Ecosystem Pack (MEP) program, a set of open source ecosystem projects that support applications running on the MapR Converged Data Platform with inter-project compatibility.
Posted April 10, 2017
By now we are all in agreement: The business of data is changing. Business users are more empowered to work with data; IT is becoming less about control and more about enablement. New data science job descriptions—such as the data scientist—are springing up as companies everywhere look for the right people with the right skill sets to squeeze more value from their data. Data itself is getting bigger, hardware more economical, and analytical software more "self-service." We've embraced the paradigm shift from traditional BI to iterative data discovery. It's a new era.
Posted April 07, 2017