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insideBIGDATA Latest News – 2/6/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

insideBIGDATA Latest News – 12/5/2019

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

10 Kubernetes Features You Must Know About

In this contributed article, technology writer Gilad David Maayan provides some of the more advanced functionalities and features of Kubernetes to help you get more from your configuration. Kubernetes (k8s) has become key to some of the biggest operations in the world, including Google, Shopify, and Slack. K8s has enabled companies to take advantage of cloud computing in a way that was previously not possible, and it might be able to do the same for big data.

The Beginner’s Guide To Web Data Integration

In this contributed article, well-known tech journalist Luke Fitzpatrick believes that understanding web data integration is crucial in today’s environment because it gives business owners an opportunity to take advantage of the immense volume of data that’s available and gain key insights that would otherwise be impossible.

Hope is Not a Strategy for Deriving Value from a Data Lake

In this contributed article, Christian Kleinerman, VP of Product at Snowflake, discusses how the data lake has evolved since arriving on the technology scene 10+ years ago and why organizations need more than “hope” to unlock the potential it promises.

The insideBIGDATA IMPACT 50 List for Q4 2019

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

Scylla Summit 2019 Comes to San Francisco in November

Scylla community members are invited November 5-6 to Scylla Summit 2019 in San Francisco. Use discount code InsideBigData50 to save 50% on a 2-day summit pass. “See us unveil our latest features, including Lightweight Transactions and Change Data Capture, learn about product-ready capabilities beyond what’s available in Cassandra, like Workload Prioritization, Materialized Views and Global Secondary Indexes, and get a preview of Project Alternator, our open source DynamoDB-compatible API.”

Tips for Using Kubernetes in Large Enterprises

In this contributed article, technology writer Gilad David Maayan provides a clear and concise overview of Kubernetes, the darling of the DevOps community. He then offers a number of useful tips for using Kubernetes on an enterprise scale.

Ascend Creates Automated and Intelligent Dataflows to Power Successful Digital Transformations

Ascend, provider of the Autonomous Dataflow Service, emerged from stealth with $19M in funding to de-risk big data projects and accelerate digital transformations. Ascend operates the only solution with which data engineering teams can quickly build, scale, and operate continuously optimized, Apache Spark-based pipelines. By combining declarative configurations and deep automation, the Ascend Service manages cloud infrastructure, optimizes pipelines, and eliminates maintenance across the entire data lifecycle.

New Syncsort Trillium Software Delivers Data Quality at Scale

Syncsort, a leader in Big Iron to Big Data software, unveiled Trillium DQ for Big Data, providing best-in-class data profiling and data quality capabilities in a single solution, designed to work natively with distributed architectures. Using Trillium DQ for Big Data, organizations can apply data quality to large volumes of enterprise data on-premises or in the cloud, delivering trusted data for business insights and realizing the full potential of emerging technologies to meet their data governance and compliance requirements.